Search (72 results, page 1 of 4)

  • × theme_ss:"Automatisches Indexieren"
  1. Stankovic, R. et al.: Indexing of textual databases based on lexical resources : a case study for Serbian (2016) 0.02
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    Date
    1. 2.2016 18:25:22
    Series
    Lecture notes in computer science ; 9398
  2. Hodges, P.R.: Keyword in title indexes : effectiveness of retrieval in computer searches (1983) 0.02
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    Abstract
    A study was done to test the effectiveness of retrieval using title word searching. It was based on actual search profiles used in the Mechanized Information Center at Ohio State University, in order ro replicate as closely as possible actual searching conditions. Fewer than 50% of the relevant titles were retrieved by keywords in titles. The low rate of retrieval can be attributes to three sources: titles themselves, user and information specialist ignorance of the subject vocabulary in use, and to general language problems. Across fields it was found that the social sciences had the best retrieval rate, with science having the next best, and arts and humanities the lowest. Ways to enhance and supplement keyword in title searching on the computer and in printed indexes are discussed.
    Date
    14. 3.1996 13:22:21
  3. Hodge, G.M.: Computer-assisted database indexing : the state-of-the-art (1994) 0.02
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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
  4. Wolfekuhler, M.R.; Punch, W.F.: Finding salient features for personal Web pages categories (1997) 0.02
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1147-1156
  5. RIAO 91 : Computer aided information retrieval. Conference, Barcelona, 2.-4.5.1991 (1991) 0.02
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  6. Research and development in information retrieval : Proc., Berlin, 18.-20.5.1982 (1983) 0.01
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    Series
    Lecture notes in computer science; vol.146
  7. Rijsbergen, C.J. van: ¬A fast hierarchic clustering algorithm (1970) 0.01
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    Source
    Computer journal. 13(1970), S.324-326
  8. Gray, W.A.; Harley, A.J.: Computer assisted indexing (1971) 0.01
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  9. Greiner-Petter, A.; Schubotz, M.; Cohl, H.S.; Gipp, B.: Semantic preserving bijective mappings for expressions involving special functions between computer algebra systems and document preparation systems (2019) 0.01
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    Abstract
    Purpose Modern mathematicians and scientists of math-related disciplines often use Document Preparation Systems (DPS) to write and Computer Algebra Systems (CAS) to calculate mathematical expressions. Usually, they translate the expressions manually between DPS and CAS. This process is time-consuming and error-prone. The purpose of this paper is to automate this translation. This paper uses Maple and Mathematica as the CAS, and LaTeX as the DPS. Design/methodology/approach Bruce Miller at the National Institute of Standards and Technology (NIST) developed a collection of special LaTeX macros that create links from mathematical symbols to their definitions in the NIST Digital Library of Mathematical Functions (DLMF). The authors are using these macros to perform rule-based translations between the formulae in the DLMF and CAS. Moreover, the authors develop software to ease the creation of new rules and to discover inconsistencies. Findings The authors created 396 mappings and translated 58.8 percent of DLMF formulae (2,405 expressions) successfully between Maple and DLMF. For a significant percentage, the special function definitions in Maple and the DLMF were different. An atomic symbol in one system maps to a composite expression in the other system. The translator was also successfully used for automatic verification of mathematical online compendia and CAS. The evaluation techniques discovered two errors in the DLMF and one defect in Maple. Originality/value This paper introduces the first translation tool for special functions between LaTeX and CAS. The approach improves error-prone manual translations and can be used to verify mathematical online compendia and CAS.
    Date
    20. 1.2015 18:30:22
  10. 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
  11. Silvester, J.P.: Computer supported indexing : a history and evaluation of NASA's MAI system (1998) 0.01
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  12. Villaespesa, E.; Crider, S.: ¬A critical comparison analysis between human and machine-generated tags for the Metropolitan Museum of Art's collection (2021) 0.01
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    Abstract
