Incremental SPARQL query processing

Ana I. Torre-Bastida*

*Corresponding author for this work

    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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