http://sedici.unlp.edu.ar:80/handle/10915/158708 Thu, 12 Nov 2026 11:31:52 GMT 2026-11-12T11:31:52Z http://sedici.unlp.edu.ar:80/handle/10915/158910 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture The prediction of normalized vegetation indices in coffee crops using multispectral images obtained by aerial mapping aims to generate a technological strategy using aerial mapping employing drones (RPAS) to predict normalized vegetation index (ENDVI) in coffee crops. During the research process, reference is made to the ENDVI according to the multispectral footprints generated by the different nutrients on the plants in the production stage of the coffee crop, using RPAS for the realization of aerial mapping works in precision agriculture. This reflects the importance of implementing technological tools to improve the planning of agricultural activities, predict damage and decide in situations that affect the development of coffee crops. This study took multispectral images of coffee crops from aerial mapping in the coffee plantations of the Popayan plateau region. It will also analyze the health status of the plants using a chlorophyll meter. From this comparative analysis of the different ENDVI, it is possible to define management alternatives to improve production. However, the images will be captured with unique cameras incorporated in the RPAS, allowing the identification of the variations of the lots and coffee plants in the formative stage of their phenological development, the absorption of nutrients, and the water stress of the crop. Finally, some strategies for integrating expert systems in aerial mapping are proposed. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158910 2023-01-01T00:00:00Z The prediction of normalized vegetation indices in coffee crops using multispectral images obtained by aerial mapping aims to generate a technological strategy using aerial mapping employing drones (RPAS) to predict normalized vegetation index (ENDVI) in coffee crops. During the research process, reference is made to the ENDVI according to the multispectral footprints generated by the different nutrients on the plants in the production stage of the coffee crop, using RPAS for the realization of aerial mapping works in precision agriculture. This reflects the importance of implementing technological tools to improve the planning of agricultural activities, predict damage and decide in situations that affect the development of coffee crops. This study took multispectral images of coffee crops from aerial mapping in the coffee plantations of the Popayan plateau region. It will also analyze the health status of the plants using a chlorophyll meter. From this comparative analysis of the different ENDVI, it is possible to define management alternatives to improve production. However, the images will be captured with unique cameras incorporated in the RPAS, allowing the identification of the variations of the lots and coffee plants in the formative stage of their phenological development, the absorption of nutrients, and the water stress of the crop. Finally, some strategies for integrating expert systems in aerial mapping are proposed. http://sedici.unlp.edu.ar:80/handle/10915/158908 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture La elicitación de requisitos se considera como una actividad compleja y vital del proceso de desarrollo de software, en la cual se busca abstraer y comprender problemas y necesidades que se pueden resolver con la construcción de un producto software. Así como es conocida su importancia, sigue siendo una de las actividades más débiles del proceso, siendo esencialmente, una actividad humana en la cual se intercambian diferentes perspectivas, experiencias y conocimientos para recopilar y modelar lo que el software debe hacer. Además, en esta se conjugan una mezcla de estrategias, herramientas y colaboraciones entre per sonas, lo que hace que el entendimiento común y homogéneo de estos problemas y necesidades no se logre fácilmente. En consecuencia, este artículo presenta el avance inicial de la investigación que ha permitido articular y fundamentar una propuesta para la definición de un proceso de trabajo colaborativo, en la elicitación de requisitos basado en entendimiento compartido. Este proceso busca guiar y apoyar la construcción del entendimiento compartido para que la elicitación de los requisitos sea más confiable y por ende la construcción de producto software también. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158908 2023-01-01T00:00:00Z La elicitación de requisitos se considera como una actividad compleja y vital del proceso de desarrollo de software, en la cual se busca abstraer y comprender problemas y necesidades que se pueden resolver con la construcción de un producto software. Así como es conocida su importancia, sigue siendo una de las actividades más débiles del proceso, siendo esencialmente, una actividad humana en la cual se intercambian diferentes perspectivas, experiencias y conocimientos para recopilar y modelar lo que el software debe hacer. Además, en esta se conjugan una mezcla de estrategias, herramientas y colaboraciones entre per sonas, lo que hace que el entendimiento común y homogéneo de estos problemas y necesidades no se logre fácilmente. En consecuencia, este artículo presenta el avance inicial de la investigación que ha permitido articular y fundamentar una propuesta para la definición de un proceso de trabajo colaborativo, en la elicitación de requisitos basado en entendimiento compartido. Este proceso busca guiar y apoyar la construcción del entendimiento compartido para que la elicitación de los requisitos sea más confiable y por ende la construcción de producto software también. http://sedici.unlp.edu.ar:80/handle/10915/158906 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture The main idea is to organize the data exposed in Web site interfaces so that they can be processed or used efficiently, either by a person or automated by a machine through an algorithm. The structure or model that will be used in this approach is that of a graph, where each node will be an object abstracted from the DOM. From the point of view of external structures, currently the information on the web is very little combinable, to be able to establish connections or think about object relationships, which leads to not being able to process information effectively and efficiently, In addition, automating a task becomes complex, so providing a user with a model in which they can integrate this data and information will greatly alleviate this lack of integration. