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El-Sherbini, M.A.: Cataloging and classification : review of the literature 2005-06 (2008)
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- 10. 9.2000 17:38:22
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Miksa, S.D.: ¬The challenges of change : a review of cataloging and classification literature, 2003-2004 (2007)
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- 10. 9.2000 17:38:22
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Khoo, S.G.; Na, J.-C.: Semantic relations in information science (2006)
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- Abstract
- Linguists in the structuralist tradition (e.g., Lyons, 1977; Saussure, 1959) have asserted that concepts cannot be defined on their own but only in relation to other concepts. Semantic relations appear to reflect a logical structure in the fundamental nature of thought (Caplan & Herrmann, 1993). Green, Bean, and Myaeng (2002) noted that semantic relations play a critical role in how we represent knowledge psychologically, linguistically, and computationally, and that many systems of knowledge representation start with a basic distinction between entities and relations. Green (2001, p. 3) said that "relationships are involved as we combine simple entities to form more complex entities, as we compare entities, as we group entities, as one entity performs a process on another entity, and so forth. Indeed, many things that we might initially regard as basic and elemental are revealed upon further examination to involve internal structure, or in other words, internal relationships." Concepts and relations are often expressed in language and text. Language is used not just for communicating concepts and relations, but also for representing, storing, and reasoning with concepts and relations. We shall examine the nature of semantic relations from a linguistic and psychological perspective, with an emphasis on relations expressed in text. The usefulness of semantic relations in information science, especially in ontology construction, information extraction, information retrieval, question-answering, and text summarization is discussed. Research and development in information science have focused on concepts and terms, but the focus will increasingly shift to the identification, processing, and management of relations to achieve greater effectiveness and refinement in information science techniques. Previous chapters in ARIST on natural language processing (Chowdhury, 2003), text mining (Trybula, 1999), information retrieval and the philosophy of language (Blair, 2003), and query expansion (Efthimiadis, 1996) provide a background for this discussion, as semantic relations are an important part of these applications.
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Dumais, S.T.: Latent semantic analysis (2003)
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- Abstract
- With the advent of large-scale collections of full text, statistical approaches are being used more and more to analyze the relationships among terms and documents. LSA takes this approach. LSA induces knowledge about the meanings of documents and words by analyzing large collections of texts. The approach simultaneously models the relationships among documents based an their constituent words, and the relationships between words based an their occurrence in documents. By using fewer dimensions for representation than there are unique words, LSA induces similarities among terms that are useful in solving the information retrieval problems described earlier. LSA is a fully automatic statistical approach to extracting relations among words by means of their contexts of use in documents, passages, or sentences. It makes no use of natural language processing techniques for analyzing morphological, syntactic, or semantic relations. Nor does it use humanly constructed resources like dictionaries, thesauri, lexical reference systems (e.g., WordNet), semantic networks, or other knowledge representations. Its only input is large amounts of texts. LSA is an unsupervised learning technique. It starts with a large collection of texts, builds a term-document matrix, and tries to uncover some similarity structures that are useful for information retrieval and related text-analysis problems. Several recent ARIST chapters have focused an text mining and discovery (Benoit, 2002; Solomon, 2002; Trybula, 2000). These chapters provide complementary coverage of the field of text analysis.
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Nielsen, M.L.: Thesaurus construction : key issues and selected readings (2004)
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- Date
- 18. 5.2006 20:06:22
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Weiss, A.K.; Carstens, T.V.: ¬The year's work in cataloging, 1999 (2001)
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- Date
- 10. 9.2000 17:38:22
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Chambers, S.; Myall, C.: Cataloging and classification : review of the literature 2007-8 (2010)
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- 10. 9.2000 17:38:22
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Deokattey, S.; Sharma, S.B.K.; Kumar, G.R.; Bhanumurthy, K.: Knowledge organization research : an overview (2015)
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- Date
- 22. 6.2015 16:13:38
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Genereux, C.: Building connections : a review of the serials literature 2004 through 2005 (2007)
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- 10. 9.2000 17:38:22
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Martin, K.E.; Mundle, K.: Positioning libraries for a new bibliographic universe (2014)
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- 10. 9.2000 17:38:22
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Corbett, L.E.: Serials: review of the literature 2000-2003 (2006)
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