-
Malsburg, C. von der: ¬The correlation theory of brain function (1981)
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- Source
- http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
-
Cohen, P.R.; Kjeldsen, R.: Information retrieval by constrained spreading activation in semantic networks (1987)
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-
Lochbaum, K.E.; Streeter, A.R.: Comparing and combining the effectiveness of latent semantic indexing and the ordinary vector space model for information retrieval (1989)
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- Abstract
- A retrievalsystem was built to find individuals with appropriate expertise within a large research establishment on the basis of their authored documents. The expert-locating system uses a new method for automatic indexing and retrieval based on singular value decomposition, a matrix decomposition technique related to the factor analysis. Organizational groups, represented by the documents they write, and the terms contained in these documents, are fit simultaneously into a 100-dimensional "semantic" space. User queries are positioned in the semantic space, and the most similar groups are returned to the user. Here we compared the standard vector-space model with this new technique and found that combining the two methods improved performance over either alone. We also examined the effects of various experimental variables on the system`s retrieval accuracy. In particular, the effects of: term weighting functions in the semantic space construction and in query construction, suffix stripping, and using lexical units larger than a a single word were studied.
- Object
- Latent Semantic Indexing
-
Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983)
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- Date
- 30. 3.2001 13:32:22
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Teskey, F.N.: Enriched knowledge representation for information retrieval (1987)
0.06
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- Abstract
- In this paper we identify the need for a new theory of information. An information model is developed which distinguishes between data, as directly observable facts, information, as structured collections of data, and knowledge as methods of using information. The model is intended to support a wide range of information systems. In the paper we develop the use of the model for a semantic information retrieval system using the concept of semantic categories. The likely benefits of this area discussed, though as yet no detailed evaluation has been conducted.
- Source
- SIGIR'87: Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
-
Deerwester, S.; Dumais, S.; Landauer, T.; Furnass, G.; Beck, L.: Improving information retrieval with latent semantic indexing (1988)
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- Abstract
- Describes a latent semantic indexing (LSI) approach for improving information retrieval. Most document retrieval systems depend on matching keywords in queries against those in documents. The LSI approach tries to overcome the incompleteness and imprecision of latent relations among terms and documents. Tested performance of the LSI method ranged from considerably better than to roughly comparable to performance based on weighted keyword matching, apparently depending on the quality of the queries. Best LSI performance was found using a global entropy weighting for terms and about 100 dimensions for representing terms, documents and queries.
- Object
- Latent Semantic Indexing
-
Teskey, F.N.: User models and world models for data, information and knowledge (1989)
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- Abstract
- In this article we identify the need for a new theory of data, information, and knowledge. A model is developed that distinguishes between data as directly observable facts, information as structured collections of data, and knowledge as methods of using information. The model is intended to support a wide range of information systems. In the article we develop the use of the model for a semantic information retrieval system using the concept of semantic categories. The likely benefits of this are discussed, though as yet no detailed evaluation has been conducted
-
Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986)
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- Source
- Information processing and management. 22(1986) no.6, S.465-476
-
Hill, J.S.: Online classification number access : some practical considerations (1984)
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- Source
- Journal of academic librarianship. 10(1984), S.17-22
- Theme
- Klassifikationssysteme im Online-Retrieval
-
Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.109-145
-
Smith, L.C.: Artificial intelligence and information retrieval (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.41-77
-
Maniez, J.: Relationships in thesauri : some critical remarks (1988)
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- Abstract
- After reviewing some fundamental distinctions in relationships (paradigmatic/sytagmatic, interconceptual/ structural) the author proposes a functional approach for investigating the relationships in thesauri. The comparison between three closely related types of semantic fields (lexical, conceptual, thesaural) shows the specific function of relationships in all of these intellectual tools. In information retrieval the two main functions are location of relevant concepts and search of exhaustivity. a clear distinction of these aims can contribute to solving the difficult problem of the choice of 'related terms'. It is suggested that their usefulness relies upon empirical rather than upon semantic proximity. Some practical propositions are amde for the choice and display of relationships in thesauri
