Semantically processing parallel colour descriptions

Shenghui Wang*, Jeff Z. Pan

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


    Information integration and retrieval are useful tasks in many information systems. In these systems, it is far from an easy task to directly integrate information from natural language (NL) sources, because precisely capturing NL semantics is not a trivial issue in the first place. In this paper, we choose the botanical domain to investigate this issue. While most existing systems in this domain support only keyword-based search, this paper introduces an ontology-based approach to process parallel colour descriptions from botanical documents. Based on a semantic model, it takes advantage of ontologies so as to represent the semantics of colour descriptions precisely, to integrate parallel descriptions according to their semantic distances, and to answer colour-related species identification queries. To evaluate this approach, we implement a colour reasoner based on the FaCT-DG Description Logic reasoner, and present some results of our experiments on integrating parallel descriptions and species identification queries. From this highly specialised domain, we learn a set of more general methodological rules.

    Original languageEnglish
    Title of host publicationJournal on Data Semantics X
    EditorsStefano Spaccapietra
    Number of pages25
    Publication statusPublished - 27 Aug 2008

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4900 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Dive into the research topics of 'Semantically processing parallel colour descriptions'. Together they form a unique fingerprint.

    Cite this