On Heterogeneous Database Retrieval : A Cognitively Guided Approach

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

16 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)286-301
Journal / PublicationInformation Systems Research
Volume12
Issue number3
StatePublished - Sep 2001
Externally publishedYes

Abstract

Retrieving information from heterogeneous database systems involves a complex process and remains a challenging research area. We propose a cognitively guided approach for developing an information-retrieval agent that takes the user's information request, identifies relevant information sources, and generates a multidatabase access plan. Our work is distinctive in that the agent design is based on an empirical study of how human experts retrieve information from multiple, heterogeneous database systems. To improve on empirically observed information-retrieval capabilities, the design incorporates mathematical models and algorithmic components. These components optimize the set of information sources that need to be considered to respond to a user query and are used to develop efficient multidatabase-access plans. This agent design, which integrates cognitive and mathematical models, has been implemented using Soar, a knowledge-based architecture.

Research Area(s)

  • Global Query Optimization, Heterogeneous Database Systems, Information Integration, Maximal Objects, Soar-based AI Systems, Universal Relational Model

Citation Format(s)

On Heterogeneous Database Retrieval : A Cognitively Guided Approach. / Krishnan, Ramayya; Li, Xiaoping; Steier, David; Zhao, J. Leon.

In: Information Systems Research, Vol. 12, No. 3, 09.2001, p. 286-301.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal