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Cole, Charles; Julien, Charles-Antoine; Leide, John E. – Information Research: An International Electronic Journal, 2010
Introduction: We define the results list problem in information search and suggest the "associative index model", an ad-hoc, user-derived indexing solution based on Vannevar Bush's description of an associative indexing approach for his memex machine. We further define what selection means in indexing terms with reference to Charles…
Descriptors: Information Retrieval, Indexing, Selection, Case Studies
Watkins, Steven G. – Database, 1981
Describes a study evaluating the effectiveness of the Information Retrieval, Ltd. (IRL) Life Sciences Collection database in a field where BioSciences Information Service (BIOSIS) claims to offer comprehensive coverage of the international literature. The two databases are described, and the depth of controlled indexing is compared for the two
Descriptors: Biological Sciences, Comparative Analysis, Databases, Indexing
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Cortez, Edwin M.; And Others – Information Processing & Management, 1995
Proposes an information retrieval system based on a hybrid model consisting of an inductive learning and neural network system. Evaluates the system's responses to incomplete queries and inconsistent indexing. Query terms, discriminant descriptors, and the American Documentation Institute's query and document titles used in the evaluation are…
Descriptors: Indexing, Induction, Information Networks, Information Processing
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Svenonius, Elaine – Journal of the American Society for Information Science, 1994
Examines some nonbook materials with respect to an aboutness model of indexing, showing that there are instances that defy subject indexing. These occur not so much because of the nature of the medium but because it is being used for nondocumentary purposes or because the subject referenced is nonlexical. (Contains 20 references.) (KRN)
Descriptors: Art Expression, Emotional Experience, Indexing, Literature
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Caid, William R.; And Others – Information Processing & Management, 1995
The Latent Semantic Indexing and MatchPlus systems examine similar contexts in which words appear and create representational models that capture the similarity of meaning of terms and then use the representation for retrieval. Text Retrieval Conference experiments using these systems demonstrate the computational feasibility of using…
Descriptors: Automatic Indexing, Computation, Conferences, Context Effect