Modern Information Retrieval
The DBLP Computer Science Bibliography: Evolution, Research Issues, Perspectives
SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval
Web Intelligence
Demonstrating the semantic growbag: automatically creating topic facets for faceteddblp
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
SwetoDblp ontology of Computer Science publications
Web Semantics: Science, Services and Agents on the World Wide Web
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Output-sensitive autocompletion search
Information Retrieval
As time goes by: integrated visualization and analysis of dynamic networks
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Web Information Retrieval Support Systems: The Future of Web Search
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Information-Seeking Support Systems
Computer
User interests: definition, vocabulary, and utilization in unifying search and reasoning
AMT'10 Proceedings of the 6th international conference on Active media technology
Social relation based search refinement: let your friends help you!
AMT'10 Proceedings of the 6th international conference on Active media technology
Research interests: their dynamics, structures and applications in unifying search and reasoning
Journal of Intelligent Information Systems
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A Search Support Engine (SSE) is implemented based on the basic principles of Information Retrieval Support Systems (IRSS) and Information Seeking Support Systems (ISSS). An SSE aims at meeting the diversity needs from different users, providing various supporting functionalities, tools, etc. for users to perform various tasks beyond the traditional search and browsing provided by current search engines. As an illustrative example, we developed a DBLP search support engine (DBLP-SSE), and we discuss some concrete supporting functionalities, namely, search refinement support, domain analysis support, etc. Each of the functionality focus on a unique perspective supporting users finding useful information and knowledge from the DBLP dataset. The search support engine can be considered as a step towards Knowledge Retrieval (KR) and Web Intelligence (WI).