Medical Information Retrieval Enhanced with User's Query Expanded with Tag-Neighbors

Frederico Durao, Karunakar Reddy Bayyapu, Guandong Xu, Peter Dolog, Ricardo Lage

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    Abstract

    Under-specified queries often lead to undesirable search results that do not contain the information needed. This problem gets worse when it comes to medical information, a natural human demand everywhere. Existing search engines on the Web often are unable to handle medical search well because they do not consider its special requirements. Often a medical information searcher is uncertain about his exact questions and unfamiliar with medical terminology. To overcome the limitations of under-specified queries, we utilize tags to enhance information retrieval capabilities by expanding users’ original queries with context-relevant information. We compute a set of significant tag neighbor candidates based on the neighbor frequency and weight, and utilize the qualified tag neighbors to expand an entry query. The proposed approach is evaluated by using MedWorm medical article collection and results show considerable precision improvements over state-of-the-art approaches.
    Original languageEnglish
    Title of host publicationHandbook of Medical and Healthcare Technologies
    VolumePart I
    PublisherSpringer
    Publication date2013
    Pages17-40
    Chapter2
    ISBN (Print)978-1-4614-8494-3
    ISBN (Electronic)978-1-4614-8495-0
    DOIs
    Publication statusPublished - 2013

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