A statistical similarity measure
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic search term weighting - some negative results
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Thesaurus based concept spaces
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
On extending the vector space model for Boolean query processing
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Generalized vector spaces model in information retrieval
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
Extended Boolean information retrieval
Communications of the ACM
SIGIR '79 Proceedings of the 2nd annual international ACM SIGIR conference on Information storage and retrieval: information implications into the eighties
Information Retrieval
An intelligent terminal for implementing relevance feedback on large operational retrieval systems
SIGIR '82 Proceedings of the 5th annual ACM conference on Research and development in information retrieval
A blueprint for automatic Boolean query processing
ACM SIGIR Forum
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
HYKIS—an information retrieval system based on a Hybrid Knowledge base
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Conceptual language models for domain-specific retrieval
Information Processing and Management: an International Journal
Learning Fuzzy Models of User Interests in a Semantic Information Retrieval System
Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium
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This paper describes some aspects of a project with the aim of developing a user-friendly interface to a classical Information Retrieval (IR) System in order to improve the effectiveness of retrieval. The character by character approach to IR has been abandoned in favor of an approach based on the meaning of both the queries and the texts containing the information to be sought. The concept space, locally derived from a thesaurus, is used to represent a query as well as documents retrieved in atomic concept units. Dependencies between the search terms are taken into account. The meanings of the query and the retrieved documents (results of Elementary Logical Conjuncts (ELCs)) are compared. The ranking method on the semantical level is used in connection with existing data of a classical IR system. The user enters queries without using complex Boolean expressions.