Assessment for Ontology-Supported Deep Web Search
Yoo Jung An, Soon Ae Chun, Kuo-Chuan Huang, James Geller · Proceedings - International Workshop on Advance Issues of E-Commerce and Web-Based Information Systems/Proceedings · 2008
Ontologies could play an important role in assisting users in their search for Web pages. This paper considers the problem of constructing domain ontologies that support users in their Web search efforts and that increase the number of relevant Web pages that are returned. To achieve this goal, this paper suggests combining Deep Web information, which consists of dynamically generated Web pages, which cannot be indexed by the existing automated Web crawlers, with ontologies. Improvements when finding deep Web sites returned by a search engine are assessed based on the framework formulated in this paper. Experimental results suggest that the proposed methods assist users in finding more relevant Web sites.