Conference proceeding
EIPW: A Knowledge-Based Database Modeling Tool
ADVANCED INFORMATION SYSTEMS ENGINEERING WORKSHOPS, v 83, pp 119-133
01 Jan 2011
Abstract
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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Details
- Title
- EIPW: A Knowledge-Based Database Modeling Tool
- Creators
- Ornsiri Thonggoom - Drexel UniversityIl-Yeol Song - Drexel UniversityYuan An - Drexel University
- Contributors
- C Salinesi (Editor)O Pastor (Editor)
- Publication Details
- ADVANCED INFORMATION SYSTEMS ENGINEERING WORKSHOPS, v 83, pp 119-133
- Series
- Lecture Notes in Business Information Processing
- Publisher
- Springer Nature
- Number of pages
- 15
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:000301989300011
- Scopus ID
- 2-s2.0-79960293404
- Other Identifier
- 991019170510704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems