Search (111 results, page 2 of 6)

  • × theme_ss:"Automatisches Indexieren"
  • × year_i:[1990 TO 2000}
  1. Salton, G.; Araya, J.: On the use of clustered file organizations in information search and retrieval (1990) 0.01 
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  2. Reimer, U.: Verfahren der automatischen Indexierung : benötigtes Vorwissen und Ansätze zu seiner automatischen Akquisition, ein Überblick (1992) 0.01 
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    Source
    Experimentelles und praktisches Information Retrieval: Festschrift für Gerhard Lustig. Hrsg. R. Kuhlen
  3. Milstead, J.L.: Thesauri in a full-text world (1998) 0.01 
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    Abstract
    Despite early claims to the contemporary, thesauri continue to find use as access tools for information in the full-text environment. Their mode of use is changing, but this change actually represents an expansion rather than a contrdiction of their utility. Thesauri and similar vocabulary tools can complement full-text access by aiding users in focusing their searches, by supplementing the linguistic analysis of the text search engine, and even by serving as one of the tools used by the linguistic engine for its analysis. While human indexing contunues to be used for many databases, the trend is to increase the use of machine aids for this purpose. All machine-aided indexing (MAI) systems rely on thesauri as the basis for term selection. In the 21st century, the balance of effort between human and machine will change at both input and output, but thesauri will continue to play an important role for the foreseeable future
    Date
    22. 9.1997 19:16:05
    Imprint
    Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science
    Source
    Visualizing subject access for 21st century information resources: Papers presented at the 1997 Clinic on Library Applications of Data Processing, 2-4 Mar 1997, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign. Ed.: P.A. Cochrane et al
    Theme
    Verbale Doksprachen im Online-Retrieval
  4. Buckley, C.; Allan, J.; Salton, G.: Automatic routing and retrieval using Smart : TREC-2 (1995) 0.01 
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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
    Source
    Information processing and management. 31(1995) no.3, S.315-326
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  5. McKiernan, G.: Automated categorisation of Web resources : a profile of selected projects, research, products, and services (1996) 0.01 
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    Source
    New review of information networking. 1996, no.2, S.15-40
  6. Lepsky, K.: Automatisierung in der Sacherschließung : Maschinelles Indexieren von Titeldaten (1996) 0.01 
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    Source
    85. Deutscher Bibliothekartag in Göttingen 1995: Die Herausforderung der Bibliotheken durch elektronische Medien und neue Organisationsformen. Hrsg.: S. Wefers
  7. SIGIR'92 : Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (1992) 0.01 
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    Content
    HARMAN, D.: Relevance feedback revisited; AALBERSBERG, I.J.: Incremental relevance feedback; TAGUE-SUTCLIFFE, J.: Measuring the informativeness of a retrieval process; LEWIS, D.D.: An evaluation of phrasal and clustered representations on a text categorization task; BLOSSEVILLE, M.J., G. HÉBRAIL, M.G. MONTEIL u. N. PÉNOT: Automatic document classification: natural language processing, statistical analysis, and expert system techniques used together; MASAND, B., G. LINOFF u. D. WALTZ: Classifying news stories using memory based reasoning; KEEN, E.M.: Term position ranking: some new test results; CROUCH, C.J. u. B. YANG: Experiments in automatic statistical thesaurus construction; GREFENSTETTE, G.: Use of syntactic context to produce term association lists for text retrieval; ANICK, P.G. u. R.A. FLYNN: Versioning of full-text information retrieval system; BURKOWSKI, F.J.: Retrieval activities in a database consisting of heterogeneous collections; DEERWESTER, S.C., K. WACLENA u. M. LaMAR: A textual object management system; NIE, J.-Y.:Towards a probabilistic modal logic for semantic-based information retrieval; WANG, A.W., S.K.M. WONG u. Y.Y. YAO: An analysis of vector space models based on computational geometry; BARTELL, B.T., G.W. COTTRELL u. R.K. BELEW: Latent semantic indexing is an optimal special case of multidimensional scaling; GLAVITSCH, U. u. P. SCHÄUBLE: A system for retrieving speech documents; MARGULIS, E.L.: N-Poisson document modelling; HESS, M.: An incrementally extensible document retrieval system based on linguistics and logical principles; COOPER, W.S., F.C. GEY u. D.P. DABNEY: Probabilistic retrieval based on staged logistic regression; FUHR, N.: Integration of probabilistic fact and text retrieval; CROFT, B., L.A. SMITH u. H. TURTLE: A loosely-coupled integration of a text retrieval system and an object-oriented database system; DUMAIS, S.T. u. J. NIELSEN: Automating the assignement of submitted manuscripts to reviewers; GOST, M.A. u. M. MASOTTI: Design of an OPAC database to permit different subject searching accesses; ROBERTSON, A.M. u. P. WILLETT: Searching for historical word forms in a database of 17th century English text using spelling correction methods; FAX, E.A., Q.F. CHEN u. L.S. HEATH: A faster algorithm for constructing minimal perfect hash functions; MOFFAT, A. u. J. ZOBEL: Parameterised compression for sparse bitmaps; GRANDI, F., P. TIBERIO u. P. Zezula: Frame-sliced patitioned parallel signature files; ALLEN, B.: Cognitive differences in end user searching of a CD-ROM index; SONNENWALD, D.H.: Developing a theory to guide the process of designing information retrieval systems; CUTTING, D.R., J.O. PEDERSEN, D. KARGER, u. J.W. TUKEY: Scatter/ Gather: a cluster-based approach to browsing large document collections; CHALMERS, M. u. P. CHITSON: Bead: Explorations in information visualization; WILLIAMSON, C. u. B. SHNEIDERMAN: The dynamic HomeFinder: evaluating dynamic queries in a real-estate information exploring system
