Term and citation retrieval: a field study
Information Processing and Management: an International Journal
Communications of the ACM
Going digital: a look at assumptions underlying digital libraries
Communications of the ACM
Self-organizing maps
Visualizing a discipline: an author co-citation analysis of information science, 1972–1995
Journal of the American Society for Information Science
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Distributional clustering of words for text classification
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
On the merits of building categorization systems by supervised clustering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Websom for Textual Data Mining
Artificial Intelligence Review - Special issue on data mining on the Internet
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Using Social Networks to Organize Researcher Community
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Learning and inferencing in user ontology for personalized Semantic Web search
Information Sciences: an International Journal
OntoSearch: a full-text search engine for the semantic web
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
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Many scholarly publications are currently available on the Internet and in digital libraries. However, existing search engines have proved mostly ineffective in searching these publications. Using scholarly literature published on the Internet as a case study, the authors developed a publication retrieval system that consists of a citation indexing agent and an intelligent retrieval agent. The citation indexing agent searches the Internet for relevant scholarly publications and generates a citation database accordingly. The intelligent retrieval agent then helps retrieve the scholarly publications. The retrieval technique is based on Kohonen's self-organizing map. The proposed technique comprises a training process of mining the citation database to generate cluster information and a retrieval process for retrieving and ranking the publications according to user input queries. This technique offers fast retrieval speeds and high retrieval precision in terms of document relevance.