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158906 2023-01-01T00:00:00Z The main idea is to organize the data exposed in Web site interfaces so that they can be processed or used efficiently, either by a person or automated by a machine through an algorithm. The structure or model that will be used in this approach is that of a graph, where each node will be an object abstracted from the DOM. From the point of view of external structures, currently the information on the web is very little combinable, to be able to establish connections or think about object relationships, which leads to not being able to process information effectively and efficiently, In addition, automating a task becomes complex, so providing a user with a model in which they can integrate this data and information will greatly alleviate this lack of integration. http://sedici.unlp.edu.ar:80/handle/10915/158905 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture La construcción de software seguro continúa siendo un desafío que trata los requerimientos de seguridad como no funcionales y los resuelve en etapas tardías del proceso de desarrollo de software. En un contexto de Continuous Software Engineering (CSE), considerada como la práctica corriente para la construcción de software, raramente existe una etapa de análisis de una arquitectura que garantice minimizar riesgos de vulnerabilidades conocidas. Esto conduce a la construcción de software inseguro que demanda acciones de detección posterior de vulnerabilidades. En el mejor de los casos serán eliminadas con un gran costo de recursos. O directamente se libera software con vulnerabilidades conocidas que tendrán que ser eliminadas en una etapa de actualización en versiones posteriores. Este trabajo describe las ideas seminales para enfrentar el desafío de construir un método y un sistema de recomendación de arquitecturas seguras de software. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158905 2023-01-01T00:00:00Z La construcción de software seguro continúa siendo un desafío que trata los requerimientos de seguridad como no funcionales y los resuelve en etapas tardías del proceso de desarrollo de software. En un contexto de Continuous Software Engineering (CSE), considerada como la práctica corriente para la construcción de software, raramente existe una etapa de análisis de una arquitectura que garantice minimizar riesgos de vulnerabilidades conocidas. Esto conduce a la construcción de software inseguro que demanda acciones de detección posterior de vulnerabilidades. En el mejor de los casos serán eliminadas con un gran costo de recursos. O directamente se libera software con vulnerabilidades conocidas que tendrán que ser eliminadas en una etapa de actualización en versiones posteriores. Este trabajo describe las ideas seminales para enfrentar el desafío de construir un método y un sistema de recomendación de arquitecturas seguras de software. http://sedici.unlp.edu.ar:80/handle/10915/158904 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture Conversational User Interfaces (CUI), both in voice interaction and chatbot ways, have become an important and popular way of interacting with current applications. These kinds of interfaces are nowadays spreading around the Web for multiple purposes, although the vast majority of Web sites do not provide them yet. There is still a huge gap between what Web applications allow users to do via Graphical User Interfaces (GUI), and what CUI offers. Also, there are unanswered questions about CUI design and its usability impacts on web browsing. Although other approaches for CUIs creation, the proposed approach transfers the responsibility of creating the conversational interfaces to the users of the Web browser, instead of remaining an implementation decision taken by the Web site owners. In this sense, an End-User Development (EUD) environment was designed to allow end users to define conversational interfaces by themself, based on annotations of UI elements from Web Sites. In the case of Chatbots, plugged into the target Web sites, and in the case of Voice Interfaces (VUI), creating applications for smart speakers’ devices based on third-party Web sites content. The underlying ideas and the reference architecture could be used to create tools that allow fast prototyping of CUIs, which could be important to conduct exploratory studies about the impact of using them in Web applications. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158904 2023-01-01T00:00:00Z Conversational User Interfaces (CUI), both in voice interaction and chatbot ways, have become an important and popular way of interacting with current applications. These kinds of interfaces are nowadays spreading around the Web for multiple purposes, although the vast majority of Web sites do not provide them yet. There is still a huge gap between what Web applications allow users to do via Graphical User Interfaces (GUI), and what CUI offers. Also, there are unanswered questions about CUI design and its usability impacts on web browsing. Although other approaches for CUIs creation, the proposed approach transfers the responsibility of creating the conversational interfaces to the users of the Web browser, instead of remaining an implementation decision taken by the Web site owners. In this sense, an End-User Development (EUD) environment was designed to allow end users to define conversational interfaces by themself, based on annotations of UI elements from Web Sites. In the case of