Explicit query interpretation and diversification for context-driven concept search across ontologies

Chetana Gavankar, Yuan-Fang Li, Ganesh Ramakrishnan

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

    5 Citations (Scopus)


    Finding relevant concepts from a corpus of ontologies is useful in many scenarios, such as document classification, web page annotation, and automatic ontology population. Many millions of concepts are contained in a large number of ontologies across diverse domains. A SPARQL-based query demands the knowledge of the structure of ontologies and the query language, whereas user-friendlier and, simpler keyword-based approaches suffer from false positives. This is because concept descriptions in ontologies may be ambiguous and may overlap. In this paper, we propose a keyword-based concept search framework, which (1) exploits the structure and semantics in ontologies, by constructing contexts for each concept; (2) generates the interpretations of a query; and (3) balances the relevance and diversity of search results. A comprehensive evaluation against the domain-specific BioPortal and the general-purpose Falcons on widely-used performance metrics demonstrates that our system outperforms both.

    Original languageEnglish
    Title of host publicationThe Semantic Web - ISWC 2016
    Subtitle of host publication15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I
    EditorsPaul Groth, Elena Simperl, Alasdair Gray, Marta Sabou, Markus Krötzsch, Freddy Lecue, Fabian Flöck, Yolanda Gil
    Place of PublicationCham Switzerland
    Number of pages18
    ISBN (Electronic)9783319465234
    ISBN (Print)9783319465227
    Publication statusPublished - 2016
    EventInternational Semantic Web Conference 2016 - Kobe, Japan
    Duration: 17 Oct 201621 Oct 2016
    Conference number: 15th
    https://link.springer.com/book/10.1007/978-3-319-46523-4 (Conference Proceedings - Part I)
    https://link.springer.com/book/10.1007/978-3-319-46547-0 (Conference Proceedings - Part II)

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    ConferenceInternational Semantic Web Conference 2016
    Abbreviated titleISWC 2016
    Internet address


    • Ontology concept search
    • Query interpretation
    • Diversification

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