Number of found records: 11
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Universidad de Columbia |
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Columbia Natural Language Processing Group |
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Universidad de Columbia. |
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On line ( 15/06/2004) |
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Web site of Columbia Natural Language Processing Group that offers information about the research group, projects, researchs topics, documents and software. |
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natural language processing; computational linguistic; summarization; retrieval information; research group |
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ANDERSON, James D. |
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Standards for Indexing: Revising the American National Standard Guidelines Z39.4. |
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Journal of the American Society for Information Science, 1994, vol. 45, n.8, pp.628-36. |
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On line (10/05/2005) |
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Discusses the nature of standards as tools to promote compatibility and improve practice, the role of research versus expert opinion in the creation of standards, the changing scope of standards for indexes in the face of the changing indexing environment, with the increasing use of automatic indexing, electronic displays, and electronic searching of non-displayed indexes. it describes the current draft of the NISO American Standard Guidelines for Indexes in Information Retrieval (Z39.4)) in terms of three fundamental requirements: syntax, vocabulary management, and comprehensive planning and design. Comments on the nebulous concept of good or accurate indexing and whether and how standards can be used advantageously. (AU) |
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Indexing-; Standards-; USA-; American-National-Standard-Guidelines-Z394 |
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DAVIS, Randall; SHROBE, Howard; SZOLOVITS, Peter |
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What is a Knowledge Representation? |
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AI Magazine, 1993, vol.14, n.1, pp. 17-33 |
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On line ( 15/06/2004) |
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Although knowledge representation is one of the central and in some ways most familiar concepts in AI, the most fundamental question about it--What is it?--has rarely been answered directly. Numerous papers have lobbied for one or another variety of representation, other papers have argued for various properties a representation should have, while still others have focused on properties that are important to the notion of representation in general. In this paper we go back to basics to address the question directly. We believe that the answer can best be understood in terms of five important and distinctly different roles that a representation plays, each of which places different and at times conflicting demands on the properties a representation should have. We argue that keeping in mind all five of these roles provides a usefully broad perspective that sheds light on some longstanding disputes and can invigorate both research and practice in the field. (AU) |
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Knowledge representation; Artificial intelligence |
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IFIP |
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IFIP: International Federation for Information Processing |
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On line ( 15/06/2004) |
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IFIP is a non-governmental, non-profit umbrella organization for national societies working in the field of information processing. It was established in 1960 under the auspices of UNESCO as an aftermath of the first World Computer Congress held in Paris in 1959. Today, IFIP has several types of Members and maintains friendly connections to specialized agencies of the UN system and non-governmental organizations. Technical work, which is the heart of IFIP's activity, is managed by a series of Technical Committees. (Web) |
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information processing; organization; information technology; information systems; software |
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