Data structures and network algorithms
Data structures and network algorithms
Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Wrapper induction: efficiency and expressiveness
Artificial Intelligence - Special issue on Intelligent internet systems
A flexible learning system for wrapping tables and lists in HTML documents
Proceedings of the 11th international conference on World Wide Web
Modern Information Retrieval
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Efficiently mining frequent trees in a forest
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Partitioning of Web graphs by community topology
WWW '05 Proceedings of the 14th international conference on World Wide Web
Interactive web-wrapper construction for extracting relational information from web documents
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Empirical study on usefulness of algorithm SACwRApper for reputation extraction from the WWW
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
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We introduce methods for two specific-purpose Web searches. One is a search for Web communities related to given keywords, and the other is a search for texts having a certain relation to given keywords. Our methods are based on both structure and contents of WWW. Our method of Web community search uses global structure of WWW to discover communities, and uses content information to label found communities, where global structure means Web graph composed of Web pages and hyperlinks between them. On the other hand, our method of related text search uses local structure of WWW to extract candidate texts, and uses content information to filter out wrongly extracted ones, where local structure means DOM-tree structure of each page. We report the latest results on these Web search methods.