After an historical and theoretical introduction, options for exploring an alternative LC class number for bibliographies, and problems that may arise are explored. LC now provides a general works number for most bibliographies it catalogs. The alternative number suggests a more representative classification which may increase retrieval.…

Emphasizes the importance of a good indexing program for school newspaper columns. (HOD)

Discusses content-based image retrieval systems that effectively utilize information from image databases, and provides a taxonomy for approaches to image retrieval. Highlights include image retrieval architecture that supports query operators; conceptual issues; and two application prototypes. (100 references) (Author/LRW)

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)

Genetic algorithms, a class of nondeterministic algorithms in which the role of chance makes the precise nature of a solution impossible to guarantee, seem to be well suited to combinatorial-optimization problems in information retrieval. Provides an introduction to techniques and characteristics of genetic algorithms and illustrates their…

Discussion of information filtering in information retrieval systems introduces a method for defining filters for structured text where the text structure is originally defined by a grammar consisting of a set of productions. Use of a template that is created interactively from the grammar is explained, and a prototype implementation is described.…

Describes in detail the practice of information retrieval within business organizations based on 46 interviews. Highlights include the importance of text to the performance of information work rather than technical aspects of retrieval; information management; and information retrieval problems in organizations. (LRW)

Describes the characteristics of natural languages that hinder the optimal organization and accessing of networked resources, focusing on the semantic mapping processes utilizing thesauri or metadata. Considers future information retrieval system design, especially networked retrieval and natural language, and gives an example of problems in…

Discusses the inclusion of contextual information in indexing and retrieval systems to improve results and the ability to carry out text analysis by means of linguistic knowledge. Presents research that investigated whether discourse variables have an impact on information and retrieval and classification algorithms. (Author/LRW)

Discussion of ways to promote sites on the World Wide Web focuses on how search engines work and how they retrieve and identify sites. Appropriate Web links for submitting new sites and for Internet marketing are included. (LRW)

Introduces a rotation and scale invariant log-polar wavelet texture feature for image retrieval. The underlying feature extraction process involves a log-polar transform followed by an adaptive row shift invariant wavelet packet transform. Experimental results show that this rotation and scale invariant wavelet feature is quite effective for image…

Discusses rule-based information filtering systems and user profiles that express the user's information filtering policy. Compares the effectiveness of two alternative rule-based filtering methods: stereotype-based rules, where users are assigned to a group of similar users; and personal-based rules, where each user has his/her own personal…

Discusses latent semantic indexing (LSI) that would allow search engines to reduce the dimension of the document space by mapping it into a space spanned by conceptual indices. Topics include vector space models; singular value decomposition (SVD); unitary operators; the Haar transform; and new algorithms. (Author/LRW)

Examines query expansion during query translation in cross language information retrieval and develops a general framework for inferential information retrieval in two particular contexts: using fuzzy logic and probability theory. Obtains evaluation formulas that are shown to strongly correspond to those used in other information retrieval models.…