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Date

22. 9.2007 15:41:14

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Source

Information processing and management. 33(1997) no.2, S.233-242

Year

1997

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Date

26.12.2011 13:22:07

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Date

22. 8.2014 17:12:54

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Abstract

In a very real sense, this special issue on Knowledge Organization Systems and Services is concerned with new applications, new contexts and new twists of old themes and problems. We are concerned with diverse attempts to apply the outcomes of much work over the years in artificial subject languages and their intellectual structures to facilitate access to digital information in various settings. This issue has its origins in NKOS workshops, held over the last two years in Bath, Vienna, Madrid and Denver, although the majority of contributions resulted from an open call for papers, disseminated in October 2005. NKOS (http://nkos.slis.kent.edu/) is an informal network whose general aim is to enable knowledge organization systems (KOS) to act as networked information services (both machine-to-machine and human facing), supporting the description and retrieval of information resources on the Internet. Since 1997, there has been an NKOS workshop each year, at either the JCDL or ECDL conference (2005 saw an NKOS workshop at both conferences and also at Dublin Core). Previous NKOS-related special issues have appeared in the online Journal of Digital Information in 2001 and 2004 (Hill and Koch 2001, Tudhope and Koch 2004).

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Content

1. Introduction The need for research into the application of linguistic techniques in Information Retrieval (IR) in general, and a similar need in faceted Knowledge Organization Systems (KOS) has been indicated by various authors. Smeaton (1997) points out the inherent limitations of conventional approaches to IR based an "bags of words", mainly difficulties caused by lexical ambiguity in the words concerned, and goes an to suggest the possibility of using Natural Language Processing (NLP) in query formulation. Past experience with a faceted retrieval system highlighted the need for integrating the linguistic perspective in order to fully utilise the potential of a KOS (Tudhope et al." 2002). The present research seeks to address some of these needs in using NLP to improve the efficacy of KOS tools in query and retrieval systems. Syntactic parsing and part-of-speech tagging can substantially reduce lexical ambiguity through homograph disambiguation. Given the two strings "1 fable the motion" and "I put the motion an the fable", for instance, the parser used in this research clearly indicates that 'fable' in the first string is a verb, while 'table' in the second string is a noun, a distinction that would be missed in the "bag of words" approach. This syntactic disambiguation enables a more precise matching from free text to the controlled vocabulary of a KOS and vice versa. The use of a general linguistic resource, namely Roget's Thesaurus of English Words and Phrases (RTEWP), as an intermediary in this process, is investigated. The adaptation of the Link parser (Sleator & Temperley, 1993) to the purposes of the research is reported. The design and implementation of the early practical stages of the project are described, and the results of the initial experiments are presented and evaluated. Applications of the techniques developed are foreseen in the areas of query disambiguation, information retrieval and automatic indexing. In the first section of the paper a brief review of the literature and relevant current work in the field is presented. The second section includes reports an the development of algorithms, the construction of data sets and theoretical and experimental work undertaken to date. The third section evaluates the results obtained, and outlines directions for future research.