SkylineSearch: Semantic ranking and result visualization for PubMed

Julia Stoyanovich, Mayur Lodha, William Mee, Kenneth A. Ross

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    Life sciences researchers perform scientific literature search as part of their daily activities. Many such searches are executed against PubMed, a central repository of life sciences articles, and often return hundreds, or even thousands, of results, pointing to the need for data exploration tools. In this demonstration we present SkylineSearch, a semantic ranking and result visualization system designed specifically for PubMed, and available to the scientific community at Our system leverages semantic annotations of articles with terms from the MeSH controlled vocabulary, and presents results as a two-dimensional skyline, plotting relevance against publication date. We demonstrate that SkylineSearch supports a richer data exploration experience than does the search functionality of PubMed, allowing users to find relevant references more easily. We also show that SkylineSearch executes queries and presents results in interactive time.

    Original languageEnglish (US)
    Title of host publicationProceedings of SIGMOD 2011 and PODS 2011
    PublisherAssociation for Computing Machinery
    Number of pages3
    ISBN (Print)9781450306614
    StatePublished - 2011
    Event2011 ACM SIGMOD and 30th PODS 2011 Conference - Athens, Greece
    Duration: Jun 12 2011Jun 16 2011

    Publication series

    NameProceedings of the ACM SIGMOD International Conference on Management of Data
    ISSN (Print)0730-8078


    Other2011 ACM SIGMOD and 30th PODS 2011 Conference


    • data exploration
    • skyline

    ASJC Scopus subject areas

    • Software
    • Information Systems


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