Chatbots, plugged into the target Web sites, and in the case of Voice Interfaces (VUI), creating applications for smart speakers’ devices based on third-party Web sites content. The underlying ideas and the reference architecture could be used to create tools that allow fast prototyping of CUIs, which could be important to conduct exploratory studies about the impact of using them in Web applications. http://sedici.unlp.edu.ar:80/handle/10915/158903 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture The social life of students at university has an impact on their educational success. The allocation of accommodation is part of this aspect. This article presents our proposal to improve students’ allocation accommodation. We aim to support university administrative departments for the selection of students for housing. Therefore, we propose a decision support system based on multi-criteria decision support methods. To calculate the weights of the criteria, we use the Analytic Hierarchy Process (AHP) method. Then, to rank the students, Analytic Hierarchy Process, Weighted Sum Method (WSM) and Preference Ranking Organisation Method for Enrichment Evaluation methods (PROMETHEE) are used. The aim is to find the most adequate method to rank the students. The result is achieved because the AHP can calculate the weight of criteria and the AHP, WSM and PROMETHEE are able to rank the students. This paper is partially supported by funding provided by the STIC AmSud program, Project 22STIC-01. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158903 2023-01-01T00:00:00Z The social life of students at university has an impact on their educational success. The allocation of accommodation is part of this aspect. This article presents our proposal to improve students’ allocation accommodation. We aim to support university administrative departments for the selection of students for housing. Therefore, we propose a decision support system based on multi-criteria decision support methods. To calculate the weights of the criteria, we use the Analytic Hierarchy Process (AHP) method. Then, to rank the students, Analytic Hierarchy Process, Weighted Sum Method (WSM) and Preference Ranking Organisation Method for Enrichment Evaluation methods (PROMETHEE) are used. The aim is to find the most adequate method to rank the students. The result is achieved because the AHP can calculate the weight of criteria and the AHP, WSM and PROMETHEE are able to rank the students. http://sedici.unlp.edu.ar:80/handle/10915/158888 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture Nowadays, many countries have been implementing precision agricul- ture systems based on the Internet of Things (IoT) as they are useful tools to manage and monitor crop information for farmers. There is a wide diversity of approaches that help and facilitate producers to manage their agricultural land. IoT systems provide capabilities to adapt to the user's environment, for example by sensing data through wireless sensors or other devices. In agriculture, they can support the early detection of possible crop alterations and prevent production losses, thus improving the quantity and quality of the harvest, considering that each crop requires a personalized intervention. This research aims to propose an IoT system for the management and monitoring of the agricultural lands of the indigenous communities of Cauca, where Internet access is limited. The system adapts to the needs of the user, their agricultural and environmental information, time, location and traditional practices. This article introduces the IoT architecture and models, which were used to implement and test a prototype called Food- Craft. For the design of this system, there is satellite communication between IoT points with difficult access to the Internet. On the other hand, all sensor data is successfully received by the Arduino mega and sent to the database with the ESP8266 so that it can be accessed through the integrated Android app and web- site. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158888 2023-01-01T00:00:00Z Nowadays, many countries have been implementing precision agricul- ture systems based on the Internet of Things (IoT) as they are useful tools to manage and monitor crop information for farmers. There is a wide diversity of approaches that help and facilitate producers to manage their agricultural land. IoT systems provide capabilities to adapt to the user's environment, for example by sensing data through wireless sensors or other devices. In agriculture, they can support the early detection of possible crop alterations and prevent production losses, thus improving the quantity and quality of the harvest, considering that each crop requires a personalized intervention. This research aims to propose an IoT system for the management and monitoring of the agricultural lands of the indigenous communities of Cauca, where Internet access is limited. The system adapts to the needs of the user, their agricultural and environmental information, time, location and traditional practices. This article introduces the IoT architecture and models, which were used to implement and test a prototype called Food- Craft. For the design of this system, there is satellite communication between IoT points with difficult access to the Internet. On the other hand, all sensor data is successfully received by the Arduino mega and sent to the database with the ESP8266 so that it can be accessed through the integrated Android app and web- site. http://sedici.unlp.edu.ar:80/handle/10915/158887 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture Thanks to the internet of things (IoT) and cyber physical systems (CPS), we face an incremental growth of the available data, either on the internet or in private databases. This resulted in data mining techniques becoming an essential piece in the information retrieval process. Moreover, trends like the industry 4.0 encourages its usage to support data driven decisions, for instance. Formal Concept Analysis (FCA) is one of the most used techniques in the unsupervised data mining field due to its inherent ability to find patterns between concepts. As a consequence, many applications need the use of fast algorithms to perform the calculations to retrieve either the lattice or the association rules related with the data at their disposal. Due to this, scientists often rely on manually crafted benchmarks to compare how certain algorithms perform under different circumstances. In this work, we propose the architecture of a software to generalize these benchmarks independently of the algorithms, to be integrated in the open source data analysis software Orange3. This paper is partially supported by funding provided by the STIC AmSud program, Project 22STIC-01. