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Kim, Dongseok; Jung, Hanmin; Lee, Gary Geunbae – Information Processing & Management, 2003
Presents a new extraction pattern, modified Document Type Definition (mDTD), which relies on analytical interpretation to identify extraction target from the contents of Web documents. Experiments with 330 Korean and 220 English Web documents on audio and video shopping sites yielded an average extraction precision of 91.3% for Korean and 81.9%…
Descriptors: Computer System Design, English, Information Retrieval, Korean
Peer reviewed Peer reviewed
Bates, Marcia J. – Information Processing & Management, 2002
Presents a model of some of the typical important layers in the design of information systems, and shows how those layers interact in operation. Suggests that these layers are in the way of a cascade of each layer affecting the next. Presents a model of this cascade of interactions in information systems. Provides examples from networked…
Descriptors: Computer Interfaces, Computer System Design, Databases, Electronic Libraries
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Cohen, Jonathan D. – Information Processing & Management, 1998
Describes a method of full-text scanning for matches in a large dictionary. The method is suitable for selective dissemination of information systems, accommodating large dictionaries and typical digital data rates. It can be implemented on a single commercially-available board hosted by a personal computer or entirely in software. (Author/AEF)
Descriptors: Computer System Design, Dictionaries, Information Dissemination, Information Networks
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Blair, David C.; Kimbrough, Steven O. – Information Processing & Management, 2002
Suggests an alternative document representation method based on "exemplary documents," those that describe or exhibit the intellectual structure of a particular field of interest. Exemplary documents provide both an indexing vocabulary for that area and a narrative context in which the indexing terms have a clearer meaning. It is much…
Descriptors: Classification, Computer System Design, Document Delivery, Indexes
Peer reviewed Peer reviewed
Mock, Kenrick J.; Vemuri, V. Rao – Information Processing & Management, 1997
Discusses intelligent filtering systems and describes work in the INFOS (Intelligent News Filtering Organizational System) project designed to automatically categorize data as relevant or irrelevant based on user interests. The filtering is performed by combining keyword-based hill climbing, knowledge-based conceptual representation via WordNet,…
Descriptors: Access to Information, Computer Software Development, Computer System Design, Expert Systems