Search (203 results, page 11 of 11)

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Source

Journal of the American Society for Information Science. 49(1998) no.11, S.973-982

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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

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Abstract

The purpose of this paper is to determine some of the structural features of the classification schemes used in the directories (guides, channels) of search engines to organise information sources on the Internet. Ten search engines were examined at the main class level and the full hierarchies of a sample of three specific subjects were analysed in four of these engines, namely Excite, Infoseek, Lycos and Yahoo! It was found that there are major differences between the main classes of the search engines and those found in standard library schemes like Dewey, UDC and LCC. There are large gaps in subject coverage at main class level in the search engines and the general tendency is to use a topic-based approach in the formation of classes, rather than a discipline-based approach. The subdivision of the main classes is according to hierarchical tree structures, but a number of anomalies in this regard were identified. Another deviation from library classification theory is that various principles of division are employed to form classes at the same hierarchical level. In an analysis of citation orders many examples were found that conform to the principles followed in library classifications, but a number of inconsistencies in this regard were also noted