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)

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…

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.…

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)

An example of semantic pattern analysis, based on keywords selected from documents grouped by bibliographical coupling, is used to demonstrate the methodological aspects of knowledge discovery in bibliographic databases. Frequency distribution patterns suggest the existence of a common intellectual base with a wide range of specialties and…