To understand the pattern recognition from dataset, a study should be started from the decomposition process of context into a collection of data pieces because the context may infer different words or information. Many researchers have been focused on finding an effective methodology for data storage, retrieval, representation, and discovery. As a similar endeavor, this paper proposes a new modeling method using group theory and situation theory. This paper provides how to construct a semi-group as a modeling method for pattern recognition from huge dataset. This process of construction of semi‐groups can be used as a retrieval tool for the decomposed information if necessary.

Abstract
 1. 서 론
 2. 군이론 (Group Theory)
  2.1 Abelian Semi-군
  2.2 Semi-군 Table
  2.3 Subsemi-군
 3. 상황이론 (Situation Theory)
 4. 모델링 방법
  4.1 Hasse Diagram
  4.2 Hasse Diagram 예제
  4.3 Abelian Pattern Semi군
  4.4 Abelian Pattern Semi군의 예
 5. Conclusion
 References

• 임영문(강릉대학교 산업시스템공학과)
• 유창현(강릉대학교 산업시스템공학과)