지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.5
- 수록면
- 489 - 496 (8page)
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In many business fields, data redundancy is problematic in that it not only induces heavy storage management cost but also could bring critical degradation of information systems. Unfortunately, to our knowledge, only few enterprises willingly afford time and efforts for the faithful conceptual design to prevent the degree of inappropriate data as much as they could, while most of enterprises pay rare attention to the notion of that sort of data quality. For example, they treated the users of data design tools to have expertise in utilizing a certain pre-existed Knowledge Base formulated from several years of their past experiences. Wondering if there would be any other way to design the enterprise-wide data design without prior knowledge about business works is our major motivation for this study. In this paper, we present our data modeling methodology in which associations among objects in each sentences of a business job descriptions are treated as the focal point in database design. A proposed agent for automated design tool simply takes a business job description written in natural language as an input, and then designs an entity relationship diagram with some smart rules. We introduce the scope of the proposed agent and its detailed logics with several examples. And then, we verify the appropriateness of the resulted associations among objects by use of a package SAS E* Miner. Lastly, we perform a case study to evaluate the devised agent’s applicability to a business field.
목차
Abstract
1. Introduction
2. Related Works
3. Association-Based Conceptual Agent for Entity Relationship Modeling
4. Practical Applications of Association-Based Conceptual Modeling
5. Experimental Verification of Associations
5. Conclusions
References
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