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  • × theme_ss:"Automatisches Indexieren"
  1. Warner, A.J.: ¬A linguistic approach to the automated hierarchical organization of phrases (1990) 0.02 
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    Abstract
    A linguistic analysis was carried out on 8 sets of phrases automatically selected from documents surrogates in mathematics. The purpose of this analysis was to derive an algorithm which would automatically generate a hierarchically organised arrangement of phrases for online display to the user. This would replace an alphabetical display and would be particularly useful in online browsing of large numbers of items. It is also the first step toward an automatic thesaurus generator
    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
  2. Taylor, S.L.: Integrating natural language understanding with document structure analysis (1994) 0.02 
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    Abstract
    Document understanding, the interpretation of a document from its image form, is a technology area which benefits greatly from the integration of natural language processing with image processing. Develops a prototype of an Intelligent Document Understanding System (IDUS) which employs several technologies: image processing, optical character recognition, document structure analysis and text understanding in a cooperative fashion. Discusses those areas of research during development of IDUS where it is found that the most benefit from the integration of natural language processing and image processing occured: document structure analysis, OCR correction, and text analysis. Discusses 2 applications which are supported by IDUS: text retrieval and automatic generation of hypertext links
  3. Thiel, T.J.: Automated indexing of information stored on optical disk electronic document image management systems (1994) 0.02 
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    Source
    Encyclopedia of library and information science. Vol.54, [=Suppl.17]
  4. Gödert, W.: Detecting multiword phrases in mathematical text corpora (2012) 0.02 
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    Abstract
    We present an approach for detecting multiword phrases in mathematical text corpora. The method used is based on characteristic features of mathematical terminology. It makes use of a software tool named Lingo which allows to identify words by means of previously defined dictionaries for specific word classes as adjectives, personal names or nouns. The detection of multiword groups is done algorithmically. Possible advantages of the method for indexing and information retrieval and conclusions for applying dictionary-based methods of automatic indexing instead of stemming procedures are discussed.
  5. Salton, G.; Buckley, C.: Approaches to global text analysis (1990) 0.02 
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    Abstract
    Current approaches to the analysis of natural language text are not viable for documents of unrestricted scope. A global text analysis system is proposed designed to identify homogeneous text environments in which the meaning of text words and phrases remains unambiguous, and useful term relationships may be automatically determined. The proposed methods include document clustering methods, as well as comparisons of local document excerpts in specified global contexts, leading to structured text representations in which similar texts, or text excerpts, are appropriately linked
    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
  6. Paijmans, H.: Comparing the document representation of two IR-systems : CLARIT and TOPIC (1993) 0.02 
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    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
    Source
    Journal of the American Society for Information Science. 44(1993) no.7, S.383-392
  7. Blank, I.; Rokach, L.; Shani, G.: Leveraging metadata to recommend keywords for academic papers (2016) 0.02 
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    Abstract
    Users of research databases, such as CiteSeerX, Google Scholar, and Microsoft Academic, often search for papers using a set of keywords. Unfortunately, many authors avoid listing sufficient keywords for their papers. As such, these applications may need to automatically associate good descriptive keywords with papers. When the full text of the paper is available this problem has been thoroughly studied. In many cases, however, due to copyright limitations, research databases do not have access to the full text. On the other hand, such databases typically maintain metadata, such as the title and abstract and the citation network of each paper. In this paper we study the problem of predicting which keywords are appropriate for a research paper, using different methods based on the citation network and available metadata. Our main goal is in providing search engines with the ability to extract keywords from the available metadata. However, our system can also be used for other applications, such as for recommending keywords for the authors of new papers. We create a data set of research papers, and their citation network, keywords, and other metadata, containing over 470K papers with and more than 2 million keywords. We compare our methods with predicting keywords using the title and abstract, in offline experiments and in a user study, concluding that the citation network provides much better predictions.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.12, S.3073-3091
