The link between classification and knowledge is explored. The strengths and limitations of four classificatory approaches (hierarchies, trees, paradigms, and faceted analysis) are described in terms of their ability to reflect, discover, and create new knowledge. Examples are provided of the way in which knowledge and the classification process…

Presents a method for extracting maximal frequent sequences in a set of documents. A maximal frequent sequence is a sequence of words that is frequent in the document collection and is not contained in any other longer frequent sequence. Frequent maximal sequences can be used as content descriptors for documents. (MES)

Describes a prototype system--GeoMatch--that allows users to interactively define geographic areas of interest on a background map and to define, qualitatively or quantitatively, the relationship between the user-defined area and the map coverage. The knowledge discovery in database (KDD) factor is analyzed in the retrieval process. The MARC…

Reviews template mining research and shows how templates are used in World Wide Web search engines and metasearch engines for helping end-users generate natural language search expressions. Potential areas of application of template mining for extraction of information from digital documents are highlighted, and how such applications are used is…

Describes a system called CINDI (Concordia INdexing and DIscovery System) for cataloging and searching documents in a distributed virtual library. The document author registers metadata in the form of a semantic header that contains information on syntactic and semantic content, and an expert system fills the semantic header according to accepted…

Based on coexistence frequency of pairs of words or phrases, coword analysis is used to discover linkages among subjects in a research field and thus to trace the development of science. This article reviews the development of coword analysis, summarizes the advantages and disadvantages of this method, and discusses several research issues.…

Knowledge discovery in databases (KDD) revolves around the investigation and creation of knowledge, processes, algorithms, and mechanisms for retrieving knowledge from data collections. The article is an introductory overview of KDD. The rationale and environment of its development and applications are discussed. Issues related to database design…

Addresses the problem of how to find interesting but previously unknown implicit information within the scientific literature. The use of software, called Arrowsmith, that can create suggestive juxtapositions of Medline records to help biomedical researchers detect new and useful relationships, is described. Contains 34 references. (Author/MES)

Describes electronic information resources in religious and theological studies, considers the impact these tools may have on theological librarians, and discusses results of a survey of electronic tools in theological libraries that was conducted to measure the attitudes of theological librarians toward computer-aided biblical research. (35…