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Information Technology: New Generations, Third International Conference on (2010)
Las Vegas, Nevada, USA
Apr. 12, 2010 to Apr. 14, 2010
ISBN: 978-0-7695-3984-3
pp: 1285-1288
Providing ontologies for the automatic trend detection enhance the quality of trend predictions. However, in the case of dynamic and fuzzy expert knowledge like the knowledge used in trend detection, it is difficult to formalize knowledge unambiguously and in a static way. In this paper we report on our experiences in modeling and formalizing trend ontology for automatic knowledge-based trend detection by the example of market research, i.e. we describe the knowledge-based trend mining approach and requirements for trend ontology, discuss obstacles in modeling trend knowledge and outline three lightweight trend ontologies modeled.
information retrieval, knowledge modeling, ontology engineering, trend mining

O. Streibel and M. Mochol, "Trend Ontology for Knowledge-Based Trend Mining in Textual Information," Information Technology: New Generations, Third International Conference on(ITNG), Las Vegas, Nevada, USA, 2010, pp. 1285-1288.
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