  8. Faraj, N.: Analyse d'une methode d'indexation automatique basée sur une analyse syntaxique de texte (1996) 0.02 
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    Abstract
    Evaluates an automatic indexing method based on syntactical text analysis combined with statistical analysis. Tests many combinations for the choice of term categories and weighting methods. The experiment, conducted on a software engineering corpus, shows systematic improvement in the use of syntactic term phrases compared to using only individual words as index terms
    Footnote
    Übers. d. Titels: Analysis of an automatic indexing method based on syntactic analysis of text
    Source
    Canadian journal of information and library science. 21(1996) no.1, S.1-21
  9. Pritchard-Schoch, T.: Natural language comes of age (1993) 0.02 
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    Abstract
    Discusses natural languages and the natural language implementations of Westlaw's full-text legal documents, Westlaw Is Natural. Natural language is not aritificial intelligence but a hybrid of linguistics, mathematics and statistics. Provides 3 classes of retrieval models. Explains how Westlaw processes an English query. Assesses WIN. Covers WIN enhancements; the natural language features of Congressional Quarterly's Washington Alert using a document for a query; the personal librarian front end search software and Dowquest from Dow Jones news/retrieval. Conmsiders whether natural language encourages fuzzy thinking and whether Boolean logic will still be needed
  10. Mongin, L.; Fu, Y.Y.; Mostafa, J.: Open Archives data Service prototype and automated subject indexing using D-Lib archive content as a testbed (2003) 0.02 
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    Abstract
    The Indiana University School of Library and Information Science opened a new research laboratory in January 2003; The Indiana University School of Library and Information Science Information Processing Laboratory [IU IP Lab]. The purpose of the new laboratory is to facilitate collaboration between scientists in the department in the areas of information retrieval (IR) and information visualization (IV) research. The lab has several areas of focus. These include grid and cluster computing, and a standard Java-based software platform to support plug and play research datasets, a selection of standard IR modules and standard IV algorithms. Future development includes software to enable researchers to contribute datasets, IR algorithms, and visualization algorithms into the standard environment. We decided early on to use OAI-PMH as a resource discovery tool because it is consistent with our mission.
  11. Griffiths, A.; Luckhurst, H.C.; Willett, P.: Using interdocument similarity information in document retrieval systems (1986) 0.02 
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    Source
    Journal of the American Society for Information Science. 37(1986) no.1, S.3-11
  12. Hlava, M.M.K.; Hainebach, R.: Machine aided indexing : European Parliament study and results (1996) 0.02 
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    Abstract
    Reports on a pilot study of the application of Access Innovations' machine aided indexing (MAI) system on the European Parliament's full text materials. Describes how the knowledge base used by the MAI software is created, and gives an evaluation of the system
    Source
    Proceedings of the 17th National Online Meeting 1996, New York, 14-16 May 1996. Ed.: M.E. Williams
  13. Samstag-Schnock, U.; Meadow, C.T.: PBS: an ecomical natural language query interpreter (1993) 0.02 
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    Abstract
    Reports on the design and implementation of the information searching and retrieval software, PBS (Parsing, Boolean recognition, Stemming) for the front end OAK 2, a new version of OAK developed at Toronto Univ. OAK 2 is a research tool for user behaviour studies. PBS receives natural language search statements from an end user and identifies search facets and implied Boolean logic operators
    Source
    Journal of the American Society for Information Science. 44(1993) no.5, S.265-272
  14. Alexander, M.: Automatic indexing of document images using Excalibur EFS (1995) 0.02 
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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
  15. Schuegraf, E.J.; Bommel, M.F.van: ¬An automatic document indexing system based on cooperating expert systems : design and development (1993) 0.02 
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    Abstract
    Discusses the design of an automatic indexing system based on two cooperating expert systems and the investigation related to its development. The design combines statistical and artificial intelligence techniques. Examines choice of content indicators, the effect of stemming and the identification of characteristic vocabularies for given subject areas. Presents experimental results. Discusses the application of machine learning algorithms to the identification of vocabularies
    Source