-
Pao, M.L.; Worthen, D.B.: Retrieval effectiveness by semantic and citation searching (1989)
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- Abstract
- A pilot study on the relative retrieval effectiveness of semantic relevance (by terms) and pragmatic relevance (by citations) is reported. A single database has been constructed to provide access by both descriptors and cited references. For each question from a set of queries, two equivalent sets were retrieved. All retrieved items were evaluated by subject experts for relevance to their originating queries. We conclude that there are essentially two types of relevance at work resulting in two different sets of documents. Using both search methods to create a union set is likely to increase recall. Those few retrieved by the intersection of the two methods tend to result in higher precision. Suggestions are made to develop a front-end system to display the overlapping items for higher precision and to manipulate and rank the union set sets retrieved by the two search modes for improved output
-
Ingwersen, P.; Wormell, I.: Modern indexing and retrieval techniques matching different types of information needs (1989)
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- Source
- International forum on information and documentation. 14(1989), S.17-22
-
Lancaster, F.W.: Vocabulary control for information retrieval (1986)
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- Date
- 22. 4.2007 10:07:51
- LCSH
- Information retrieval
- RSWK
- Information Retrieval / Terminologische Kontrolle
- Subject
- Information Retrieval / Terminologische Kontrolle
Information retrieval
-
Biebricher, N.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬The automatic indexing system AIR/PHYS : from research to application (1988)
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- Date
- 16. 8.1998 12:51:22
- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.513-517.
- Source
- Proceedings of the 11th annual conference on research and development in information retrieval. Ed.: Y. Chiaramella
-
Frisch, A.M.; Allen, J.F.: Knowledge retrieval as limited inference (1982)
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- Abstract
- Artificial intelligence reasoning systems commonly employ a knowledge base module that stores a set of facts expressed in a representation language and provides facilities to retrieve these facts. A retriever could range from a simple pattern matcher to a complete logical inference system. In practice, most fall in between these extremes, providing some forms of inference but not others. Unfortunately, most of these retrievers are not precisely defined. We view knowledge retrieval as a limited form of inference operating on the stored facts. This paper is concerned with our method of using first-order predicate calculus to formally specify a limited inference mechanism and to a lesser extent with the techniques for producing an efficient program that meets the specification. Our ideas are illustrated by developing a simplified version of a retriever used in the knowledge base of the Rochester Dialog System. The interesting property of this retriever is that it perlorms typical semantic network inferences such as inheritance but not arbitrary logical inferences such as modus ponens.
-
Hodges, P.R.: Keyword in title indexes : effectiveness of retrieval in computer searches (1983)
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- Abstract
- A study was done to test the effectiveness of retrieval using title word searching. It was based on actual search profiles used in the Mechanized Information Center at Ohio State University, in order ro replicate as closely as possible actual searching conditions. Fewer than 50% of the relevant titles were retrieved by keywords in titles. The low rate of retrieval can be attributes to three sources: titles themselves, user and information specialist ignorance of the subject vocabulary in use, and to general language problems. Across fields it was found that the social sciences had the best retrieval rate, with science having the next best, and arts and humanities the lowest. Ways to enhance and supplement keyword in title searching on the computer and in printed indexes are discussed.
- Date
- 14. 3.1996 13:22:21
-
Dack, D.: Australian attends conference on Dewey (1989)
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- Abstract
- Edited version of a report to the Australian Library and Information Association on the Conference on classification theory in the computer age, Albany, New York, 18-19 Nov 88, and on the meeting of the Dewey Editorial Policy Committee which preceded it. The focus of the Editorial Policy Committee Meeting lay in the following areas: browsing; potential for improved subject access; system design; potential conflict between shelf location and information retrieval; and users. At the Conference on classification theory in the computer age the following papers were presented: Applications of artificial intelligence to bibliographic classification, by Irene Travis; Automation and classification, By Elaine Svenonious; Subject classification and language processing for retrieval in large data bases, by Diana Scott; Implications for information processing, by Carol Mandel; and implications for information science education, by Richard Halsey.
- Date
- 8.11.1995 11:52:22
- Theme
- Klassifikationssysteme im Online-Retrieval
-
Walker, S.: ¬The Okapi online catalogue research projects (1989)
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- Date
- 16. 8.1998 11:22:08
- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.424-435.