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158887 2023-01-01T00:00:00Z Thanks to the internet of things (IoT) and cyber physical systems (CPS), we face an incremental growth of the available data, either on the internet or in private databases. This resulted in data mining techniques becoming an essential piece in the information retrieval process. Moreover, trends like the industry 4.0 encourages its usage to support data driven decisions, for instance. Formal Concept Analysis (FCA) is one of the most used techniques in the unsupervised data mining field due to its inherent ability to find patterns between concepts. As a consequence, many applications need the use of fast algorithms to perform the calculations to retrieve either the lattice or the association rules related with the data at their disposal. Due to this, scientists often rely on manually crafted benchmarks to compare how certain algorithms perform under different circumstances. In this work, we propose the architecture of a software to generalize these benchmarks independently of the algorithms, to be integrated in the open source data analysis software Orange3. http://sedici.unlp.edu.ar:80/handle/10915/158885 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture The tendency in industry, manufacturing, and agriculture nowadays goes towards adopting the Industry 4.0 practices. Additionally, Internet of Things (IoT) has seen a huge increase in its usage over the last decade, and companies are eager to profit from the advantages it has offers. Between these tendencies, the usage of data as a means to increase productivity, or similarly, to minimize loss in production is found. In those lines, Formal Concept Analysis (FCA) is a clusterization method whose output is based on patterns of concepts (sets of objects and attributes). Some extensions such as Relational Concept Analysis have arisen to tackle the use case in which there are relations between seemingly different objects, which is something FCA cannot do. However, the area of automatically using the conceptual data resulted from these methods is still immature in the sense of formalization and usage. In this Ph.D., the goal is to work in expanding the boundaries of knowledge regarding the existing algorithms, mainly looking for optimizations, and extending their current capabilities. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158885 2023-01-01T00:00:00Z The tendency in industry, manufacturing, and agriculture nowadays goes towards adopting the Industry 4.0 practices. Additionally, Internet of Things (IoT) has seen a huge increase in its usage over the last decade, and companies are eager to profit from the advantages it has offers. Between these tendencies, the usage of data as a means to increase productivity, or similarly, to minimize loss in production is found. In those lines, Formal Concept Analysis (FCA) is a clusterization method whose output is based on patterns of concepts (sets of objects and attributes). Some extensions such as Relational Concept Analysis have arisen to tackle the use case in which there are relations between seemingly different objects, which is something FCA cannot do. However, the area of automatically using the conceptual data resulted from these methods is still immature in the sense of formalization and usage. In this Ph.D., the goal is to work in expanding the boundaries of knowledge regarding the existing algorithms, mainly looking for optimizations, and extending their current capabilities. http://sedici.unlp.edu.ar:80/handle/10915/158884 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture Many citizen science projects that carry out survey tasks based on location require that the territory to be studied be fragmented into smaller areas with the objectives of, on the one hand, keeping a record of the level of coverage of the regions, and on the other hand, to present spatially bounded objectives to the volunteers of the project. In some cases the sampling areas are related to a terrain feature, such as when surveying the shores of rivers and lakes. Therefore, the afore-mentioned segmentation must respect the topographical shape of the geographical object to be studied (river or lake).In this work, this type of tessellation is defined as topographic tessellation (TT). Aiming at building the TT, indicating the distance it should have from the shore and the specific measurements of each smaller area is needed. This article presents a framework for the automatic generation of topographic tessellations, which are sets of disjoint and adjacent polygons that form a mosaic following the shape of a georeferenced geometry, and builds a new geographical layer. This tool is useful for spatial-task asignment decision-making. This paper is partially supported by funding provided by the STIC AmSud program, Project 22STIC-01. