Expands on existing concepts and notions regarding hypertext-based information retrieval. Topics include document characterization; characterization networks; query by navigation; navigation networks; and adding new links to the characterization networks with information about semantic relations. (LRW)

Presents a faster method for determining hierarchical relationships in information retrieval by using trie structures instead of a linear storage of a concept code. Highlights include case structures, a knowledge representation for natural-language understanding with semantic constraints; a compression algorithm of tries; and evaluation.…

Describes the implementation of FromTo-CLIR, a Web-based natural-language interface for cross-language information retrieval that was tested with Korean and Japanese. Proposes a method that uses a semantic category tree and collocation to resolve the ambiguity of query translation. (Author/LRW)

Discusses latent semantic indexing (LSI); considers the high cost associated with the singular value decomposition (SVD) of the large term-by-document matrix that becomes a barrier for its application to scalable information retrieval; and shows that information filtering using level search techniques can reduce the SVD computation cost for LSI.…

Discusses efforts at National Institute of Standards and Technology (NIST) to construct an information discovery tool through the fusion of hypertext and information retrieval that works by parsing a contiguous document base into smaller documents and inserting semantic links between them. Also presents a case study that evaluated user reactions.…

Discussion of image database systems focuses on semantic queries and shows how an image is abstracted into a hierarchy of entity names and features; how relations are established between entities visible in the image; and how a "fuzzy" matching technique is used to compare semantic queries to image abstractions. (Author/LRW)

Discusses automatic document classification and document retrieval systems and presents a strategy for building a morphological machine dictionary of English that infers meaning of derivations by considering morphological affixes and their semantic classification. Proposes a method for selecting compound field association terms from a large pool…

Discussion of the use of information retrieval techniques for automatic generation of semantic hypertext links focuses on automatic text summarization. Topics include World Wide Web links, text segmentation, and evaluation of text summarization by comparing automatically generated abstracts with manually prepared abstracts. (Author/LRW)

Analyzes relevance assessments of topical descriptors for bibliographic records for two dimensions: (1) a vertical conceptual hierarchy of broad to narrow descriptors, and (2) a horizontal linkage of related terms. The data were analyzed for a semantic distance and semantic direction effect as postulated by the Semantic Distance Model. (Author/LRW)

Discusses access methods in hypermedia and information retrieval and describes a research project in which similarity measures have been extended to include imprecise matching over different dimensions of structured classification schemes. The semantic similarity of information units forms the basis for the automatic construction of links and is…

Discussion of human intellectual indexing versus automatic indexing focuses on automatic indexing. Topics include keyword indexing; negative vocabulary control; counting words; comparative counting and weighting; stemming; words versus phrases; clustering; latent semantic indexing; citation indexes; bibliographic coupling; co-citation; relevance…

The grammars of natural languages may be learned by using genetic algorithm systems such as LUST (Linguistics Using Sexual Techniques) that reproduce and mutate grammatical rules and parts-of-speech tags. In document retrieval or filtering systems, applying tags to the list of terms representing a document provides additional information about…

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…

Presents two methods for evaluating automatically generated hypertext links: one is based on correlations between shortest paths in the hypertext structure and a semantic similarity measure, and the other is based on measuring users' performances using hypertext. Advantages and disadvantages of computer versus human evaluation are discussed.…

Discussion of the use of Latent Semantic Indexing to determine relevancy in information retrieval focuses on statistical regression and Bayesian methods. Topics include keyword searching; a multiple regression model; how the regression model can aid search methods; and limitations of this approach, including complexity, linearity, and…