  8. Hmeidi, I.; Kanaan, G.; Evens, M.: Design and implementation of automatic indexing for information retrieval with Arabic documents (1997) 0.01 
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    Abstract
    A corpus of 242 abstracts of Arabic documents on computer science and information systems using the Proceedings of the Saudi Arabian National Conferences as a source was put together. Reports on the design and building of an automatic information retrieval system from scratch to handle Arabic data. Both automatic and manual indexing techniques were implemented. Experiments using measures of recall and precision has demonstrated that automatic indexing is at least as effective as manual indexing and more effective in some cases. Automatic indexing is both cheaper and faster. Results suggests that a wider coverage of the literature can be achieved with less money and produce as good results as with manual indexing. Compares the retrieval results using words as index terms versus stems and roots, and confirms the results obtained by Al-Kharashi and Abu-Salem with smaller corpora that root indexing is more effective than word indexing
    Source
    Journal of the American Society for Information Science. 48(1997) no.10, S.867-881
  9. Plaunt, C.; Norgard, B.A.: ¬An association-based method for automatic indexing with a controlled vocabulary (1998) 0.01 
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    Abstract
    In this article, we describe and test a two-stage algorithm based on a lexical collocation technique which maps from the lexical clues contained in a document representation into a controlled vocabulary list of subject headings. Using a collection of 4.626 INSPEC documents, we create a 'dictionary' of associations between the lexical items contained in the titles, authors, and abstracts, and controlled vocabulary subject headings assigned to those records by human indexers using a likelihood ratio statistic as the measure of association. In the deployment stage, we use the dictiony to predict which of the controlled vocabulary subject headings best describe new documents when they are presented to the system. Our evaluation of this algorithm, in which we compare the automatically assigned subject headings to the subject headings assigned to the test documents by human catalogers, shows that we can obtain results comparable to, and consistent with, human cataloging. In effect we have cast this as a classic partial match information retrieval problem. We consider the problem to be one of 'retrieving' (or assigning) the most probably 'relevant' (or correct) controlled vocabulary subject headings to a document based on the clues contained in that document
    Date
    11. 9.2000 19:53:22
    Source
    Journal of the American Society for Information Science. 49(1998) no.10, S.888-902
  10. Polity, Y.: Vers une ergonomie linguistique (1994) 0.01 
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    Abstract
    Analyzed a special type of man-mchine interaction, that of searching an information system with natural language. A model for full text processing for information retrieval was proposed that considered the system's users and how they employ information. Describes how INIST (the National Institute for Scientific and Technical Information) is developing computer assisted indexing as an aid to improving relevance when retrieving information from bibliographic data banks
  11. Cunningham, P.; Veale, T.; Conway, A.: Knowledge acquisition for concept indexing in document retrieval (1992) 0.01 
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    Abstract
    Describes TWIG, a system for knowledge acquisition from text for use in an intelligent document database system. Documents are scanned into the system and converted into a hypertext thus providing a richer environment for browsing and retrieval. The knowledge acquisition phase is blackboard based with the text analysis expertise partitioned into agents that communicate through the blackboard
    Source
    Expert systems for information management. 5(1992) no.1, S.25-41
  12. Alexander, M.: Automatic indexing of document images using Excalibur EFS (1995) 0.01 
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    Abstract
    Discusses research into the application of adaptive pattern recognition technology to enable effective retrieval from scanned document images. Describes application at the British Library of Excalibur EFS software which uses adaptive pattern recognition technology to provide access to digital information in its native forms, fuzzy searching retrieval and automatic indexing capabilities. It was used to make specialist printed catalogues and indexes accessible on computer via content based indexes
  13. Losee, R.M.: ¬A Gray code based ordering for documents on shelves : classification for browsing and retrieval (1992) 0.01 
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    Abstract
    A document classifier places documents together in a linear arrangement for browsing or high-speed access by human or computerised information retrieval systems. Requirements for document classification and browsing systems are developed from similarity measures, distance measures, and the notion of subject aboutness. A requirement that documents be arranged in decreasing order of similarity as the distance from a given document increases can often not be met. Based on these requirements, information-theoretic considerations, and the Gray code, a classification system is proposed that can classifiy documents without human intervention. A measure of classifier performance is developed, and used to evaluate experimental results comparing the distance between subject headings assigned to documents given classifications from the proposed system and the Library of Congress Classification (LCC) system
    Source
    Journal of the American Society for Information Science. 43(1992) no.4, S.312-322
  14. 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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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.478-483.
