Recent Developments in the Theory of Information Retrieval. Stockholm Papers in Library and Information Science.
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ERIC Institute of Education Sciences
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| Format: | Recurso educativo Open Access |
| Language: | en |
| Published: |
1982
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| _version_ | 1867181794794668032 |
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| author | Bookstein, Abraham |
| author_facet | Bookstein, Abraham Bookstein, Abraham |
| collection | Education Resources Information Center |
| contents | Recent Developments in the Theory of Information Retrieval. Stockholm Papers in Library and Information Science. Bookstein, Abraham Check Lists Information Retrieval Online Systems Probability Relevance (Information Retrieval) Search Strategies Recently considerable attention has been given in the online information retrieval literature to techniques for producing a weighted output of documents in response to a request. One approach tries to maintain the form of and relationships among requests as they appear in current Boolean logic-based systems, while extending it to permit a weighted output. It is based on the mathematics of fuzzy-set theory, which assigns each potential member of a set a degree of membership between zero and one with intermediate values denoting partial membership in the set. Another approach is based on the mathematics of probability. It represents requests by sets of terms, and, by means of feedback information, assigns a weight to each term. Documents are ordered by the sum of weights of the terms in the request that match those in the documents. This paper provides an overview of both approaches and their advantages and disadvantages. It also outlines a basic theory of information retrieval, discusses the characteristics and problems of using Boolean logic in information retrieval, and lists areas for continuing research. An appendix describing mathematical constraints on fuzzy-complements and a 21-item bibliography conclude the paper. (Author/ESR) |
| format | Recurso educativo Open Access |
| id | eric_ED232691 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 1982 |
| record_format | eric |
| spellingShingle | Recent Developments in the Theory of Information Retrieval. Stockholm Papers in Library and Information Science. Bookstein, Abraham Check Lists Information Retrieval Online Systems Probability Relevance (Information Retrieval) Search Strategies Recent Developments in the Theory of Information Retrieval. Stockholm Papers in Library and Information Science. Bookstein, Abraham Check Lists Information Retrieval Online Systems Probability Relevance (Information Retrieval) Search Strategies Recently considerable attention has been given in the online information retrieval literature to techniques for producing a weighted output of documents in response to a request. One approach tries to maintain the form of and relationships among requests as they appear in current Boolean logic-based systems, while extending it to permit a weighted output. It is based on the mathematics of fuzzy-set theory, which assigns each potential member of a set a degree of membership between zero and one with intermediate values denoting partial membership in the set. Another approach is based on the mathematics of probability. It represents requests by sets of terms, and, by means of feedback information, assigns a weight to each term. Documents are ordered by the sum of weights of the terms in the request that match those in the documents. This paper provides an overview of both approaches and their advantages and disadvantages. It also outlines a basic theory of information retrieval, discusses the characteristics and problems of using Boolean logic in information retrieval, and lists areas for continuing research. An appendix describing mathematical constraints on fuzzy-complements and a 21-item bibliography conclude the paper. (Author/ESR) |
| title | Recent Developments in the Theory of Information Retrieval. Stockholm Papers in Library and Information Science. |
| topic | Check Lists Information Retrieval Online Systems Probability Relevance (Information Retrieval) Search Strategies |
| url | https://eric.ed.gov/?id=ED232691 |