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158884 2023-01-01T00:00:00Z Many citizen science projects that carry out survey tasks based on location require that the territory to be studied be fragmented into smaller areas with the objectives of, on the one hand, keeping a record of the level of coverage of the regions, and on the other hand, to present spatially bounded objectives to the volunteers of the project. In some cases the sampling areas are related to a terrain feature, such as when surveying the shores of rivers and lakes. Therefore, the afore-mentioned segmentation must respect the topographical shape of the geographical object to be studied (river or lake).In this work, this type of tessellation is defined as topographic tessellation (TT). Aiming at building the TT, indicating the distance it should have from the shore and the specific measurements of each smaller area is needed. This article presents a framework for the automatic generation of topographic tessellations, which are sets of disjoint and adjacent polygons that form a mosaic following the shape of a georeferenced geometry, and builds a new geographical layer. This tool is useful for spatial-task asignment decision-making. http://sedici.unlp.edu.ar:80/handle/10915/158883 Objeto de conferencia Domain Glossary Alignment Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture Durante la etapa de especificación de requerimientos se hace uso de descripciones conceptuales del Universo del Dominio (UdD) a través de varias representaciones como los Glosarios. Las organizaciones tienen documentos que permiten a los ingenieros de requerimientos obtener una descripción de procesos y procedimientos que aportan al conocimiento del dominio. Por otro lado, organizaciones externas poseen también documentación que aporta al mismo dominio, pero no necesariamente utilizando los mismos términos o vocabulario. Es por ello, que es necesario una alineación de los vocabularios para poder compararlos y obtener una descripción más completa y consistente. Los glosarios son herramientas que se utilizan durante esta etapa y permiten la descripción del dominio. El objetivo de este trabajo doctoral es definir un proceso de alineación de glosarios del dominio representados a partir del Léxico Extendido del Lenguaje (LEL), integrando heurísticas y métodos semánticos, léxicos, con el fin de hallar similitudes, diferencias u omisiones. Se realiza una investigación documental de la literatura con respecto a las técnicas utilizadas para alinear dominios específicos y los utilizados para alcanzar la completitud en glosarios. Luego, se realizará la creación del método que contemple heurísticas e integre técnicas de similitud semánticas y léxicas. La evaluación del proceso se realizará mediante un experimento utilizando un caso de estudio. Y a través de un caso de estudio se validará el resultado del proceso con la alineación de LELs de dominios relacionados.; During the requirements specification stage, conceptual descriptions of the Domain Universe (UdD) are used through various representations such as Glossaries. Organizations have documents that allow requirements engineers to obtain a description of processes and procedures that contribute to domain knowledge. On the other hand, external organizations also have documentation that contributes to the same domain, but not necessarily using the same terms or vocabulary. For this reason, it is necessary to align the vocabularies in order to compare them and obtain a more complete and consistent description. Glossaries are tools used during this stage and allow the description of the domain. The objective of this doctoral work is to define a process of aligning domain glossaries represented from the Extended Language Lexicon (LEL), integrating heuristics and semantic, lexical methods, in order to find similarities, differences or omissions. A documentary research of the literature is carried out regarding the techniques used to align specific domains and those used to achieve completeness in glossaries. Then, the creation of the method that contemplates heuristics and integrates semantic and lexical similarity techniques will be carried out. The evaluation of the process will be carried out through an experiment using a case study. And through a case study, the result of the process will be validated with the alignment of LELs of related domains. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158883 2023-01-01T00:00:00Z Durante la etapa de especificación de requerimientos se hace uso de descripciones conceptuales del Universo del Dominio (UdD) a través de varias representaciones como los Glosarios. Las organizaciones tienen documentos que permiten a los ingenieros de requerimientos obtener una descripción de procesos y procedimientos que aportan al conocimiento del dominio. Por otro lado, organizaciones externas poseen también documentación que aporta al mismo dominio, pero no necesariamente utilizando los mismos términos o vocabulario. Es por ello, que es necesario una alineación de los vocabularios para poder compararlos y obtener una descripción más completa y consistente. Los glosarios son herramientas que se utilizan durante esta etapa y permiten la descripción del dominio. El objetivo de este trabajo doctoral es definir un proceso de alineación de glosarios del dominio representados a partir del Léxico Extendido del Lenguaje (LEL), integrando heurísticas y métodos semánticos, léxicos, con el fin de hallar similitudes, diferencias u omisiones. Se realiza una investigación documental de la literatura con respecto a las técnicas utilizadas para alinear dominios específicos y los utilizados para alcanzar la completitud en glosarios. Luego, se realizará la creación del método que contemple heurísticas e integre técnicas de similitud semánticas y léxicas. La evaluación del proceso se realizará mediante un experimento utilizando un caso de estudio. Y a través de un caso de estudio se validará el resultado del proceso con la alineación de LELs de dominios relacionados. During the requirements specification stage, conceptual descriptions of the Domain Universe (UdD) are used through various representations such as Glossaries. Organizations have documents that allow requirements engineers to obtain a description of processes and procedures that contribute to domain knowledge. On the other hand, external organizations also have documentation that contributes to the same domain, but not necessarily using the same terms or vocabulary. For