ALIWEB—Archie-like indexing in the WEB
Selected papers of the first conference on World-Wide Web
Conceptual analysis of resource meta-information
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
HyPursuit: a hierarchical network search engine that exploits content-link hypertext clustering
Proceedings of the the seventh ACM conference on Hypertext
The quest for correct information on the Web: hyper search engines
Selected papers from the sixth international conference on World Wide Web
WebQuery: searching and visualizing the Web through connectivity
Selected papers from the sixth international conference on World Wide Web
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Search and Ranking Algorithms for Locating Resources on the World Wide Web
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
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This paper introduces a retrieval method based on conceptual graph. A hyperlink information is essential to construct conceptual graph. The information is very useful as it provides summary and further linkage to construct conceptual graph that has been provided by human. It also has a property which shows review, relation, hierarchy, generality, and visibility. Using this property, we extracted the keywords of web documents and made up of the conceptual graph among the keywords sampled from web pages. This paper extracts the keywords of web pages using anchor text one out of hyperlink information and makes hyperlink of web pages abstract as the link relation between keywords of each web page. I suggest this useful retrieval method providing querying word extension or domain knowledge by conceptual graph of keywords.