Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Ontology Learning and Its Application to Automated Terminology Translation
IEEE Intelligent Systems
Context-sensitive text mining and belief revision for intelligent information retrieval on the web
Web Intelligence and Agent Systems
Toward a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning
IEEE Transactions on Knowledge and Data Engineering
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Toward a Theory of Granular Computing for Human-Centered Information Processing
IEEE Transactions on Fuzzy Systems
Granular Computing for Text Mining: New Research Challenges and Opportunities
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium
Toward a semantic granularity model for domain-specific information retrieval
ACM Transactions on Information Systems (TOIS)
Granularity in natural language discourse
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Expert Systems with Applications: An International Journal
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This paper illustrates the design and development of a fuzzy-ontology based granular IR system to facilitate domain specific search. Based on the notion of information granulation, a novel computational model is developed to estimate the granularity of documents and rank these documents according to the information seekers' specific granularity requirements. The initial experiments confirm that our granular IR system outperforms a vector space based IR system for domain specific search. Our research work opens the door to the application of granular computing methodology to enhance domain specific search on the Internet.