Ontological representation of business process knowledge and its evolution using process mining techniques
- 주제(키워드) Business process , Knowledge Management , Ontology , Process Mining
- 발행기관 고려대학교 대학원
- 지도교수 서용무
- 발행년도 2010
- 학위수여년월 2010. 2
- 학위구분 석사
- 학과 일반대학원 경영학과
- 세부전공 경영정보시스템 전공
- 원문페이지 33 p
- 실제URI http://www.dcollection.net/handler/korea/000000021151
- 본문언어 영어
- 제출원본 000045592169
초록/요약
A company’s success largely depends on its business processes, which evolve as its environment changes. Therefore, maintaining a well-defined set of business processes deserves much attention of senior managers. There are many types of knowledge associated with each business process, such as organizational unit responsible for its execution, resource, business rule and domain knowledge. These types of knowledge need to be managed systematically and continuously, but in reality, they are not managed well in most companies. This paper suggests a noble approach to capturing, and managing such knowledge for agile and efficient execution of business processes. First, it suggests the use of ontology as a standard representation of business process knowledge to be shared both by business world and by IT world. Second, it suggests the use of process mining techniques to extract new business processes from the analysis of business process log files created as business processes are executed. These suggestions are illustrated with examples.
more목차
1 Introduction 5
2 Literature Review 7
2.1 Business Process Knowledge Management 7
2.2 Semantic Business Process Knowledge Management 8
2.3 Process Mining 9
3 Semantic Business Process Knowledge Management 11
3.1 Overall Structure of SBPS 11
3.2 Building GBPO 12
3.3 Building SBPO 14
3.4 A Scenario of Managing Sales Order Process using Ontologies in SBPS 16
4 Process Mining for Business Process Evolution 18
4.1 Business Process Mining Algorithm 18
4.2 Business Process Mining 21
4.2.1 A Sample Slaes Order Process and Event Log 21
4.2.2 Business Process Mining with a Sample Sales Order Process 22
4.2.3 Analysis of Mining Results 23
4.3 Redesign the Predefined Business Process 24
5 Conclusion 26
REFERENCE 27
