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Jacso, Peter – Database, 1993
Discusses online search techniques that can be used to identify inaccuracies and inconsistencies in records of online and CD-ROM databases. Methods that can be used to sample a database for errors in descriptor, name, or coded fields are described, including browsing, matching, looking up cross-references, and searching for implausible record…
Descriptors: Database Producers, Databases, Online Searching, Optical Data Disks

Jones, Karen Sparck – Journal of the American Society for Information Science, 1991
Discusses artificial intelligence (AI) and considers four potential roles for AI in information retrieval (IR): (1) information characterization, i.e., building a knowledge base; (2) information seeking, i.e., search formulation; (3) support functions, including abstracting; and (4) systems integration. Three examples are given that show how AI…
Descriptors: Abstracting, Artificial Intelligence, Information Retrieval, Man Machine Systems
Kassel, Amelia – Information Outlook, 1999
Discusses searching on the World Wide Web. Highlights include search-engine size; features of the six largest search engines; features of five metasearch engines; intelligent agents; two Web sites for difficult-to-find information, including industry statistics and market data; Internet publishers and databases; specialty search engines; and…
Descriptors: Change, Databases, Electronic Publishing, Information Retrieval

Wright, Lawrence W.; Nardini, Holly K. Grossetta; Aronson, Alan R.; Rindflesch, Thomas C. – Journal of the American Society for Information Science, 1999
Describes methods for applying natural-language processing for automatic concept-based indexing of full text and methods for exploiting the structure and hierarchy of full-text documents to a large collection of full-text documents drawn from the Health Services/Technology Assessment Text database at the National Library of Medicine. Examines how…
Descriptors: Bibliographic Databases, Indexes, Indexing, Information Retrieval
Balas, Janet L. – Computers in Libraries, 1999
Reviews Web-search tools available to librarians. Discusses the Clever project, (part of the Computer Science Principles and Methodologies Department at the IBM Almaden Research Center, Silicon Valley, California), an algorithm that finds authoritative sources on the Web; Google technology, based on links between Web pages; Ask Jeeves, a…
Descriptors: Algorithms, Information Retrieval, Information Sources, Library Services

Davis, Charles H.; McKim, Geoffrey W. – Journal of the American Society for Information Science, 1999
Describes SWEAR (Systematic Weighting and Ranking), a powers-of-two algorithm that can be used for searching the World Wide Web or any large database that automatically creates discrete, well-defined result sets and displays them in decreasing order of likely relevance. Also discusses fuzzy sets. (Author/LRW)
Descriptors: Algorithms, Databases, Information Retrieval, Relevance (Information Retrieval)
Sherman, Chris – Online, 2000
Compares three Web-based online reference services that are described as a cross between a traditional database service and a Web search engine: Ask Jeeves (http://www.ask.com), The Electric Library (http://www.elibrary.com), and Information Please (http://www.infoplease.com). Concludes that each has strengths and weaknesses and aren't directly…
Descriptors: Comparative Analysis, Databases, Online Systems, Reference Services
Roth, Dana L. – Searcher, 1998
Provides tips on searching Chemical Abstracts (CA). Discusses coverage, indexing policies, differences between the print and online versions, transliterations, arrangement of the print indexes, abbreviations, and importance of the CA Index Guide for effective searching. (MES)
Descriptors: Chemistry, Indexing, Information Retrieval, Reference Materials

Chen, Zhixiang; Meng, Xiannong; Fowler, Richard H.; Zhu, Binhai – Journal of the American Society for Information Science and Technology, 2001
Describes Features, an intelligent Web search engine that is able to perform real-time adaptive feature (i.e., keyword) and document learning. Explains how Features learns from users' document relevance feedback and automatically extracts and suggests indexing keywords relevant to a search query, and learns from users' keyword relevance feedback…
Descriptors: Keywords, Relevance (Information Retrieval), Search Strategies, Subject Index Terms

Chen, Zheng; Wenyin, Liu; Zhang, Feng; Li, Mingjing; Zhang, Hongjiang – Journal of the American Society for Information Science and Technology, 2001
Presents a prototype system for image retrieval from the Internet using Web mining. Discusses the architecture of the Web image retrieval prototype; document space modeling; user log mining; and image retrieval experiments to evaluate the proposed system. (AEF)
Descriptors: Information Retrieval, Information Systems, Internet, Online Searching

Greenberg, Jane – Journal of the American Society for Information Science and Technology, 2001
Reports on an experiment that examined whether thesaurus terms, related to query in a specified semantic way (synonyms, narrower terms, related terms, or broader terms) could be identified as having a more positive impact on retrieval effectiveness when added to a query through automatic query expansion. (Contains 54 references.) (Author/LRW)
Descriptors: Information Retrieval, Questionnaires, Relevance (Information Retrieval), Search Strategies

Jones, Karen Sparck; And Others – Information Processing & Management, 1996
Describes experiments in the retrieval of spoken documents in multimedia systems. Problems in spoken document retrieval are discussed, and a voice mail application is explained that combines state-of-the-art speech recognition with established document retrieval technologies to provide an effective and efficient retrieval tool. (Author/LRW)
Descriptors: Futures (of Society), Information Retrieval, Multimedia Materials, Problems
Kimmel, Stacey – Database, 1996
Provides an overview of robots that retrieve World Wide Web documents and index data and then store it in a database. Nine robot-generated databases are described, including record content, services, search features, and sample search results; and sidebars discuss the controversy about Web robots and other resource discovery tools. (LRW)
Descriptors: Comparative Analysis, Databases, Indexing, Information Retrieval
Marchionini, Gary; Brunk, Benjamin D.; Komlodi, Anita; Conrad, Fred; Bosley, John – Proceedings of the ASIS Annual Meeting, 2000
Describes a tool that allows people to browse several characteristics of federal statistical data contained in 200 Web sites before committing to any specific site. Presents the design process used and results from usability testing for the Relation Browser tool and makes recommendations for comparable applications. (Contains 11 references.)…
Descriptors: Computer Software Development, Federal Government, Search Strategies, Statistical Data

Luk, Robert W. P.; Chen, C. M. – Information Processing & Management, 2001
Discussion of office document search procedures focuses on variable bit-block compression (VBC) signature files and extends VBC signatures for document ranking. Topics include weighted VBC and aggregate VBC; word size, in bits, of term frequencies; storage and retrieval; logarithmic scaling and linear scaling; and ranking performance. (LRW)
Descriptors: Information Retrieval, Information Storage, Mathematical Formulas, Scaling