    Purpose Based on the highlights of The Metropolitan Museum of Art's collection, the purpose of this paper is to examine the similarities and differences between the subject keywords tags assigned by the museum and those produced by three computer vision systems. Design/methodology/approach This paper uses computer vision tools to generate the data and the Getty Research Institute's Art and Architecture Thesaurus (AAT) to compare the subject keyword tags. Findings This paper finds that there are clear opportunities to use computer vision technologies to automatically generate tags that expand the terms used by the museum. This brings a new perspective to the collection that is different from the traditional art historical one. However, the study also surfaces challenges about the accuracy and lack of context within the computer vision results. Practical implications This finding has important implications on how these machine-generated tags complement the current taxonomies and vocabularies inputted in the collection database. In consequence, the museum needs to consider the selection process for choosing which computer vision system to apply to their collection. Furthermore, they also need to think critically about the kind of tags they wish to use, such as colors, materials or objects. Originality/value The study results add to the rapidly evolving field of computer vision within the art information context and provide recommendations of aspects to consider before selecting and implementing these technologies.
  13. Jones, R.L.: Automatic document content analysis : the AIDA project (1992) 0.01
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    Abstract
    The AIDA project is a research program being carried out by Computer Power in Canberra, Australia, in collaboration with the Australian Parliament. Its primary objective is to develop practical methods for carrying out document content analysis with minimal human intervention. The different techniques employed by AIDA to achieve its results are described
  14. Pritchard, J.: Information retrieval : smarter indexing (1991) 0.01
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    Abstract
    Describes full text retrieval (FTR) which indexes every occurrence of every word except defined 'stop' words. This permits much more sophisticated searching than with keyword indexing. Also discusses document imaging processing (DIP). Lists suppliers and users of the software and describes the experiences of ESOO's Planning Division with Computer Intertrade Ltd. (CIL) ImagePro DIP and their operational practices
  15. Lustig, G.: Automatische Indexierung : Erfahrungen und Perspektiven (1989) 0.01
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    Abstract
    Es wird zunächst ein "ideales Information-Retrieval-System" beschrieben und diskutiert. Als Kernproblem für -selbst bescheidene - Entwicklungen in die dadurch aufgezeigte Richtung wird das "Verstehen" von Texten durch den Computer angesehen, wobei je nach der Aufgabenstellung einer Systemkomponente stets nur ein partielles Verstehen erforderlich ist. Ein relativ einfaches, aber keineswegs triviales Beispiel dieser Art ist die automatische Indexierung von Referatetexten bei vorgegebenen Deskriptorensystem. Von diesem Problem werden Ansätze, Ergebnisse und Erfahrungen mitgeteilt. Darauf aufbauend werden weitere Forschungsrichtungen und Entwicklungsmöglichkeiten mitgeteilt
  16. Smart, G.: Using language analysis to manage information (1993) 0.01
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    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
  17. Haas, S.; He, S.: Toward the automatic identification of sublanguage vocabulary (1993) 0.01
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    Abstract
    Describes a method developed for automatic identification of sublanguage vocabulary words as they occur in abstracts. Describes the sublanguage vocabulary identification procedures using abstracts from computer science and library and information science as sublanguage sources. Evaluates the results using three criteria. Discuss the practical and theoretical significance of this research and plans for further experiments
  18. 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
  19. 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
  20. Mars, N.J.I.: ¬The management of scientific information, or, how to cope with the flood (1996) 0.01
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    Abstract
    Research in the Knowledge-Based Systems Group of the University of Twente in the Netherlands is aimed at reducing information overload. One approach is to support indexing by the traditional method of assigning content descriptions to find documents. A second way is to use a computer program to determine what the document says without descriptors. Discusses automated indexing and direct access to information

Years

Languages

  • e 50
  • d 20
  • f 1
  • ru 1
  • More… Less…

Types

  • a 60
  • el 5
  • s 3
  • x 3
  • m 2
  • d 1
  • More… Less…