Proposes an argumentation-based method for information retrieval that involves representing a scholarly article by means of rhetorical structure rather than by a semantic representation of content. Topics addressed include problems with indexing practices, the argumentative nature of articles, rhetoric as an information categorizing schema, and…

The fifth in a series of articles on microcomputer software for information storage and retrieval describes characteristics of and presents test results for seven programs in the following categories: personal information managers, including 3by5/RediReference, askSam, Dayflo Tracker, and Ize; Personal Librarian, a relevance ranking program; and…

Describes the development of an information retrieval system designed for nonspecialist users that is based on the binary vector model. The syntactic structure of phrases used for indexing is examined, queries using an experimental collection of documents are described, and precision values are examined. (19 references) (LRW)

Discussion of clustering of documents and queries in information retrieval systems focuses on the use of a genetic algorithm to adapt subject descriptions so that documents become more effective in matching relevant queries. Various types of clustering are explained, and simulation experiments used to test the genetic algorithm are described. (27…

Reports preliminary results of a research project that investigated the effectiveness of a new technique for information retrieval interfaces called colinked descriptors, based on the concept of cocited references in the field of bibliometrics. Examples of colinked descriptors from the "Thesaurus of ERIC Descriptors" are presented.…

Describes a theoretical model based on binary vectors that was developed to improve relevance in information retrieval systems. Earlier probabilistic models are examined, quadratic and linear discriminant functions are discussed, relationships between queries and documents are considered, and further research is suggested. (15 references) (LRW)

Discussion of relevance in information retrieval focuses on manifestations of relevance within a system of relevance. Discusses intention, context, inference, and interaction; explains the concepts of affective, motivational, situational, and socio-cognitive relevance; and proposes a consolidated model of relevance manifestations. (Author/LRW)

Explains how a competition-based connectionist model for diagnostic problem-solving is adapted to information retrieval. Topics include probabilistic causal networks; Bayesian networks; the neural network model; empirical studies of test collections that evaluated retrieval performance; precision results; and the use of a thesaurus to provide…

Integrates structured data and text using the unchanged, standard relational model. The performance of a parallel relational database system and the effect of query reduction on accuracy were tested, and it was found that queries can be reduced prior to their implementation without incurring significant loss in precision/recall. (AEF)

Introduces a new concept and technique for information retrieval called colinked descriptors. Highlights include bibliometrics and information retrieval, cited references and linked thesaurus terms, cocited references, examples of colinked descriptors in the "Thesaurus of ERIC Descriptors," and experiments that tested the colinked…

Describes a study that sought to understand the pragmatic or operational nature of relevance by examining five individuals' pertinence behavior. Kelly's Personal Construct Theory is applied to the concept of pertinence, personal constructs concerning pertinence are examined, and implications for information science are considered. (Contains nine…

Discusses why it is important to think critically about web searching; how the size of the web affects searching; how the quality of material on the web affects searching; some good approaches to searching effectively; and how searching can become truly productive inquiring. Notes various data on the size of the web. (SR)

Discussion of user-relevance judgments in information retrieval focuses on findings from four separate studies of relevance judgments by 55 users conducting their initial online search on a particular information problem. Highlights include a theoretical framework, models of relevance, and implications for information-retrieval system design and…

Introduces the basic ideas that underpin applications of machine learning to information retrieval. Describes applications of machine learning to text categorization. Considers how machine learning can be applied to the query-formulation process. Examines methods of document filtering, where the user specifies a query that is to be applied to an…

Discusses the difficulty of locating relevant information on the Web and studies two approaches to addressing the low precision and poor presentation of search results: meta-search and document categorization. Introduces MetaSpider, a meta-search engine, and presents results of a user evaluation study that compared three search engines.…