The objective of this article is to analyze the searching and indexing techniques of educational search engines' implementation while treating future challenges. Educational search engines could greatly help in the effectiveness of e-learning if used correctly. However, these engines have several gaps which influence the performance of e-learning…

Discusses latent semantic indexing (LSI); considers the high cost associated with the singular value decomposition (SVD) of the large term-by-document matrix that becomes a barrier for its application to scalable information retrieval; and shows that information filtering using level search techniques can reduce the SVD computation cost for LSI.…

PRECIS, The Preserved Context Index System, is explained in detail. (AP)

Discussion of models for indexing and searching information resources on the Internet focuses on the results of a simple query on a number of existing search systems and on two proposed index metadata structures for indexing and supporting search and discovery: the Dublin Core Elements List and the Semantic Header. (52 references) (Author/LRW)

Compares the implied ontological frameworks of the Open Archives Initiative Protocol for Metadata Harvesting and the World Wide Web Consortium's Semantic Web. Discusses current search engine technology, semantic markup, indexing principles of special libraries and online databases, and componentization and the distinction between data and…

Describes EquiX, a search language for XML that combines querying with searching to query the data and the meta-data content of Web pages. Topics include search engines; a data model for XML documents; search query syntax; search query semantics; an algorithm for evaluating a query on a document; and indexing EquiX queries. (LRW)

Describes a system called CINDI (Concordia INdexing and DIscovery System) for cataloging and searching documents in a distributed virtual library. The document author registers metadata in the form of a semantic header that contains information on syntactic and semantic content, and an expert system fills the semantic header according to accepted…

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…

Addresses problems with automated bibliographic and full-text storage of scientific articles. The role of the scientific article is described, the structure is explained, current indexing and information retrieval techniques are criticized, new possibilities using a rhetoric syntax or argumentational syntax are explored, and the use of hypertext…