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Peer reviewedMorato, Jorge; Llorens, J.; Genova, G.; Moreiro, J. A. – Information Processing & Management, 2003
Discusses the inclusion of contextual information in indexing and retrieval systems to improve results and the ability to carry out text analysis by means of linguistic knowledge. Presents research that investigated whether discourse variables have an impact on information and retrieval and classification algorithms. (Author/LRW)
Descriptors: Algorithms, Classification, Indexing, Information Retrieval
Peer reviewedSavoy, Jacques; Picard, Justin – Information Processing & Management, 2001
Discusses the role of search engines in Web usability and analyzes and evaluates the retrieval effectiveness of various indexing and searching strategies on a new Web text collection. Highlights include preprocessing techniques that might improve retrieval effectiveness; and hyperlinks as useful sources of evidence in improving retrieval…
Descriptors: Algorithms, Indexing, Information Retrieval, Search Strategies
Peer reviewedChien, Lee-Feng – Information Processing & Management, 1999
Considers the need for keyphrase-extraction techniques in intelligent Chinese information retrieval and presents a PAT-tree-based adaptive approach, developed from the PATRICIA Algorithm (Practical Algorithm to Retrieve Information Coded in Alphanumeric). Discusses Internet utilization, automatic term suggestion, domain-specific lexicon…
Descriptors: Algorithms, Chinese, Dictionaries, Indexing
Peer reviewedFrei, H. P.; Stieger, D. – Information Processing & Management, 1995
Highlights semantic links and shows how the semantic content of hypertext links can be used for information retrieval. Discussion includes indexing and retrieval algorithms that exploit link content and node content; retrieval strategies exploiting semantic links, including conventional retrieval and constrained spreading activation techniques;…
Descriptors: Algorithms, Experiments, Graphs, Hypermedia
Peer reviewedStory, Roger E. – Information Processing & Management, 1996
Discussion of the use of Latent Semantic Indexing to determine relevancy in information retrieval focuses on statistical regression and Bayesian methods. Topics include keyword searching; a multiple regression model; how the regression model can aid search methods; and limitations of this approach, including complexity, linearity, and…
Descriptors: Algorithms, Difficulty Level, Indexing, Information Retrieval
Peer reviewedO'Kane, Kevin C. – Information Processing & Management, 1996
Describes an algorithm for computer generation of hierarchical indexes for document collections. The resulting index, when presented with a graphical interface, provides users with a view of a document collection that permits general browsing and informal search activities via an access method that requires no keyboard entry or prior knowledge of…
Descriptors: Access to Information, Algorithms, Automatic Indexing, Computer Graphics
