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Huang, Jia – ProQuest LLC, 2014
Information retrieval (IR) systems have tremendously broaden users' access to information. However, users need to select their needs from trillions of information indexed daily. Due to the "semantic gap" between queries and indexed terms in IR system, whether users can satisfy their needs depends on whether they use the correct terms as…
Descriptors: Information Retrieval, Information Needs, Documentation, Information Systems
Georgieva-Trifonova, Tsvetanka – Informatics in Education, 2011
In this paper, a client/server information system for the management of data and its extraction from a database containing information for diploma works of students is proposed. The developed system provides users the possibility of accessing information about different characteristics of the diploma works, according to their specific interests.…
Descriptors: Information Systems, Databases, Client Server Architecture, Information Retrieval
Elayeb, Bilel; Evrard, Fabrice; Zaghdoud, Montaceur; Ahmed, Mohamed Ben – Interactive Technology and Smart Education, 2009
Purpose: The purpose of this paper is to make a scientific contribution to web information retrieval (IR). Design/methodology/approach: A multiagent system for web IR is proposed based on new technologies: Hierarchical Small-Worlds (HSW) and Possibilistic Networks (PN). This system is based on a possibilistic qualitative approach which extends the…
Descriptors: Information Retrieval, Models, College Students, Internet

Kunze, John A. – Public-Access Computer Systems Review, 1992
Describes the use of the Z39.50 information retrieval protocol as the basis for Infocal, a read-only, client/server-based campus information system. Technical considerations in adapting the protocol to nonbibliographic data, including semantic modules, dynamic attribute sets, and dynamic record syntax, are described in detail. (Contains 11…
Descriptors: Bibliographic Databases, Computer Software, Computer System Design, Database Design
Baylor, Amy – Educational Technology, 1999
Examines the educational potential for intelligent agents as cognitive tools. Discusses the role of intelligent agents: managing large amounts of information (information overload), serving as a pedagogical expert, and creating programming environments for the learner. (AEF)
Descriptors: Artificial Intelligence, Cognitive Development, Educational Media, Educational Technology