  15. Bookstein, A.; Klein, S.T.; Raita, T.: Clumping properties of content-bearing words (1998) 0.01 
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    Abstract
    Information Retrieval Systems identify content bearing words, and possibly also assign weights, as part of the process of formulating requests. For optimal retrieval efficiency, it is desirable that this be done automatically. This article defines the notion of serial clustering of words in text, and explores the value of such clustering as an indicator of a word's bearing content. This approach is flexible in the sense that it is sensitive to context: a term may be assessed as content-bearing within one collection, but not another. Our approach, being numerical, may also be of value in assigning weights to terms in requests. Experimental support is obtained from natural text databases in three different languages
    Source
    Journal of the American Society for Information Science. 49(1998) no.2, S.102-114
  16. Kaiser, A.: Computer-unterstütztes Indexieren in Intelligenten Information Retrieval Systemen : Ein Relevanz-Feedback orientierter Ansatz zur Informationserschließung in unformatierten Datenbanken (1993) 0.01 
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    Abstract
    Information ist in unserer Zeit zu einem sehr wichtigen Gut geworden. Sie ist Grundlage jeglicher seriösen Entscheidungsfindung. Die Informationsflut ist in den letzten Jahren stark angestiegen und auch in absehbarer Zeit wird die Menge der Informationen weiter anwachsen. Daher wird es immer wichtiger, sich ''Information über Information'' zu organisieren. Es ist nicht möglich, über alle Bereiche, mit denen man konfrontiert wird, im letzten Detail informiert zu sein. Notwendig und wichtig ist es aber zu wissen, wo man sich informieren kann. Relevante Informationen müssen möglichst rasch gefunden werden können. Im praktischen, EDV-unterstützten Einsatz findet man zu diesem Zweck Informationssysteme verschiedenster Art. Das Spektrum reicht dabei von Management-Informationssystemen, über Expertensysteme bis zu Datenbanksystemen und Information Retrieval Systemen (IR-Systemen). Obwohl die einzelnen Typen dieser informationsverarbeitenden Systeme für unterschiedliche Anwendergruppen und unterschiedliche Aufgabenarten konzipiert sind, ergeben sich beim Entwurf der Systeme doch sehr ähnlich gelagerte Problemkreise und Fragestellungen. * Die Darstellung und die Organisation von bestehendem Wissen und bekannten Fakten im Informationssystem (Informationserschließung). * Das (Wieder)finden relevanter Informationen aus dem Informationssystem und das Führen des Benutzers durch das Informationssystem. Ein Information Retrieval System beinhaltet unstrukturierte bibliographische oder textuelle Dokumente und unterscheidet sich dadurch wesentlich von Datenbanksystemen, die für gewöhnlich strukturierte Daten enthalten.
    Konventionelle, formatierte Datenbanken sind heute in der Praxis bereits weit verbreitet. Dies nicht zuletzt auch deshalb, weil unter anderem die standardisierte Abfragesprache SQL existiert und insbesondere bei relationalen Datenbanksystemen die Forschung intensiv an Verbesserungen in Aufbau und Performance der Systeme arbeitet. Die Verbreitung und Akzeptanz von unformatierten Datenbanken, Information Retrieval Systemen, ist hingegen bei weitem nicht so weit gediehen. Ein Grund dafür ist in der mangelnden Benutzerfreundlichkeit der IR-Systeme und in unzulänglichen Methoden der Informationserschließung zu suchen. Mit der vorliegenden Arbeit soll eine Methode zur Informationserschliessung in Information Retrieval Systemen entwickelt werden, die die Bedürfnisse des Benutzers in den Mittelpunkt stellt und so einen Beitrag dazu leistet, die Akzeptanz und Verbreitung von Information Retrieval Systemen, insbesondere für den Bürobereich, zu erhöhen. Die Fragestellung lautet somit: Ist es möglich, den Benutzer bereits im Stadium der Indexierung von Dokumenten in verstärktem Maße miteinzubeziehen, ohne dabei aber auf die maschinelle Unterstützung völlig zu verzichten, wie dies bei der manuellen Indexierung der Fall ist. Jedes Retrievalsystem kann als ein System beschrieben werden, das aus einer Menge von Dokumenten und einer Menge von Suchfragen besteht und das einen Mechanismus enthält, der die für eine Suchanfrage relevanten Dokumente bestimmt.
