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<Paper uid="C02-1083">
  <Title>A Methodology for Terminology-based Knowledge Acquisition and Integration</Title>
  <Section position="6" start_page="85" end_page="85" type="concl">
    <SectionTitle>
Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we presented a methodology for KA and KI over large KSs. We described TIMS, an XML-based integrated KA aid system, in which we have integrated automatic term recognition, term clustering, tagged data management and ontology-based knowledge retrieval. TIMS allows users to search and combine information from various sources. An important source of information in the system is derived from terminological knowledge, which is provided automatically in the XML format.</Paragraph>
    <Paragraph position="1"> Tag-based retrieval is implemented through interval operations, which - in combination with hierarchical matching - prove to be powerful means for textual mining and knowledge acquisition.</Paragraph>
    <Paragraph position="2"> The system has been tested in the domain of molecular biology. The preliminary experiments show that the TIMS tag information management scheme is an efficient methodology to facilitate KA and IE in specialised fields.</Paragraph>
    <Paragraph position="3"> Important areas of future research will involve expanding the scalability of the system to real WWW knowledge acquisition tasks and experiments with fine-grained term classification.</Paragraph>
  </Section>
class="xml-element"></Paper>