Advanced feedback methods in information retrieval
Journal of the American Society for Information Science
Semantic Road Maps for Literature Searchers
Journal of the ACM (JACM)
Computer Evaluation of Indexing and Text Processing
Journal of the ACM (JACM)
Probabilistic models of indexing and searching
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Special issue on knowledge representation
ACM SIGART Bulletin
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Topic identification in discourse
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Mining periodic patterns in spatio-temporal sequences at different time granularities
Intelligent Data Analysis
Using Euler Diagrams in Traditional Library Environments
Electronic Notes in Theoretical Computer Science (ENTCS)
Synthesizing high utility suggestions for rare web search queries
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Using abductive inference and dynamic indexing to retrieve multimedia SGML documents
MIRO'95 Proceedings of the Final conference on Multimedia Information Retrieval
| Hi-index | 0.00 |
It has been recognized that single words extracted from natural language texts are not always useful for the representation of information content. Associated or related terms. and comples content identifiers derived from thesauruses and knowledge bases, or constructed by automatic word grouping techniques, have therefore been proposed for text identification purposes.The area of associative content analysis and information retrievl is reviewed in this study. The available experimental evidence shows that none of the existing or proposed methodologies are guaranteed to improve retrieval performance in a replicable manner for document collections in different subject areas. The associative techniques are most valuable for restricted environments covering narrow subject areas, or in iterative search situations where user inputs are available to refine previously available query formulations and search output.