This research reports an algorithmic approach to the automatic generation of thesauri for electronic community systems. The techniques used include term filtering, automatic indexing, and cluster analysis. The Worm Community System, used by molecular biologists studying the nematode worm C. elegans, was used as the testbed for this research.…

Investigates journal and journal article overlap of secondary information services in the field of criminology. Clusters of journals obtained from a study of citations are compared with the measures of overlap patterns, and conclusions are drawn about ways to improve services. (Author/FM)

Statistical clustering is critical in designing scalable image retrieval systems. This paper presents a scalable algorithm for indexing and retrieving images based on region segmentation. The method uses statistical clustering on region features and IRM (Integrated Region Matching), a measure developed to evaluate overall similarity between images…

Group of 20 scholars attributed 29.3 percent of 437 references they had cited to one of seven motives, while describing motives for majority (70.7 percent) of references as combinations. Clustering of citer motives showed three groupings: (1) persuasiveness, positive credit, currency, social consensus; (2) negative credit; (3) reader alert,…

The present report is the twenty-first in a series describing research in information storage and retrieval conducted by the Department of Computer Science at Cornell University. The report covering work carried out by the SMART project for approximately two years (summer 1970 to summer 1972) is separated into five parts: automatic content…

Explores the intellectual subject structure and research themes in software engineering through the identification and analysis of a core journal literature via two expert perspectives: the author, through cocitation analysis; and the indexer, through subject terms selected to facilitate retrieval. Topics include cluster analysis, multidimensional…