    Dazu sind folgende Teile eines IR-Systems notwendig: * Informationserschließung Eine Komponente zur Erschließung und Darstellung der gespeicherten Informationen. Dieser Teil dient dazu, den Inhalt der Dokumente zu beschreiben und so darzustellen, daß aufgrund dieser Merkmale ein Dokument gefunden werden kann. Eine Möglichkeit dazu besteht darin, den Dokumenten inhaltsbeschreibende Deskriptoren zuzuordnen. Durch den Prozeß der Indexierung werden die Dokumente in eine Indexierungssprache übersetzt. * Query-Language (Abfragesprache) Eine Komponente zur Formulierung der Suchanfragen des Benutzers. Dieser Teil dient dazu, die Suchanfrage des Benutzers so zu verarbeiten, daß mit der aus der Frage gewonnenen Information über die Bedürfnisse des Benutzers die passenden Dokumente gefunden werden können. * Informationsausgabe - Informationsaufbereitung Eine Komponente zur Ausgabe der auf Grund der Suchanfrage gefundenen Informationen. Dieser Teil stellt das Ergebnis der Suchanfrage dem Benutzer zur Verfügung.
    Es würde den Rahmen der Arbeit sprengen, alle Komponenten eines Information Retrieval Systems zu untersuchen. Daher wird ein Schwerpunkt auf die Informationserschließung gelegt. Dabei wird die (semi)automatische Indexierung von Dokumenten zum Zwecke des Information Retrievals, also der Vorgang der Übersetzung der Dokumente in eine Indexierungssprache genauer behandelt. Dieser Schwerpunkt wurde unter anderem deshalb gewählt, weil meiner Ansicht nach die festzustellende mangelnde Akzeptanz von Information Retrieval Systemen auch damit zu begründen ist, daß die in der Praxis eingesetzten Indexierungskomponenten der Systeme zur Zeit noch nicht den Leistungsumfang erbringen, den der Benutzer von einem ''Intelligenten Information Retrieval System'' erwartet. Ziel der Arbeit ist es, ein Modell zur automatischen Indexierung schrittweise zu entwickeln, das den Benutzer in stärkerem Maße in die Indexierung mit einbezieht, als dies bei den in Literatur und Praxis beschriebenen Verfahren der Fall ist.
  17. Krutulis, J.D.; Jacob, E.K.: ¬A theoretical model for the study of emergent structure in adaptive information networks (1995) 0.01 
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    Abstract
    Attempts to automate classification have focused on mimicking the intellectual processes whereby human classifiers assign entities to mutually exclusive groups that exhibit or more shared characteristics. A more viable approach might be to construct an adaptive retrieval system that produces groupings of related entities by generating dynamic categories based on document content and on the system's emergent structure as it adapts to modifications in the database and to observed patterns of access. Presents a theoretical model for adaptive information networks using relevance feedback and genetic algorithms to generate emergent structure
    Imprint
    Alberta : Alberta University, School of Library and Information Studies
    Source
    Connectedness: information, systems, people, organizations. Proceedings of CAIS/ACSI 95, the proceedings of the 23rd Annual Conference of the Canadian Association for Information Science. Ed. by Hope A. Olson and Denis B. Ward
  18. Lassalle, E.: Text retrieval : from a monolingual system to a multilingual system (1993) 0.01 
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    Abstract
    Describes the TELMI monolingual text retrieval system and its future extension, a multilingual system. TELMI is designed for medium sized databases containing short texts. The characteristics of the system are fine-grained natural language processing (NLP); an open domain and a large scale knowledge base; automated indexing based on conceptual representation of texts and reusability of the NLP tools. Discusses the French MINITEL service, the MGS information service and the TELMI research system covering the full text system; NLP architecture; the lexical level; the syntactic level; the semantic level and an example of the use of a generic system
  19. Gödert, W.; Lepsky, K.: Semantische Umfeldsuche im Information Retrieval (1998) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  20. Garfield, E.: ¬The relationship between mechanical indexing, structural linguistics and information retrieval (1992) 0.01 
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    Source
    Journal of information science. 18(1992) no.5, S.343-354

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