Search (34 results, page 1 of 2)

  • × author_ss:"Salton, G."
  1. Buckley, C.; Allan, J.; Salton, G.: Automatic routing and retrieval using Smart : TREC-2 (1995) 0.22
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    Abstract
    The Smart information retrieval project emphazises completely automatic approaches to the understanding and retrieval of large quantities of text. The work in the TREC-2 environment continues, performing both routing and ad hoc experiments. The ad hoc work extends investigations into combining global similarities, giving an overall indication of how a document matches a query, with local similarities identifying a smaller part of the document that matches the query. The performance of ad hoc runs is good, but it is clear that full advantage of the available local information is not been taken advantage of. The routing experiments use conventional relevance feedback approaches to routing, but with a much greater degree of query expansion than was previously done. The length of a query vector is increased by a factor of 5 to 10 by adding terms found in previously seen relevant documents. This approach improves effectiveness by 30-40% over the original query
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  2. Salton, G.; McGill, M. J.: Introduction to modern information retrieval (1983) 0.07
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    Footnote
    Liegt auch in deutscher Übersetzung vor
    Theme
    Grundlagen u. Einführungen: Allgemeine Literatur
  3. Salton, G.; Buckley, C.: Term-weighting approaches in automatic text retrieval (1988) 0.06
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.323-328.
  4. Salton, G.; Lesk, M.E.: Computer evaluation of indexing and text processing (1968) 0.06
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.60-84.
  5. Salton, G.; Araya, J.: On the use of clustered file organizations in information search and retrieval (1990) 0.05
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    Source
    Library classification and its functions. Int. Conf. on ..., 20.-21.6.1989, Edmonton, Alberta. Ed.: A. Nitecki u. T. Fell
  6. Salton, G.; Wong, A.; Yang, C.S.: ¬A vector space model for automatic indexing (1975) 0.05
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.273-280.
  7. Salton, G.; Allan, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine readable texts (1994) 0.05
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.478-483.
  8. Salton, G.; McGill, M. J.: Information Retrieval: Grundlegendes für Informationswissenschaftler (1987) 0.03
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    Content
    Enthält die Kapitel: Information Retrieval: eine Einführung; Invertierte Dateisysteme; Textanalyse und automatisches Indexieren; Die experimentellen Retrievalsysteme SMART und SIRE; Die Bewertung von Retrievalsystemen; Fortgeschrittene Retrievaltechniken; Verarbeitung natürlicher Sprache; Informationstechnologie: Hardware und Software; Datenbankmanagementsysteme; Zukünftige Entwicklungen im Information Retrieval
    Theme
    Grundlagen u. Einführungen: Allgemeine Literatur
  9. Salton, G.: Future prospects for text-based information retrieval (1990) 0.03
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    Source
    Pragmatische Aspekte beim Entwurf und Betrieb von Informationssystemen: Proc. des 1. Int. Symposiums für Informationswissenschaft, Universität Konstanz, 17.-19.10.1990. Hrsg.: J. Herget u. R. Kuhlen
  10. Salton, G.; Rijsbergen, C.J. van; Maron, M.E.: Panel on key issues in information retrieval (1983) 0.02
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    Abstract
    Contribution to an issue devoted to the 6th Annual International Conference of the Special Interest Group on Information Retrieval of the Association for Computing Machinery (USA) held at the National Library of Medicine, Bethesda, Maryland, from 6-8 June 83. The following papers were presented in session 12 which was a panel on key issues in information retrieval: SALTON, G.: Research problems in automatic information retrieval; RIJSBERGEN, C.J. van: Information retrieval: new directions, old solutions; MARON, M.E.: Open problems in information retrieval
  11. Salton, G.: Historical note: the past thirty years in information retrieval (1987) 0.02
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  12. Salton, G.; Fox, E.A.; Voorhees, E.: Advanced feedback methods in information retrieval (1985) 0.02
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  13. Salton, G.; Waldstein, R.H.: Term relevance weights in on-line information retrieval (1978) 0.02
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  14. Salton, G.: Automatic text processing : the transformation, analysis, and retrieval of information by computer (1989) 0.02
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    COMPASS
    Information retrieval / Use of / On-line computers
    Series
    Addison-Wesley series in computer science
    Subject
    Information retrieval / Use of / On-line computers
  15. Salton, G.: Mathematics and information retrieval (1979) 0.02
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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
  16. Salton, G.: Experiments in automatic thesaurus construction for information retrieval (1972) 0.02
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  17. Salton, G.: ¬The state of retrieval system evaluation (1992) 0.01
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    Abstract
    Substatioal misgivings have been voiced over the years about the methodologies used to evaluate IR procedures and about the credibility of many of the available test results. In this note, an attempt is made to review the state of retrieval evaluation and to separate certain misgivings about the design of retrieval tests from conclusions that can legitimately be drawn from the evaluation results
  18. Lesk, M.E.; Salton, G.: Relevance assements and retrieval system evaluation (1969) 0.01
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    Abstract
    Two widerly used criteria for evaluating the effectiveness of information retrieval systems are, respectively, the recall and the precision. Since the determiniation of these measures is dependent on a distinction between documents which are relevant to a given query and documents which are not relevant to that query, it has sometimes been claimed that an accurate, generally valid evaluation cannot be based on recall and precision measure. A study was made to determine the effect of variations in relevance assesments do not produce significant variations in average recall and precision. It thus appears that properly computed recall and precision data may represent effectiveness indicators which are gemerally valid for many distinct user classes.
    Source
    Information storage and retrieval. 4(1969), S.343-359
  19. Salton, G.: SMART System: 1961-1976 (2009) 0.01
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    Abstract
    While a number of researchers had experimented during the 1950's on automatic indexing and retrieval in various forms, it was Gerard Salton who brought the information retrieval experimental paradigm to full fruition, with his "SMART" system. His work has been enormously influential.
  20. 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.