Incremental SPARQL query processing

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The 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.

Original languageEnglish
Title of host publicationThe Semantic Web
Subtitle of host publicationSemantics and Big Data - 10th International Conference, ESWC 2013, Proceedings
PublisherSpringer Verlag
Pages712-716
Number of pages5
ISBN (Print)9783642382871
DOIs
Publication statusPublished - 2013
Event10th International Conference on The Semantic Web: Semantics and Big Data, ESWC 2013 - Montpellier, France
Duration: 26 May 201330 May 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7882 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on The Semantic Web: Semantics and Big Data, ESWC 2013
Country/TerritoryFrance
CityMontpellier
Period26/05/1330/05/13

Keywords

  • Linked Open Data Sources
  • ontology mapping
  • query reformulation
  • query rewriting
  • Semantic Web

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