Recall oriented search on the web using semantic annotations

Rianne Kaptein, Egon van den Broek, Gijs Koot, Mirjam A.A. Huis in 't Veld

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    Abstract

    Web search engines are optimized for early precision, which makes it difficult to perform recall oriented tasks with them. In this article, we propose several ways to leverage semantic annotations and, thereby, increase the efficiency of recall oriented search tasks, with a focus on forensic investigation. Semantic annotations, such as temporal annotations, named entities, and domain context, can be used to rerank, and cluster search result sets. In addition, domain context can be used to improve recall.
    Original languageUndefined
    Title of host publicationProceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13)
    EditorsP.N. Bennett, E. Gabrilovich, J. Kamps, J. Karlgren
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages45-48
    Number of pages4
    ISBN (Print)978-1-4503-2413-7
    DOIs
    Publication statusPublished - 28 Oct 2013

    Publication series

    Name
    PublisherACM

    Keywords

    • EWI-23910
    • HMI-SLT: Speech and Language Technology
    • Clustering
    • Information search and retrieval
    • IR-88335
    • Named Entity Recognition
    • Recall Oriented Search
    • METIS-300126
    • Domain Context

    Cite this

    Kaptein, R., van den Broek, E., Koot, G., & Huis in 't Veld, M. A. A. (2013). Recall oriented search on the web using semantic annotations. In P. N. Bennett, E. Gabrilovich, J. Kamps, & J. Karlgren (Eds.), Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13) (pp. 45-48). New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/2513204.2513219