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Jarvelin, Kalervo; Niemi, Timo – Information Processing & Management, 1999
Shows that in advanced information-retrieval applications capabilities for data aggregation, transitive computation and non-first normal-form relational computation are often necessary at the same time. Topics include complex objects; advanced data models; query languages; query formulation; knowledge representation; and query-language syntax.…
Descriptors: Information Retrieval, Knowledge Representation, Syntax
Peer reviewed Peer reviewed
Chandrasekar, R.; Srinivas, B. – Information Processing & Management, 1998
Describes Glean, a system which is based on the idea that coherent text contains significant latent information, such as syntactic structure and patterns of language use, which can be used to enhance the performance of information retrieval systems. Proposes an approach to increase the precision of information-retrieval using a supertagger.…
Descriptors: Information Retrieval, Language Patterns, Performance Factors, Relevance (Information Retrieval)
Peer reviewed Peer reviewed
Arampatzis, A. T.; Tsoris, T.; Koster, C. H. A.; van der Weide, Th. P. – Information Processing & Management, 1998
Describes an information-retrieval schema that takes into account linguistic variation based on phrases. Introduces the phrase-retrieval hypothesis to replace the keyword-retrieval hypothesis, and discusses natural-language processing systems; syntactical, morphological, and lexico-semantical normalization; and future work. (Author/LRW)
Descriptors: Futures (of Society), Indexing, Information Retrieval, Keywords
Peer reviewed Peer reviewed
Ciravegna, Fabio – Information Processing & Management, 1995
Introduces characteristics of the sublanguage found in diagnostic messages about automotive equipment failures and discusses a system for minimizing jargon. Proposes using general knowledge sources and evaluates levels of communication accuracy, robustness and efficiency. (AEF)
Descriptors: Auto Mechanics, Expert Systems, Information Sources, Information Systems
Peer reviewed Peer reviewed
Losee, Robert M. – Information Processing & Management, 1996
Discusses the nature of term groupings, phrases, and text windows in full-text documents and computes the statistical significance of windows. Topics include classifying documents within disciplines or on a theory versus practice spectrum; and grammatical characteristics for automatic classification of documents, for information retrieval, and for…
Descriptors: Classification, Full Text Databases, Information Retrieval, Intellectual Disciplines