this reason, it is necessary to align the vocabularies in order to compare them and obtain a more complete and consistent description. Glossaries are tools used during this stage and allow the description of the domain. The objective of this doctoral work is to define a process of aligning domain glossaries represented from the Extended Language Lexicon (LEL), integrating heuristics and semantic, lexical methods, in order to find similarities, differences or omissions. A documentary research of the literature is carried out regarding the techniques used to align specific domains and those used to achieve completeness in glossaries. Then, the creation of the method that contemplates heuristics and integrates semantic and lexical similarity techniques will be carried out. The evaluation of the process will be carried out through an experiment using a case study. And through a case study, the result of the process will be validated with the alignment of LELs of related domains. http://sedici.unlp.edu.ar:80/handle/10915/158882 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture This document explores and describes the state of the art of Reverse Engineering in the specification of Software Requirements for web applications using an LEL (Language Extended Lexicon). A review of the scientific literature on this topic was carried out with the aim of investigating how the application of Reverse Engineering in the specification of software requirements would improve their quality, with the support of the creation of a tool for web augmentation, that is, a web extension that allows creating a glossary of terms or LEL of web applications, this with the purpose of knowing their operation for maintenance and improvement purposes. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158882 2023-01-01T00:00:00Z This document explores and describes the state of the art of Reverse Engineering in the specification of Software Requirements for web applications using an LEL (Language Extended Lexicon). A review of the scientific literature on this topic was carried out with the aim of investigating how the application of Reverse Engineering in the specification of software requirements would improve their quality, with the support of the creation of a tool for web augmentation, that is, a web extension that allows creating a glossary of terms or LEL of web applications, this with the purpose of knowing their operation for maintenance and improvement purposes. http://sedici.unlp.edu.ar:80/handle/10915/158881 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture In today’s heavily cloud distributed-service period, access control systems are primary components to guarantee security and con- fidentiality of resource repositories. However, access control systems most widely used were deigned before this period of generalized service based infrastructure. This creates important difficulties in the maintenance of such systems. New approach in access control system, based on a formal and logical approach of security rules have been proposed that makes use of the semantic web technologies. In this paper we propose a survey of these semantic approaches together with a comparison of their respective strength depending on the considered use case. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158881 2023-01-01T00:00:00Z In today’s heavily cloud distributed-service period, access control systems are primary components to guarantee security and con- fidentiality of resource repositories. However, access control systems most widely used were deigned before this period of generalized service based infrastructure. This creates important difficulties in the maintenance of such systems. New approach in access control system, based on a formal and logical approach of security rules have been proposed that makes use of the semantic web technologies. In this paper we propose a survey of these semantic approaches together with a comparison of their respective strength depending on the considered use case. http://sedici.unlp.edu.ar:80/handle/10915/158879 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture The semantic web is having a main role in the development of many sectors of the industry, and is becoming necessary for being competitive in the market. The tourism in France is not an exception, and as part of their reorganization, the knowledge formalization modelling is required. This work is expected to improve the interoperability between the information represented on different knowledge formalization schema levels. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158879 2023-01-01T00:00:00Z The semantic web is having a main role in the development of many sectors of the industry, and is becoming necessary for being competitive in the market. The tourism in France is not an exception, and as part of their reorganization, the knowledge formalization modelling is required. This work is expected to improve the interoperability between the information represented on different knowledge formalization schema levels. http://sedici.unlp.edu.ar:80/handle/10915/158877 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture Is well known that the semantic web is having a tremendous impact on many aspects of the world and that it’s a wave that is far away from going down. Ontology and Knowledge graphs are two meth- ods of knowledge representation that are part of the basis of this wave, and both have their pros and cons. A big part of the agricultural devel- opment focuses on these models, mainly interested in the possibility of exploiting implicit knowledge. In this work, there is an analysis over the relation between a rigid knowledge representation model as OWL, and a simple and more flexible one like RDF. This is based on the attempt of transforming an OWL knowledge graph into an RDF knowledge graph, taking into account the interesting possibility of combining knowledge graphs that were created with different levels semantic expressiveness. The work also presents a case of study on the chess domain. This paper is partially supported by funding provided by the STIC AmSud program, Project 22STIC-01. