Soft evaluation of Boolean search queries in information retrieval systems
Information Technology Research Development Applications
Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Storage and retrieval of structured documents
Information Processing and Management: an International Journal
Lexical ambiguity and information retrieval
ACM Transactions on Information Systems (TOIS)
From structured documents to novel query facilities
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
An extended fuzzy linguistic approach to generalize Boolean information retrieval
Information Sciences—Applications: An International Journal
Natural language information retrieval: progress report
Information Processing and Management: an International Journal - The sixth text REtrieval conference (TREC-6)
Information Processing and Management: an International Journal - The sixth text REtrieval conference (TREC-6)
Structured storage and retrieval of SGML documents using Grove
Information Processing and Management: an International Journal
Extended Boolean information retrieval
Communications of the ACM
Natural Language Information Processing: A Computer Grammmar of English and Its Applications
Natural Language Information Processing: A Computer Grammmar of English and Its Applications
Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Object Exchange Across Heterogeneous Information Sources
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Journal of the American Society for Information Science and Technology
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In this paper we present a fuzzy model for representing WEB structured documents in an Information Retrieval System and a flexible query language for expressing soft selection conditions. The documents' content is organized into thematic (topical) sections where the index terms play a distinct role. The proposed document representation is adaptive to the user, who can indicate the preferred sections of documents, i.e. those which they estimate to bear the most interesting information, and can linguistically quantify the number of sections which determine the global potential interest of the documents.