Search (9 results, page 1 of 1)

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Content

Enthält die Kapitel: 1. Basic concepts of information retrieval systems, 2. Database technology, 3. Bibliographic formats, 4. Subject analysis and representation, 5. Automatic indexing and file organization, 6. Vocabulary control, 7. Abstracts and abstracting, 8. Searching and retrieval, 9. Users of information retrieval, 10. Evaluation of information retrieval systems, 11. Evaluation experiments, 12. Online information retrieval, 13. CD-ROM information retrieval, 14. Trends in CD-ROM and online information retrieval, 15. Multimedia information retrieval, 16. Hypertext and hypermedia systems, 17. Intelligent information retrieval, 18. Natural language processing and information retrieval, 19. Natural language interfaces, 20. Natural language text processing and retrieval systems, 21. Problems and prospects of natural language processing systems, 22. The Internet and information retrieval, 23. Trends in information retrieval.

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Date

2. 4.2000 18:01:22

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Source

Knowledge organization. 22(1995) no.1, S.18-22

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Abstract

Arguing that environmental sustainability is a growing concern for digital information systems and services, this article proposes a simple method for estimation of the energy and environmental costs of digital libraries and information services. It is shown that several factors contribute to the overall energy and environmental costs of information and communication technology (ICT) in general and digital information systems and services in particular. It is also shown that end-user energy costs play a key role in the overall environmental costs of a digital library or information service. It is argued that appropriate user research, transaction log analysis, user modeling, and better design and delivery of services can significantly reduce the user interaction time, and thus the environmental costs, of digital information systems and services, making them more sustainable.

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Abstract

Discusses the issues involved in the development of data formats for computerized information retrieval systems. Integrated databases capable of holding both bibliographic and factual information, in a single database structure, are more convenient for searching and retrieval by end users. Several bibliographic formats have been developed and are used for these bibliographic control puposes. Reviews features of 6 major bibliographic formats: USMARC, UKMARC, UNIMARC, CCF, MIBIS and ABNCD are reviewed. Only 2 formats: CCF and ABNCD are capable of holding both bibliographic and factual information and supporting the design of integrated databases. The comparison suggests that, while CCF makes more detailed provision for bibliographic information, ABNCD makes better provision for factual information such as profiles of institutions, information systems, projects and human experts

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Content

1. Introduction Web search engines and digital libraries usually expect the users to use search terms that most accurately represent their information needs. Finding the most appropriate search terms to represent an information need is an age old problem in information retrieval. Keyword or phrase search may produce good search results as long as the search terms or phrase(s) match those used by the authors and have been chosen for indexing by the concerned information retrieval system. Since this does not always happen, a large number of false drops are produced by information retrieval systems. The retrieval results become worse in very large systems that deal with millions of records, such as the Web search engines and digital libraries. Vocabulary control tools are used to improve the performance of text retrieval systems. Thesauri, the most common type of vocabulary control tool used in information retrieval, appeared in the late fifties, designed for use with the emerging post-coordinate indexing systems of that time. They are used to exert terminology control in indexing, and to aid in searching by allowing the searcher to select appropriate search terms. A large volume of literature exists describing the design features, and experiments with the use, of thesauri in various types of information retrieval systems (see for example, Furnas et.al., 1987; Bates, 1986, 1998; Milstead, 1997, and Shiri et al., 2002).

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Abstract

Natural Language Processing (NLP) is an area of research and application that explores how computers can be used to understand and manipulate natural language text or speech to do useful things. NLP researchers aim to gather knowledge an how human beings understand and use language so that appropriate tools and techniques can be developed to make computer systems understand and manipulate natural languages to perform desired tasks. The foundations of NLP lie in a number of disciplines, namely, computer and information sciences, linguistics, mathematics, electrical and electronic engineering, artificial intelligence and robotics, and psychology. Applications of NLP include a number of fields of study, such as machine translation, natural language text processing and summarization, user interfaces, multilingual and cross-language information retrieval (CLIR), speech recognition, artificial intelligence, and expert systems. One important application area that is relatively new and has not been covered in previous ARIST chapters an NLP relates to the proliferation of the World Wide Web and digital libraries.

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Abstract

Computerized text retrieval and library management systems have not yet taken a desired shape in Indian libraries, though efforts are being made in this direction. Reviews the current situation in Indian libraries by means of a survey of 10 selected indigenous software packages. Briefly discusses the underlying framework and text retrieval and library management facilities in these packages and concludes that CDS/ISIS along with SANJAY with sonme further modifications, might prove to be the most suitable package for most Indian libraries

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Abstract

Farradane's theory of relational analysis has wide applications in information retrieval. The major areas of application cover their use in retrospective searches, semantic analysis of information, concept organisation and control, efficiency as an information retrieval tool, multilingual indexing tool, in SDI term relations in thesauri, study of nature of subjects, computerised indexing systems, analysis and measuring of information and organisation of current information. Most of the applications were in scientific subjects and the data bases considered were too small to generalise. Suggests 5 new areas of research on relational indexing: compilations of a detailed manual; application in scientific, social sciences, and humanities literature; application in study of the nature of subject literature; comparative efficiency of relational indeximg; and a compilation of a relational thesaurus.