Assessment for ontology-supported deep web search
Document Type
Conference Proceeding
Publication Date
12-1-2008
Abstract
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. © 2008 IEEE.
Identifier
63749104621 (Scopus)
ISBN
[9780769533407]
Publication Title
Proceedings 10th IEEE Joint Conference on E Commerce Technology and the 5th Enterprise Computing E Commerce and E Services CEC 2008 and Eee 2008
External Full Text Location
https://doi.org/10.1109/CECandEEE.2008.117
First Page
382
Last Page
388
Recommended Citation
An, Yoo Jung; Chun, Soon Ae; Huang, Kuo Chuan; and Geller, James, "Assessment for ontology-supported deep web search" (2008). Faculty Publications. 12488.
https://digitalcommons.njit.edu/fac_pubs/12488