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dc.date.accessioned 2021-03-05T14:01:56Z
dc.date.available 2021-03-05T14:01:56Z
dc.date.issued 2020
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/114199
dc.description.abstract Ontology-based Data Access (OBDA) is concerned with providing end-users and applications with a way to query legacy databases through a high-level ontology that models both the business logic and the underlying data sources, accessed by mappings that de ne how to express records of the database as ontological assertions. In this research, we are concerned with providing with tools for performing OBDA with relational and non-relational data sources. We developed an OBDA tool that is able to access H2 databases and CSV les allowing the user to explicitly formulate mappings, and populating an ontology that can be saved for later querying. In this paper, we present an extension of our previous work as a language for specifying the schema of the data in a spreadsheet data application. This speci cation is then used to access the contents of a set of Excel books and express them as a relational database with the ultimate goal of materializing its data as an OWL/RDF ontology. We characterize the syntax and semantics of the language, present a prototypical implementation and report on the performance tests showing that our implementation can handle a workload of Excel tables of the order of ten thousand records. en
dc.format.extent 546-555 es
dc.language en es
dc.subject Ontology-based data access es
dc.subject Ontologies es
dc.subject Relational databases es
dc.subject Spreadsheets es
dc.title A Language for the Specification of the Schema of Spreadsheets for the Materialization of Ontologies en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-987-4417-90-9 es
sedici.creator.person Gómez, Sergio Alejandro es
sedici.creator.person Fillottrani, Pablo Rubén es
sedici.description.note Workshop: WISS – Innovación en Sistemas de Software es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2020-10
sedici.relation.event XXVI Congreso Argentino de Ciencias de la Computación (CACIC) (Modalidad virtual, 5 al 9 de octubre de 2020) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/113243 es
sedici.relation.bookTitle XXVI Congreso Argentino de Ciencias de la Computación - CACIC 2020. Libro de actas es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)