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158877 2023-01-01T00:00:00Z Is well known that the semantic web is having a tremendous impact on many aspects of the world and that it’s a wave that is far away from going down. Ontology and Knowledge graphs are two meth- ods of knowledge representation that are part of the basis of this wave, and both have their pros and cons. A big part of the agricultural devel- opment focuses on these models, mainly interested in the possibility of exploiting implicit knowledge. In this work, there is an analysis over the relation between a rigid knowledge representation model as OWL, and a simple and more flexible one like RDF. This is based on the attempt of transforming an OWL knowledge graph into an RDF knowledge graph, taking into account the interesting possibility of combining knowledge graphs that were created with different levels semantic expressiveness. The work also presents a case of study on the chess domain. http://sedici.unlp.edu.ar:80/handle/10915/158788 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture Mass collaboration mediated by technology is now commonplace (Wikipedia, Quora, TripAdvisor). Online mass collaboration is also present in science in the form of Citizen Science. These collaboration models, which have a large community of contributors coordinated to pursue a common goal, are known as Collaborative systems. Gamification is a strategy to convene participants to CS projects. However, it cannot be generalized because of the different users’ profiles, and so it must be tailored to the users and playing contexts. This Ph.D. project approaches the problem of adapting gamification to the user’s profile, project objectives, and global status. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158788 2023-01-01T00:00:00Z Mass collaboration mediated by technology is now commonplace (Wikipedia, Quora, TripAdvisor). Online mass collaboration is also present in science in the form of Citizen Science. These collaboration models, which have a large community of contributors coordinated to pursue a common goal, are known as Collaborative systems. Gamification is a strategy to convene participants to CS projects. However, it cannot be generalized because of the different users’ profiles, and so it must be tailored to the users and playing contexts. This Ph.D. project approaches the problem of adapting gamification to the user’s profile, project objectives, and global status. http://sedici.unlp.edu.ar:80/handle/10915/158787 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture Collaborative location-based collecting systems (CLCS) are a particular case of collaborative systems where a community of users collaboratively collect geo-referenced data. Each CLCS sets its territory coverage objectives, commonly defined as to guarantee that all the affected territory is surveyed with a particular coverage criterium. This paper presents a three-step pipeline to recommend the subareas that require observations dynamically. The first step generates a disjoint and adjacent set of areas -a mesh- covering the sampling territory. The second step sets a priority and coverage objective for each area. Finally, the third step considers the project’s objectives and the area coverage situation to recommend the areas that need surveys. The output of this last step is an input for a user-task distribution process where the user’s profile is taken into account. Moreover, an example of meshing strategy and task generation is proposed. This paper is partially supported by funding provided by the STIC AmSud program, Project 22STIC-01. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158787 2023-01-01T00:00:00Z Collaborative location-based collecting systems (CLCS) are a particular case of collaborative systems where a community of users collaboratively collect geo-referenced data. Each CLCS sets its territory coverage objectives, commonly defined as to guarantee that all the affected territory is surveyed with a particular coverage criterium. This paper presents a three-step pipeline to recommend the subareas that require observations dynamically. The first step generates a disjoint and adjacent set of areas -a mesh- covering the sampling territory. The second step sets a priority and coverage objective for each area. Finally, the third step considers the project’s objectives and the area coverage situation to recommend the areas that need surveys. The output of this last step is an input for a user-task distribution process where the user’s profile is taken into account. Moreover, an example of meshing strategy and task generation is proposed. http://sedici.unlp.edu.ar:80/handle/10915/158786 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture Domain discovery is an essential activity in the early stages of software development, problems of understanding and communication are common in development teams, due to the excessive handling of information from different sources, generating great effort in: consensus, interpretation and transfer of useful information for the application. For this reason, it has been seen the need to merge artificial intelligence with requirements engineering processes that mimic human behavior, through the creation of a vocabulary for the application, improving the Extended Lexicon of Language LEL, using Natural Language Processing, ontologies for semantic reasoning and heuristic rules to improve completeness. