Search (12 results, page 1 of 1)

Liddy, E.D.: Natural language processing for information retrieval and knowledge discovery (1998) 0.08

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Abstract: Natural language processing (NLP) is a powerful technology for the vital tasks of information retrieval (IR) and knowledge discovery (KD) which, in turn, feed the visualization systems of the present and future and enable knowledge workers to focus more of their time on the vital tasks of analysis and prediction
Date: 22. 9.1997 19:16:05
Imprint: Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science
Source: Visualizing subject access for 21st century information resources: Papers presented at the 1997 Clinic on Library Applications of Data Processing, 2-4 Mar 1997, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign. Ed.: P.A. Cochrane et al

Liddy, E.D.: Natural language processing for information retrieval (2009) 0.04

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Abstract: Natural language processing (NLP) is the computerized approach to analyzing text that is based on both a set of theories and a set of technologies. Although NLP is a relatively recent area of research and application, compared with other information technology approaches, there have been sufficient successes to date that suggest that NLP-based information access technologies will continue to be a major area of research and development in information systems now and into the future.
Source: Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates

Liddy, E.D.: ¬An alternative representation for documents and queries (1993) 0.02

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Abstract: Describes an alternative method of representation for documents and queries in information retrieval systems to the 2 most common methods: free text, natural language representation and controlled language representation. The alternative method combines the advantage of both traditional approaches and overcomes the difficulties associated with each. The scheme was developed for use with Longman's Dictionary of Contemporary English and uses a computerized version of the dictionary for the automatic generation of summary level semantic representations of each document and query. The system tags each word in a document with the appropriate Subject Field Code (SFC) from the dictionary and the SFCs are summed and normalized to produce a weighted, fixed length vector of the SFC. The search system matches the query SFC vector to the document SFC vectors in the database. The documents are then ranked on the basis of their vector's similarity to the query
Imprint: Medford, NJ : Learned Information

Hembrooke, H.A.; Granka, L.A.; Gay, G.K.; Liddy, E.D.: ¬The effects of expertise and feedback an search term selection and subsequent learning (2005) 0.02
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Abstract

Query formation and expansion is an integral part of nearly every effort to search for information. In the work reported here we investigate the effects of domain knowledge and feedback an search term selection and reformation. We explore differences between experts and novices as they generate search terms over 10 successive trials and under two feedback conditions. Search attempts were coded an quantitative dimensions such as the number of unique terms and average time per trial, and as a whole in an attempt to characterize the user's conceptual map for the topic under differing conditions of participant-defined domain expertise. Nine distinct strategies were identified. Differences emerged as a function of both expertise and feedback. In addition, strategic behavior varied depending an prior search conditions. The results are considered from both a theoretical and design perspective, and have direct implications for digital library usability and metadata generation, and query expansion systems.

Source

Journal of the American Society for Information Science and Technology. 56(2005) no.8, S.861-871

Oddy, R.N.; Liddy, E.D.; Balakrishnan, B.; Bishop, A.; Elewononi, J.; Martin, E.: Towards the use of situational information in information retrieval (1992) 0.01

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Liddy, E.D.; Diamond, T.; McKenna, M.: DR-LINK in TIPSTER (2000) 0.01

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Source: Information retrieval. 3(2000), S.291-311

Jörgensen, C.; Liddy, E.D.: Information access or information anxiety? : an explanatory evaluation of book index features (1996) 0.01

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Liddy, E.D.; Jorgensen, C.: Modelling information seeking behaviours in index use (1993) 0.01
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Abstract

Part of a larger study which aims to: empirically investigate book-index usage, behaviours, and the extent to which specific print index features affect a user's search for information; and to examine these features in an electronic environment and to determine the optimum specifications for indexes in electronic texts by gathering evidence from a controlled user study. Provides an overview of the research project, focusing on a subset of the results from the study of hard-copy book indexes. Describes observable behaviours of a sample of users when consulting different variations of a hard copy book index. Suggests a preliminary model at 3 levels of abstraction repressing users' behaviours when using a book index

Imprint

Medford, NJ : Learned Information

Source

Integrating technologies - converging professions: proceedings of the 56th Annual Meeting of the American Society for Information Science, Columbus, OH, 24-28 October 1993. Ed.: S. Bonzi

Liddy, E.D.: Enhanced text retrieval using natural language processing (1998) 0.01

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Source: Bulletin of the American Society for Information Science. 24(1998), April/May, S.14-16

Jorgensen, C.; Liddy, E.D.: ¬An analysis of information seeking behaviours in index use, or opening Pandora's Box (1994) 0.01
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Abstract

Gives an overview of a research project which had aimed to: empirically investigate book-index usage behaviours and the extent to which specific print index features affect a user's search for information; and to examine these same features in an electronic environment. Aims to determine the optimum specifications for indexes in electronic texts by gathering evidence from a controlled user study. Presents a subset of results from index use in both print and electronic formats. Suggests a preliminay model representing users' behaviours when using an index and suggests implications for system design

Imprint

Medford, NJ : Learned Information
Liddy, E.D.; Paik, W.; McKenna, M.; Yu, E.S.: ¬A natural language text retrieval system with relevance feedback (1995) 0.01
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Abstract

Outlines a fully integrated retrieval engine that processes documents and queries at the multiple, complex linguistic levels that humans use to construe meaning. Currently undergoing beta site trials, the DR-LINK natural language text retrieval system allows searchers to state queries as fully formed, natural sentences. The meaning and matching of both queries and documents is accomplished at the conceptual level of human expression, not by the simple concurrence of keywords. Furthermore, the natural browsing behaviour of information searchers is accomodated by allowing documents identified as potentially relevant by the explicit semantics of the system to be used as relevance feedback queries which provide an appropriate implicit semantic representation of the information seeker's need

Imprint

Medford, NJ : Learned Information

Weiner, M.L.; Liddy, E.D.: Intelligent text processing, and intelligent tradecraft (1997) 0.00

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Imprint: The Hague : International Federation for Information and Documentation (FID)

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