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EIPW: A Knowledge-Based Database Modeling Tool
Conference proceeding   Open access

EIPW: A Knowledge-Based Database Modeling Tool

Ornsiri Thonggoom, Il-Yeol Song and Yuan An
ADVANCED INFORMATION SYSTEMS ENGINEERING WORKSHOPS, v 83, pp 119-133
01 Jan 2011
DOI: https://doi.org/10.1007/978-3-642-22056-2_13
url
https://doi.org/10.1007/978-3-642-22056-2_13View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze),  Open

Abstract

Computer Science Computer Science, Information Systems Science & Technology Technology
Reuse of already existing resources and solutions has become a strategy for cost reduction and efficient improvement in the information system development process. Currently, building a repository of reusable artifacts involves explication of human developer's knowledge, which is a major obstacle in facilitating reuse of knowledge. In this research, we explore knowledge-based and pattern-based approaches that help database designers develop quality conceptual data models based on reusable patterns. Our methodology includes database reverse engineering concepts. We propose new types of reusable instance patterns containing knowledge about an application domain, called entity instance repository (EIR) and relationship instance repository (RIR), which can be automatically generated from prior designs. The knowledge-based system (KBS) with EIR. RIR, and WordNet called EIPW (Entity Instance Pattern WordNet) is developed. The empirical study was conducted to test the efficiency of the KBS and indicated the significant improvement in novice designer performance.

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Computer Science, Information Systems
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