Managing heterogeneous information systems through discovery and retrieval of generic concepts

U. Srinivasan; A.H.H. Ngu; T. Gedeon

doi:10.1002/(SICI)1097-4571(2000)51:8<707::AID-ASI30>3.0.CO;2-C

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Managing heterogeneous information systems through discovery and retrieval of generic concepts

Journal article

Peer reviewed

Managing heterogeneous information systems through discovery and retrieval of generic concepts

U. Srinivasan, A.H.H. Ngu and T. Gedeon

Journal of the American Society for Information Science and Technology, Vol.51(8), pp.707-723

2000

DOI: https://doi.org/10.1002/(SICI)1097-4571(2000)51:8<707::AID-ASI30>3.0.CO;2-C

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Abstract

Autonomy of operations combined with decentralized management of data gives rise to a number of heterogeneous databases or information systems within an enterprise. These systems are often incompatible in structure as well as content and, hence, difficult to integrate. Depsite heterogeneity, the unity of overall purpose within a common application domain, nevertheless, provides a degree of semantic similarity that manifests itself in the form of similar data structures and common usage patterns of existing information systems. This article introduces a conceptual integration approach that exploits the similarity in metalevel information in existing systems and performs metadata mining on database objects to discover a set of concepts that serve as a domain abstraction and provide a conceptual layer above existing legacy systems. This conceptual layer is further utilized by an information reengineering framework that customizes and packages information to reflect the unique needs of different user groups within the application domain. The architecture of the information reengineering framework is based on an object-oriented model that represents the discovered concepts as customized application objects for each distinct user group.

Details

Title: Managing heterogeneous information systems through discovery and retrieval of generic concepts
Authors/Creators: U. Srinivasan (Author/Creator) - Commonwealth Scientific and Industrial Research Organisation
A.H.H. Ngu (Author/Creator) - UNSW Sydney
T. Gedeon (Author/Creator) - Murdoch University
Publication Details: Journal of the American Society for Information Science and Technology, Vol.51(8), pp.707-723
Publisher: John Wiley & Sons, Inc.
Identifiers: 991005544771907891
Murdoch Affiliation: School of Information Technology
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.48 Knowledge Engineering & Representation; 4.48.322 Semantic Web
Web Of Science research areas: Computer Science, Information Systems; Information Science & Library Science
ESI research areas: Social Sciences, general