Search (55 results, page 3 of 3)

  • × language_ss:"e"
  • × theme_ss:"Automatisches Indexieren"
  • × year_i:[1990 TO 2000}
  1. Koch, T.: Experiments with automatic classification of WAIS databases and indexing of WWW : some results from the Nordic WAIS/WWW project (1994) 0.01
    0.013270989 = product of:
      0.039812967 = sum of:
        0.039812967 = product of:
          0.079625934 = sum of:
            0.079625934 = weight(_text_:indexing in 7209) [ClassicSimilarity], result of:
              0.079625934 = score(doc=7209,freq=4.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.41867304 = fieldWeight in 7209, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=7209)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    The Nordic WAIS/WWW project sponsored by NORDINFO is a joint project between Lund University Library and the National Technological Library of Denmark. It aims to improve the existing networked information discovery and retrieval tools Wide Area Information System (WAIS) and World Wide Web (WWW), and to move towards unifying WWW and WAIS. Details current results focusing on the WAIS side of the project. Describes research into automatic indexing and classification of WAIS sources, development of an orientation tool for WAIS, and development of a WAIS index of WWW resources
  2. Smart, G.: Using language analysis to manage information (1993) 0.01
    0.01072458 = product of:
      0.032173738 = sum of:
        0.032173738 = product of:
          0.064347476 = sum of:
            0.064347476 = weight(_text_:indexing in 4423) [ClassicSimilarity], result of:
              0.064347476 = score(doc=4423,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.3383389 = fieldWeight in 4423, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0625 = fieldNorm(doc=4423)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    The ESPRIT project SIMPR developed software to analyse documents and generate indexes for them. Of immediate application as a document indexing and classification system, this also offers a technology for information modelling that has broader implications, supporting many new uses for information management softeware. The project was based on the assumption that information can only be managed successfully by computer systems that can view the information contained in a document through the language in which the document is written, and that systems need to be sufficiently flexible to respond to the changing requirements of document use
  3. Cunningham, P.; Veale, T.; Conway, A.: Knowledge acquisition for concept indexing in document retrieval (1992) 0.01
    0.01072458 = product of:
      0.032173738 = sum of:
        0.032173738 = product of:
          0.064347476 = sum of:
            0.064347476 = weight(_text_:indexing in 5083) [ClassicSimilarity], result of:
              0.064347476 = score(doc=5083,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.3383389 = fieldWeight in 5083, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0625 = fieldNorm(doc=5083)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
  4. Paijmans, H.: Comparing the document representation of two IR-systems : CLARIT and TOPIC (1993) 0.01
    0.01072458 = product of:
      0.032173738 = sum of:
        0.032173738 = product of:
          0.064347476 = sum of:
            0.064347476 = weight(_text_:indexing in 6503) [ClassicSimilarity], result of:
              0.064347476 = score(doc=6503,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.3383389 = fieldWeight in 6503, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0625 = fieldNorm(doc=6503)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Discusses the TOPIC and CLARIT information retrieval systems in terms of assigned versus derived and precoordinate versus postcoordinate indexing. Compares the document representation of the two systems. Reports on a test done on a small sample of Wall Street Journal articles. The positive results found for CLARIT in earlier test on medical documents were not observed in this general database
  5. Malone, L.C.; Driscoll, J.R.; Pepe, J.W.: Modeling the performance of an automated keywording system (1991) 0.01
    0.01072458 = product of:
      0.032173738 = sum of:
        0.032173738 = product of:
          0.064347476 = sum of:
            0.064347476 = weight(_text_:indexing in 6682) [ClassicSimilarity], result of:
              0.064347476 = score(doc=6682,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.3383389 = fieldWeight in 6682, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0625 = fieldNorm(doc=6682)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Presents a model for predicting the performance of a computerised keyword assigning and indexing system. Statistical procedures were investigated in order to protect against incorrect keywording by the system behaving as an expert system designed to mimic the behaviour of human keyword indexers and representing lessons learned from military exercises and operations
  6. Cohen, J.D.: Highlights: language- and domain-independent automatic indexing terms for abstracting (1995) 0.01
    0.009384007 = product of:
      0.02815202 = sum of:
        0.02815202 = product of:
          0.05630404 = sum of:
            0.05630404 = weight(_text_:indexing in 1793) [ClassicSimilarity], result of:
              0.05630404 = score(doc=1793,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.29604656 = fieldWeight in 1793, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=1793)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
  7. Srinivasan, P.: On generalizing the Two-Poisson Model (1990) 0.01
    0.009384007 = product of:
      0.02815202 = sum of:
        0.02815202 = product of:
          0.05630404 = sum of:
            0.05630404 = weight(_text_:indexing in 2880) [ClassicSimilarity], result of:
              0.05630404 = score(doc=2880,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.29604656 = fieldWeight in 2880, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=2880)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Automatic indexing is one of the important functions of a modern document retrieval system. Numerous techniques for this function have been proposed in the literature ranging from purely statistical to linguistically complex mechanisms. Most result from examining properties of terms. Examines term distribution within the framework of the Poisson models. Specifically examines the effectiveness of the Two-Poisson and the Three-Poisson model to see if generalisation results in increased effectiveness. The results show that the Two-Poisson model is only moderately effective in identifying index terms. In addition, generalisation to the Three-Poisson does not give any additional power. The only Poisson model which consistently works well is the basic One-Poisson model. Also discusses term distribution information.
  8. Shafer, K.: Scorpion Project explores using Dewey to organize the Web (1996) 0.01
    0.009384007 = product of:
      0.02815202 = sum of:
        0.02815202 = product of:
          0.05630404 = sum of:
            0.05630404 = weight(_text_:indexing in 6750) [ClassicSimilarity], result of:
              0.05630404 = score(doc=6750,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.29604656 = fieldWeight in 6750, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=6750)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    As the amount of accessible information on the WWW increases, so will the cost of accessing it, even if search servcies remain free, due to the increasing amount of time users will have to spend to find needed items. Considers what the seemingly unorganized Web and the organized world of libraries can offer each other. The OCLC Scorpion Project is attempting to combine indexing and cataloguing, specifically focusing on building tools for automatic subject recognition using the technqiues of library science and information retrieval. If subject headings or concept domains can be automatically assigned to electronic items, improved filtering tools for searching can be produced
  9. Lassalle, E.: Text retrieval : from a monolingual system to a multilingual system (1993) 0.01
    0.009384007 = product of:
      0.02815202 = sum of:
        0.02815202 = product of:
          0.05630404 = sum of:
            0.05630404 = weight(_text_:indexing in 7403) [ClassicSimilarity], result of:
              0.05630404 = score(doc=7403,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.29604656 = fieldWeight in 7403, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=7403)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    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
  10. Tsujii, J.-I.: Automatic acquisition of semantic collocation from corpora (1995) 0.01
    0.008975455 = product of:
      0.026926363 = sum of:
        0.026926363 = product of:
          0.053852726 = sum of:
            0.053852726 = weight(_text_:22 in 4709) [ClassicSimilarity], result of:
              0.053852726 = score(doc=4709,freq=2.0), product of:
                0.17398734 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.049684696 = queryNorm
                0.30952093 = fieldWeight in 4709, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=4709)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Date
    31. 7.1996 9:22:19
  11. Riloff, E.: ¬An empirical study of automated dictionary construction for information extraction in three domains (1996) 0.01
    0.008975455 = product of:
      0.026926363 = sum of:
        0.026926363 = product of:
          0.053852726 = sum of:
            0.053852726 = weight(_text_:22 in 6752) [ClassicSimilarity], result of:
              0.053852726 = score(doc=6752,freq=2.0), product of:
                0.17398734 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.049684696 = queryNorm
                0.30952093 = fieldWeight in 6752, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=6752)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Date
    6. 3.1997 16:22:15
  12. Liu, G.Z.: Semantic vector space model : implementation and evaluation (1997) 0.01
    0.0080434345 = product of:
      0.024130303 = sum of:
        0.024130303 = product of:
          0.048260607 = sum of:
            0.048260607 = weight(_text_:indexing in 161) [ClassicSimilarity], result of:
              0.048260607 = score(doc=161,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.2537542 = fieldWeight in 161, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.046875 = fieldNorm(doc=161)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Presents the Semantic Vector Space Model (SVSM), a text representation and searching technique based on the combination of Vector Space Model (VSM) with heuristic syntax parsing and distributed representation of semantic case structures. Both document and queries are represented as semantic matrices. A search mechanism is designed to compute the similarity between 2 semantic matrices to predict relevancy. A prototype system was built to implement this model by modifying the SMART system and using the Xerox Part of Speech tagged as the pre-processor of the indexing. The prototype system was used in an experimental study to evaluate this technique in terms of precision, recall, and effectiveness of relevance ranking. Results show that if documents and queries were too short, the technique was less effective than VSM. But with longer documents and queires, especially when original docuemtns were used as queries, the system based on this technique was found be performance better than SMART
