Discovering semantic patterns in bibliographically coupled documents

ISSUES IN DISCOVERING KNOWLEDGE IN BIBLIOGRAPHIC databases are addressed. An example of semantic pattern analysis is used to demonstrate the methodological aspects of knowledge discovery in bibliographic databases. The semantic pattern analysis is based on the keywords selected from the documents grouped by bibliographical coupling. The frequency distribution patterns suggest the existence of a common intellectual base with a wide range of specialties and marginal areas in the antibiotic resistance literature. The resulting values for keyword density per rank show a difference of ten times between the specialty and marginal keyword densities. The possibilities and further studies of incorporating knowledge discovery results into information retrieval are discussed.