Incremental SPARQL query processing

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dc.contributor.authorTorre-Bastida, Ana I.
dc.contributor.institutionHPA
dc.date.accessioned2024-07-24T11:45:40Z
dc.date.available2024-07-24T11:45:40Z
dc.date.issued2013
dc.description.abstractThe number of linked data sources available on the Web is growing at a rapid rate. Moreover, users are showing an interest for any framework that allows them to obtain answers, for a formulated query, accessing heterogeneous data sources without the need of explicitly specifying the sources to answer the query. Our proposal focus on that interest and its goal is to build a system capable of answering to user queries in an incremental way. Each time a different data source is accessed the previous answer is eventually enriched. Brokering across the data sources is enabled by using source mapping relationships. User queries are rewritten using those mappings in order to obtain translations of the original query across data sources. Semantically equivalent translations are first looked for, but semantically approximated ones are generated if equivalence is not achieved. Well defined metrics are considered to estimate the information loss, if any.en
dc.description.statusPeer reviewed
dc.format.extent5
dc.identifier.citationTorre-Bastida , A I 2013 , Incremental SPARQL query processing . in The Semantic Web : Semantics and Big Data - 10th International Conference, ESWC 2013, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 7882 LNCS , Springer Verlag , pp. 712-716 , 10th International Conference on The Semantic Web: Semantics and Big Data, ESWC 2013 , Montpellier , France , 26/05/13 . https://doi.org/10.1007/978-3-642-38288-8_57
dc.identifier.citationconference
dc.identifier.doi10.1007/978-3-642-38288-8_57
dc.identifier.isbn9783642382871
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11556/1483
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84885006945&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.ispartofThe Semantic Web
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsLinked Open Data Sources
dc.subject.keywordsontology mapping
dc.subject.keywordsquery reformulation
dc.subject.keywordsquery rewriting
dc.subject.keywordsSemantic Web
dc.subject.keywordsTheoretical Computer Science
dc.subject.keywordsGeneral Computer Science
dc.titleIncremental SPARQL query processingen
dc.typeconference output
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