Skip to the content

An architecture to support web‐based information extraction using domain ontologies

Sugumaran, Vijay and Meziane, F 2009, An architecture to support web‐based information extraction using domain ontologies , in: 8th workshop on EBusiness (WEB2009), , 15 December 2009, Phoenix, Arizona, USA..

[img] PDF
Restricted to Repository staff only

Download (270kB)

    Abstract

    The web is the world’s most valuable information resource. However, a wide gap has emerged between the information available for software applications vis-à-vis human consumption. In response to this problem, new research initiatives have focused on extracting information available on the web with machine-processable semantics. Ontologies play a large role in information extraction, particularly in the context of semantic web, and applications should be able to find appropriate ontologies on the fly. However, existing tools do not adequately support information extraction and ontology selection. This research-in-progress paper presents the architecture for an information extraction system which relies on domain ontologies and lexical resources. We also provide an approach for easy identification of appropriate ontologies for a particular task.

    Item Type: Conference or Workshop Item (Paper)
    Uncontrolled Keywords: Information Extraction, Semantic Web, Ontology, Ontology Selection
    Themes: Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science > QA076 Computer software
    Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Science & Technology
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
    Journal or Publication Title: Proceedings of the 8th workshop on EBusiness (WEB2009),
    Refereed: Yes
    Depositing User: Prof Farid Meziane
    Date Deposited: 15 Mar 2010 10:31
    Last Modified: 20 Aug 2013 17:04
    URI: http://usir.salford.ac.uk/id/eprint/3296

    Actions (login required)

    Edit record (repository staff only)

    No Altmetrics available

    Downloads per month over past year

    View more statistics