Search (5 results, page 1 of 1)

  • × theme_ss:"Klassifikationssysteme im Online-Retrieval"
  • × theme_ss:"Suchmaschinen"
  • × year_i:[1990 TO 2000}
  1. Jenkins, C.: Automatic classification of Web resources using Java and Dewey Decimal Classification (1998) 0.13
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    Abstract
    The Wolverhampton Web Library (WWLib) is a WWW search engine that provides access to UK based information. The experimental version developed in 1995, was a success but highlighted the need for a much higher degree of automation. An interesting feature of the experimental WWLib was that it organised information according to DDC. Discusses the advantages of classification and describes the automatic classifier that is being developed in Java as part of the new, fully automated WWLib
    Date
    1. 8.1996 22:08:06
    Footnote
    Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia; vgl. auch: http://www7.scu.edu.au/programme/posters/1846/com1846.htm.
    Source
    Computer networks and ISDN systems. 30(1998) nos.1/7, S.646-648
  2. Ardo, A.; Lundberg, S.: ¬A regional distributed WWW search and indexing service : the DESIRE way (1998) 0.12
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    Abstract
    Creates an open, metadata aware system for distributed, collaborative WWW indexing. The system has 3 main components: a harvester (for collecting information), a database (for making the collection searchable), and a user interface (for making the information available). all components can be distributed across networked computers, thus supporting scalability. The system is metadata aware and thus allows searches on several fields including title, document author and URL. Nordic Web Index (NWI) is an application using this system to create a regional Nordic Web-indexing service. NWI is built using 5 collaborating service points within the Nordic countries. The NWI databases can be used to build additional services
    Date
    1. 8.1996 22:08:06
    Footnote
    Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia
    Object
    Nordic Web Index
    Source
    Computer networks and ISDN systems. 30(1998) nos.1/7, S.149-159
  3. Dodd, D.G.: Grass-roots cataloging and classification : food for thought from World Wide Web subject-oriented hierarchical lists (1996) 0.04
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    Abstract
    The explosion of the use of the Internet by the genral public, particularly via the WWW, has given rise to the proliferation of semiprofessional attempts to give some subject based access to Internet resources via hierarchical guides (hotlists) on Web search engines such as Yahoo and Magellan. Examines the structure and principles of various hierachical lists, and compares them, when possible, to broad LCC and DDC schemes, and to LCSH. Explores the approaches taken by non librarians in their efforts to organize and provide access to materials on the Internet. Focuses on the dichotomy between the hierarchical 'browse' and the analytical 'search' approaches to finding materials, as exemplified by these various attempts to organize the Internet
  4. Poynder, R.: Web research engines? (1996) 0.01
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    Abstract
    Describes the shortcomings of search engines for the WWW comparing their current capabilities to those of the first generation CD-ROM products. Some allow phrase searching and most are improving their Boolean searching. Few allow truncation, wild cards or nested logic. They are stateless, losing previous search criteria. Unlike the indexing and classification systems for today's CD-ROMs, those for Web pages are random, unstructured and of variable quality. Considers that at best Web search engines can only offer free text searching. Discusses whether automatic data classification systems such as Infoseek Ultra can overcome the haphazard nature of the Web with neural network technology, and whether Boolean search techniques may be redundant when replaced by technology such as the Euroferret search engine. However, artificial intelligence is rarely successful on huge, varied databases. Relevance ranking and automatic query expansion still use the same simple inverted indexes. Most Web search engines do nothing more than word counting. Further complications arise with foreign languages
  5. Place, E.: Internationale Zusammenarbeit bei Internet Subject Gateways (1999) 0.00
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    Date
    22. 6.2002 19:35:09