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Salton, G.: Historical note: the past thirty years in information retrieval (1987) 0.01

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Source: Journal of the American Society for Information Science. 38(1987) no.5, S.375-380

Salton, G.; Fox, E.A.; Voorhees, E.: Advanced feedback methods in information retrieval (1985) 0.01

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Source: Journal of the American Society for Information Science. 36(1985), S.200-210

Salton, G.: Automated language processing (1968) 0.01

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Source: Annual review of information science and technology. 3(1968), S.137-168

Salton, G.: ¬A new comparison between conventional indexing (MEDLARS) and automatic text processing (SMART) (1972) 0.01

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Source: Journal of the American Society for Information Science. 23(1972), S.75-84

Salton, G.; Allen, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine-readable data (1994) 0.01

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Source: Science. 264(1994) no.5164, S.1421-1426

Salton, G.: Automatic text processing : the transformation, analysis, and retrieval of information by computer (1989) 0.01

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Series: Addison-Wesley series in computer science

Salton, G.; Allan, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine readable texts (1994) 0.01

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Source: Science. 264(1994), S.1421-1426

Wong, S.K.M.; Yao, Y.Y.; Salton, G.; Buckley, C.: Evaluation of an adaptive linear model (1991) 0.01

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Source: Journal of the American Society for Information Science. 42(1991) no.10, S.723-730

Salton, G.; Buckley, C.: Improving retrieval performance by relevance feedback (1990) 0.01

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Source: Journal of the American Society for Information Science. 41(1990) no.4, S.288-297

Salton, G.: ¬A note about information science research (1997) 0.01

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Salton, G.; Buckley, C.: Approaches to global text analysis (1990) 0.01

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Source: ASIS'90: Information in the year 2000, from research to applications. Proc. of the 53rd Annual Meeting of the American Society for Information Science, Toronto, Canada, 4.-8.11.1990. Ed. by Diana Henderson

Salton, G.: Mathematics and information retrieval (1979) 0.01
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Abstract

The development of a given discipline in science and technology often depends on the availability of theorie capable of describing the processes which control the field and of modelling the interactions between the processes. The absence of an accepted theory of information retrieval has benn blamed for the relative disorder and the lack of technical advances in the area. The main mathematical approaches to information retrieval are examined in this study, including both algebraic and probabilistic models, and the difficulties which impede the formalization of information retrieval processes are described. A number of developments are covered where new theoretical understandings have directly led to the improvemenet of retrieval techniques and operations
Salton, G.: Automatic processing of foreign language documents (1985) 0.01
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Abstract

The attempt to computerize a process, such as indexing, abstracting, classifying, or retrieving information, begins with an analysis of the process into its intellectual and nonintellectual components. That part of the process which is amenable to computerization is mechanical or algorithmic. What is not is intellectual or creative and requires human intervention. Gerard Salton has been an innovator, experimenter, and promoter in the area of mechanized information systems since the early 1960s. He has been particularly ingenious at analyzing the process of information retrieval into its algorithmic components. He received a doctorate in applied mathematics from Harvard University before moving to the computer science department at Cornell, where he developed a prototype automatic retrieval system called SMART. Working with this system he and his students contributed for over a decade to our theoretical understanding of the retrieval process. On a more practical level, they have contributed design criteria for operating retrieval systems. The following selection presents one of the early descriptions of the SMART system; it is valuable as it shows the direction automatic retrieval methods were to take beyond simple word-matching techniques. These include various word normalization techniques to improve recall, for instance, the separation of words into stems and affixes; the correlation and clustering, using statistical association measures, of related terms; and the identification, using a concept thesaurus, of synonymous, broader, narrower, and sibling terms. They include, as weIl, techniques, both linguistic and statistical, to deal with the thorny problem of how to automatically extract from texts index terms that consist of more than one word. They include weighting techniques and various documentrequest matching algorithms. Significant among the latter are those which produce a retrieval output of citations ranked in relevante order. During the 1970s, Salton and his students went an to further refine these various techniques, particularly the weighting and statistical association measures. Many of their early innovations seem commonplace today. Some of their later techniques are still ahead of their time and await technological developments for implementation. The particular focus of the selection that follows is an the evaluation of a particular component of the SMART system, a multilingual thesaurus. By mapping English language expressions and their German equivalents to a common concept number, the thesaurus permitted the automatic processing of German language documents against English language queries and vice versa. The results of the evaluation, as it turned out, were somewhat inconclusive. However, this SMART experiment suggested in a bold and optimistic way how one might proceed to answer such complex questions as What is meant by retrieval language compatability? How it is to be achieved, and how evaluated?

Footnote

Original in: Journal of the American Society for Information Science 21(1970) no.3, S.187-194.

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