    Canadian journal of information and library science. 18(1993) no.2, S.32-50
  16. Renz, M.: Automatische Inhaltserschließung im Zeichen von Wissensmanagement (2001) 0.01 
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    Abstract
    Methoden der automatischen Inhaltserschließung werden seit mehr als 30 Jahren entwickelt, ohne in luD-Kreisen auf merkliche Akzeptanz zu stoßen. Gegenwärtig führen jedoch die steigende Informationsflut und der Bedarf an effizienten Zugriffsverfahren im Informations- und Wissensmanagement in breiten Anwenderkreisen zu einem wachsenden Interesse an diesen Methoden, zu verstärkten Anstrengungen in Forschung und Entwicklung und zu neuen Produkten. In diesem Beitrag werden verschiedene Ansätze zu intelligentem und inhaltsbasiertem Retrieval und zur automatischen Inhaltserschließung diskutiert sowie kommerziell vertriebene Softwarewerkzeuge und Lösungen präsentiert. Abschließend wird festgestellt, dass in naher Zukunft mit einer zunehmenden Automatisierung von bestimmten Komponenten des Informations- und Wissensmanagements zu rechnen ist, indem Software-Werkzeuge zur automatischen Inhaltserschließung in den Workflow integriert werden
    Date
    22. 3.2001 13:14:48
  17. Hodge, G.M.: Computer-assisted database indexing : the state-of-the-art (1994) 0.01 
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    Abstract
    Discusses the state-of-the art of computer indexing, defines indexing and computer assistance, describes the reasons for renewed interest. Identifies the types of computer support in use using selected operational systems, describes the integration of various computer supports in one databases production system, and speculates on the future
  18. Advances in intelligent retrieval: Proc. of a conference ... Wadham College, Oxford, 16.-17.4.1985 (1986) 0.01 
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    Content
    Enthält die Beiträge: ADDIS, T.: Extended relational analysis: a design approach to knowledge-based systems; PARKINSON, D.: Supercomputers and non-numeric processing; McGREGOR, D.R. u. J.R. MALONE: An architectural approach to advances in information retrieval; ALLEN, M.J. u. O.S. HARRISON: Word processing and information retrieval: some practical problems; MURTAGH, F.: Clustering and nearest neighborhood searching; ENSER, P.G.B.: Experimenting with the automatic classification of books; TESKEY, N. u. Z. RAZAK: An analysis of ranking for free text retrieval systems; ZARRI, G.P.: Interactive information retrieval: an artificial intelligence approach to deal with biographical data; HANCOX, P. u. F. SMITH: A case system processor for the PRECIS indexing language; ROUAULT, J.: Linguistic methods in information retrieval systems; ARAGON-RAMIREZ, V. u. C.D. PAICE: Design of a system for the online elucidation of natural language search statements; BROOKS, H.M., P.J. DANIELS u. N.J. BELKIN: Problem descriptions and user models: developing an intelligent interface for document retrieval systems; BLACK, W.J., P. HARGREAVES u. P.B. MAYES: HEADS: a cataloguing advisory system; BELL, D.A.: An architecture for integrating data, knowledge, and information bases
  19. Banerjee, K.; Johnson, M.: Improving access to archival collections with automated entity extraction (2015) 0.01 
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    Abstract
    The complexity and diversity of archival resources make constructing rich metadata records time consuming and expensive, which in turn limits access to these valuable materials. However, significant automation of the metadata creation process would dramatically reduce the cost of providing access points, improve access to individual resources, and establish connections between resources that would otherwise remain unknown. Using a case study at Oregon Health & Science University as a lens to examine the conceptual and technical challenges associated with automated extraction of access points, we discuss using publically accessible API's to extract entities (i.e. people, places, concepts, etc.) from digital and digitized objects. We describe why Linked Open Data is not well suited for a use case such as ours. We conclude with recommendations about how this method can be used in archives as well as for other library applications.
  20. Chartron, G.; Dalbin, S.; Monteil, M.-G.; Verillon, M.: Indexation manuelle et indexation automatique : dépasser les oppositions (1989) 0.01 
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    Abstract
    Report of a study comparing 2 methods of indexing: LEXINET, a computerised system for indexing titles and summaries only; and manual indexing of full texts, using the thesaurus developed by French Electricity (EDF). Both systems were applied to a collection of approximately 2.000 documents on artifical intelligence from the EDF data base. The results were then analysed to compare quantitative performance (number and range of terms) and qualitative performance (ambiguity of terms, specificity, variability, consistency). Overall, neither system proved ideal: LEXINET was deficient as regards lack of accessibility and excessive ambiguity; while the manual system gave rise to an over-wide variation of terms. The ideal system would appear to be a combination of automatic and manual systems, on the evidence produced here.

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