  13. Wolfekuhler, M.R.; Punch, W.F.: Finding salient features for personal Web pages categories (1997) 0.01
    0.007853523 = product of:
      0.023560567 = sum of:
        0.023560567 = product of:
          0.047121134 = sum of:
            0.047121134 = weight(_text_:22 in 2673) [ClassicSimilarity], result of:
              0.047121134 = score(doc=2673,freq=2.0), product of:
                0.17398734 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.049684696 = queryNorm
                0.2708308 = fieldWeight in 2673, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=2673)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Date
    1. 8.1996 22:08:06
  14. Search Engines and Beyond : Developing efficient knowledge management systems, April 19-20 1999, Boston, Mass (1999) 0.01
    0.00536229 = product of:
      0.016086869 = sum of:
        0.016086869 = product of:
          0.032173738 = sum of:
            0.032173738 = weight(_text_:indexing in 2596) [ClassicSimilarity], result of:
              0.032173738 = score(doc=2596,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.16916946 = fieldWeight in 2596, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.03125 = fieldNorm(doc=2596)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Content
    Ramana Rao (Inxight, Palo Alto, CA) 7 ± 2 Insights on achieving Effective Information Access Session One: Updates and a twelve month perspective Danny Sullivan (Search Engine Watch, US / England) Portalization and other search trends Carol Tenopir (University of Tennessee) Search realities faced by end users and professional searchers Session Two: Today's search engines and beyond Daniel Hoogterp (Retrieval Technologies, McLean, VA) Effective presentation and utilization of search techniques Rick Kenny (Fulcrum Technologies, Ontario, Canada) Beyond document clustering: The knowledge impact statement Gary Stock (Ingenius, Kalamazoo, MI) Automated change monitoring Gary Culliss (Direct Hit, Wellesley Hills, MA) User popularity ranked search engines Byron Dom (IBM, CA) Automatically finding the best pages on the World Wide Web (CLEVER) Peter Tomassi (LookSmart, San Francisco, CA) Adding human intellect to search technology Session Three: Panel discussion: Human v automated categorization and editing Ev Brenner (New York, NY)- Chairman James Callan (University of Massachusetts, MA) Marc Krellenstein (Northern Light Technology, Cambridge, MA) Dan Miller (Ask Jeeves, Berkeley, CA) Session Four: Updates and a twelve month perspective Steve Arnold (AIT, Harrods Creek, KY) Review: The leading edge in search and retrieval software Ellen Voorhees (NIST, Gaithersburg, MD) TREC update Session Five: Search engines now and beyond Intelligent Agents John Snyder (Muscat, Cambridge, England) Practical issues behind intelligent agents Text summarization Therese Firmin, (Dept of Defense, Ft George G. Meade, MD) The TIPSTER/SUMMAC evaluation of automatic text summarization systems Cross language searching Elizabeth Liddy (TextWise, Syracuse, NY) A conceptual interlingua approach to cross-language retrieval. Video search and retrieval Armon Amir (IBM, Almaden, CA) CueVideo: Modular system for automatic indexing and browsing of video/audio Speech recognition Michael Witbrock (Lycos, Waltham, MA) Retrieval of spoken documents Visualization James A. Wise (Integral Visuals, Richland, WA) Information visualization in the new millennium: Emerging science or passing fashion? Text mining David Evans (Claritech, Pittsburgh, PA) Text mining - towards decision support
  15. SIGIR'92 : Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (1992) 0.00
    0.0046920036 = product of:
      0.01407601 = sum of:
        0.01407601 = product of:
          0.02815202 = sum of:
            0.02815202 = weight(_text_:indexing in 6671) [ClassicSimilarity], result of:
              0.02815202 = score(doc=6671,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.14802328 = fieldWeight in 6671, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.02734375 = fieldNorm(doc=6671)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    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

Types

  • a 53
  • el 1
  • s 1
  • More… Less…