Enriching Ontology for Deep Web Search-Reference-Cited by-同舟云学术

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Enriching Ontology for Deep Web Search

Published: Issue: Volume: Page:73-80
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

An Yoo Jung,Chun Soon Ae,Huang Kuo-chuan,Geller James

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-85654-2_9.pdf

Reference22 articles.

1. Singh, M.P.: Deep Web structure. IEEE Internet Computing 6(5), 4-5 (September 2002)

2. He, B., Patel, M., Zhang, Z., Chang, K.C.-C.: Accessing the Deep Web: A Survey. Communications of the ACM (CACM) 50(5), 94–101 (2007)

3. Ntoulas, A., Zerfos, P., Cho, J.: Downloading Textual Hidden Web Content Through Keyword Queries. In: Proc. of the ACM/IEEE Joint Conf. on Digital Libraries (JCDL), pp. 100–109 (2005)

4. Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies 43(5), 907–928 (1995)

5. Davulcu, H., Vadrevu, S., Nagarajan, S., Ramakrishnan, I.V.: OntoMiner: bootstrapping and populating ontologies from domain-specific Web sites. IEEE Intelligent Systems 18(5), 24–33 (2003)

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1. Tax Knowledge Adventure;Proceedings of the 17th International Digital Government Research Conference on Digital Government Research;2016-06-08

2. A prediction model for web search hit counts using word frequencies;Journal of Information Science;2011-07-29

3. Enhancing the Interface for Ontology-Supported Homonym Search;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2011

4. Improving Web Search Results for Homonyms by Suggesting Completions from an Ontology;Current Trends in Web Engineering;2010

5. Information Search Model Based on Ontology and Context Aware Technologies;Communications in Computer and Information Science;2010

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