Skip to the content

An intelligent agent for content-based indexing and retrieval of documents

Mimouni, NK, Marir, F and Meziane, F 2000, An intelligent agent for content-based indexing and retrieval of documents , in: Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies (KES 2000), 30 August - 1 September 2000, Brighton UK.

[img] PDF
Download (357kB)

    Abstract

    The amount of information available on the Internet is currently growing at an incredible rate. However, the lack of efficient indexing is still a major barrier to effective information retrieval on the Web. This paper presents the design of an intelligent agent for content-based indexing and retrieval of relevant documents from a large collection such as the Internet. The agent aims at improving the quality of retrieval by capturing the semantics of the documents. It performs the conventional keyword based indexing and introduces a thematic relationship between parts of text using natural language understanding and a linguistics theory called rhetorical structure theory. The agent described in this paper will be implemented and compared against several indexing systems. It is expected to produce a satisfactory improvement over existing techniques.

    Item Type: Conference or Workshop Item (Paper)
    Additional Information: ISBN: 9780780364004 DOI: 10.1109/KES.2000.884175 Volume 2 of conference proceedings
    Uncontrolled Keywords: internet, content-based retrieval, indexing, information resources, linguistics, natural languages, software agents
    Themes: Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science
    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
    Refereed: Yes
    Related URLs:
    Depositing User: Prof Farid Meziane
    Date Deposited: 02 Mar 2009 15:25
    Last Modified: 20 Aug 2013 16:56
    URI: http://usir.salford.ac.uk/id/eprint/1808

    Actions (login required)

    Edit record (repository staff only)

    Downloads per month over past year

    View more statistics