IDEAS home Printed from https://ideas.repec.org/a/igg/jswis0/v6y2010i2p17-35.html
   My bibliography  Save this article

Semantic Search on Unstructured Data: Explicit Knowledge through Data Recycling

Author

Listed:
  • Alex Kohn

    (Roche Diagnostics GmbH, Germany)

  • François Bry

    (University of Munich, Germany)

  • Alexander Manta

    (Roche Diagnostics GmbH, Germany)

Abstract

Studies agree that searchers are often not satisfied with the performance of current enterprise search engines. As a consequence, more scientists worldwide are actively investigating new avenues for searching to improve retrieval performance. This paper contributes to YASA (Your Adaptive Search Agent), a fully implemented and thoroughly evaluated ontology-based information retrieval system for the enterprise. A salient particularity of YASA is that large parts of the ontology are automatically filled with facts by recycling and transforming existing data. YASA offers context-based personalization, faceted navigation, as well as semantic search capabilities. YASA has been deployed and evaluated in the pharmaceutical research department of Roche, Penzberg, and results show that already semantically simple ontologies suffice to considerably improve search performance.

Suggested Citation

  • Alex Kohn & François Bry & Alexander Manta, 2010. "Semantic Search on Unstructured Data: Explicit Knowledge through Data Recycling," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 6(2), pages 17-35, April.
    • Handle: RePEc:igg:jswis0:v:6:y:2010:i:2:p:17-35
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jswis.2010040102
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sergio Orenga-Roglá & Ricardo Chalmeta, 2019. "Methodology for the Implementation of Knowledge Management Systems 2.0," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(2), pages 195-213, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jswis0:v:6:y:2010:i:2:p:17-35. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.