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French, James C.; Powell, Allison L.; Schulman, Eric – Journal of the American Society for Information Science, 2000
Discussion of quality control of data in online bibliographic databases focuses on authority files. Describes approximate string matching, introduces the concept of approximate word matching and clustering, and presents a case study using the Astrophysics Data System (ADS) that shows how to reduce human effort involved in authority work. (LRW)
Descriptors: Authority Control (Information), Bibliographic Databases, Case Studies, Cluster Grouping
Peer reviewed Peer reviewed
Bookstein, A.; Klein, S. T.; Raita, T. – Journal of the American Society for Information Science, 1998
Defines the notion of serial clustering of words in text, and explores the value of such clustering as an indicator of a word's bearing content. This approach is flexible in the sense that it is context-sensitive; a numerical approach may also be of value in assigning weights to terms in requests. Experimental support is obtained from natural text…
Descriptors: Cluster Analysis, Cluster Grouping, Information Retrieval, Information Seeking
Peer reviewed Peer reviewed
Small, Henry – Journal of the American Society for Information Science, 1986
Applies a method for generating synopses of scientific fields to a co-citation cluster in field of cancer virology and describes the resulting specialty narrative. Implications of procedure for the cognitive processes involved in reviewing a field are discussed. Appended are lists of highly cited and citing papers. (35 references) (EJS)
Descriptors: Abstracts, Artificial Intelligence, Bibliographic Coupling, Citations (References)