Context-driven concept search across web ontologies using keyword queries

Chetana Gavankar, Yuan-Fang Li, Ganesh Ramakrishnan

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

    3 Citations (Scopus)


    Concepts in ontologies can be used in many scenarios, including annotation of online resources, automatic ontology population, and document classification to improve web search results. Col-lectively, tens of millions of concepts have been defined in a large number of ontologies that cover many overlapping do-mains. The scale, duplication and ambiguity makes concept search a challenging problem. We present a novel concept search approach that exploits structures present in ontologies and con-structs contexts to effectively filter the noise in concept search results. The three key components of our approach are (1) a context for each concept extracted from relevant properties and axioms, (2) query interpretation based on the extracted context and (3) result ranking using learning to rank algorithms. We evaluate our approach on a large dataset from BioPortal. Our comprehensive evaluation is performed on 2,062,080 concepts and more than 2,000 queries, using two widely-employed perfor-mance metrics: normalized discounted cumulative gain (NDCG) and mean reciprocal rank (MRR). Our approach outperforms BioPortal significantly for multitoken queries that make up a large percentage of total queries.
    Original languageEnglish
    Title of host publicationProceedings of the 8th International Conference on Knowledge Capture (K-CAP 2015)
    Subtitle of host publicationPalisades, NY, USA -- October 07 - 10, 2015
    EditorsJose Manuel Gomez-Perez
    Place of PublicationNew York, NY
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages4
    ISBN (Print)9781450338493
    Publication statusPublished - 2015
    EventKnowledge Capture 2015 - Palisades, United States of America
    Duration: 7 Oct 201510 Oct 2015
    Conference number: 8th


    ConferenceKnowledge Capture 2015
    Abbreviated titleK-CAP 2015
    Country/TerritoryUnited States of America
    Internet address

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