Information navigation on the web by clustering and summarizing query results
Information Processing and Management: an International Journal
Classification of Web Documents Using a Graph Model
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
A Concept-Driven Algorithm for Clustering Search Results
IEEE Intelligent Systems
Graph-theoretic techniques for web content mining
Graph-theoretic techniques for web content mining
A language for manipulating clustered web documents results
Proceedings of the 17th ACM conference on Information and knowledge management
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
Multi-document summarization by sentence extraction
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization
Graph-based keyword extraction for single-document summarization
MMIES '08 Proceedings of the Workshop on Multi-source Multilingual Information Extraction and Summarization
How are we searching the World Wide Web? A comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Fast categorization of web documents represented by graphs
WebKDD'06 Proceedings of the 8th Knowledge discovery on the web international conference on Advances in web mining and web usage analysis
Information Processing and Management: an International Journal
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In this paper, we propose an approach based on the use of soft aggregation operators and multi-granular graphs for discovering and analyzing the results of Web searches, organized into granules of distinct resolution. This practice enables user-driven explorations of the topics retrieved in a search process on the Internet, being based on the graphical representation of both the information granules, and their discovered relationships. We further present the application of both the soft operators and multi-granular graphs within the meta-search system Matrioshka, and discuss their semantics and usefulness.