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158786 2023-01-01T00:00:00Z Domain discovery is an essential activity in the early stages of software development, problems of understanding and communication are common in development teams, due to the excessive handling of information from different sources, generating great effort in: consensus, interpretation and transfer of useful information for the application. For this reason, it has been seen the need to merge artificial intelligence with requirements engineering processes that mimic human behavior, through the creation of a vocabulary for the application, improving the Extended Lexicon of Language LEL, using Natural Language Processing, ontologies for semantic reasoning and heuristic rules to improve completeness. http://sedici.unlp.edu.ar:80/handle/10915/158785 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture La característica que hace a una organización inteligente es la capacidad de poder “Medir” sus procesos. Una organización inteligente es aquella flexible, de alta conectividad interna y externa, capaz de medir rápidamente posibilidades, de adaptarse a un entorno dinámico y desarrollar iniciativas frente a los nuevos estímulos que proceden de los escenarios cambiantes de la realidad sosteniendo la direccionalidad estratégica. El análisis cualitativo de los procesos es útil para obtener información sistemática sobre el procesos a través de un abanico de principios, técnicas y herramientas para identificar y documentar problemas en un proceso desde múltiples perspectivas y analizar profundamente las causas de estos problemas. Sin embargo para proporcionar una base sólida para la toma de decisiones es necesario analizar cuantitativamente los procesos de negocio, en términos de medidas de rendimiento del proceso, como el tiempo de ciclo, los tiempos de espera, costo entre otras, haciendo foco especialmente en el análisis de flujo y simulación. Las medidas de rendimiento vinculado con los factores críticos de éxito (FCE) nos proporcionan una visión clara y sólida para la toma de decisiones conforme a las estrategias de negocios, indicando el camino hacia el que deben enfocar los esfuerzos individuales y colectivos de una organización. El objetivo de este trabajo es identificar la necesidad insoslayable de vincular la determinación de las medidas de rendimiento con los Factores Críticos de Éxito con el fin de mejorar significativamente la toma de decisiones para tal propósito se muestra el trabajo de campo en el ámbito de la gestión estatal provincia realizado en el marco de la Tesis de Maestría de Ingeniería de Software. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158785 2023-01-01T00:00:00Z La característica que hace a una organización inteligente es la capacidad de poder “Medir” sus procesos. Una organización inteligente es aquella flexible, de alta conectividad interna y externa, capaz de medir rápidamente posibilidades, de adaptarse a un entorno dinámico y desarrollar iniciativas frente a los nuevos estímulos que proceden de los escenarios cambiantes de la realidad sosteniendo la direccionalidad estratégica. El análisis cualitativo de los procesos es útil para obtener información sistemática sobre el procesos a través de un abanico de principios, técnicas y herramientas para identificar y documentar problemas en un proceso desde múltiples perspectivas y analizar profundamente las causas de estos problemas. Sin embargo para proporcionar una base sólida para la toma de decisiones es necesario analizar cuantitativamente los procesos de negocio, en términos de medidas de rendimiento del proceso, como el tiempo de ciclo, los tiempos de espera, costo entre otras, haciendo foco especialmente en el análisis de flujo y simulación. Las medidas de rendimiento vinculado con los factores críticos de éxito (FCE) nos proporcionan una visión clara y sólida para la toma de decisiones conforme a las estrategias de negocios, indicando el camino hacia el que deben enfocar los esfuerzos individuales y colectivos de una organización. El objetivo de este trabajo es identificar la necesidad insoslayable de vincular la determinación de las medidas de rendimiento con los Factores Críticos de Éxito con el fin de mejorar significativamente la toma de decisiones para tal propósito se muestra el trabajo de campo en el ámbito de la gestión estatal provincia realizado en el marco de la Tesis de Maestría de Ingeniería de Software. http://sedici.unlp.edu.ar:80/handle/10915/158784 Objeto de conferencia Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (La Plata, 30 de junio al 1 de julio de 2022); https://sedici.unlp.edu.ar/handle/10915/158339; Decisioning 2022. Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture Thousands of deaths a year are attributed to driver distractions while driving. The automotive industry has worked for decades maturing development guidelines and complex evaluation scenarios for the acceptance of infotainment centers as an integral part of the vehicle. The massification of smart wearable devices with a gigantic ecosystem of mobile applications not designed for the particularities of the automotive environment, easily bypasses the precautions of safe driving schemes. There is then, a niche of developers without the formal knowledge and economic support to adequately enter the automotive applications development. Cost-benefit methods and tools accessible in the context of software engineering are proposed to support the development of in-vehicle information systems in accordance with the requirements of current regulations and standards. Sun, 01 Jan 2023 00:00:00 GMT http://sedici.unlp.edu.ar:80/handle/10915/158784 2023-01-01T00:00:00Z Thousands of deaths a year are attributed to driver distractions while driving. The automotive industry has worked for decades maturing development guidelines and complex evaluation scenarios for the acceptance of infotainment centers as an integral part of the vehicle. The massification of smart wearable devices with a gigantic ecosystem of mobile applications not designed for the particularities of the automotive environment, easily bypasses the precautions of safe driving schemes. There is then, a niche of developers without the formal knowledge and economic support to adequately enter the automotive applications development. Cost-benefit methods and tools accessible in the context of software engineering are proposed to support the development of in-vehicle information systems in accordance with the requirements of current regulations and standards.