Exploring alternatives for representing and accessing design knowledge about enterprise integration

被引:0
|
作者
Umapathy, Karthikeyan [1 ]
Purao, Sandeep [1 ]
机构
[1] Penn State Univ, Coll IST, University Pk, PA 16802 USA
关键词
enterprise integration; design knowledge; patterns; business process modeling; BPMN; speech acts; action types; ontology reasoner;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Enterprise integration refers to solutions that facilitate meaningful interactions among heterogeneous legacy applications. The scale, complexity and specificity of most enterprise integration efforts mean that design knowledge for enterprise integration has resisted codification. Important exceptions to this include: use of Business Process Models (BPM) to understand integration requirements; and Enterprise Integration Patterns (EIP), which present designers with abstract descriptions of recurring design tactics for integrating applications. The two, however, can be at odds. BPM encourages the control flow perspective; whereas EIP codifies an operational perspective. Mapping between the two to develop coherent solutions, therefore, tends to be problematic. To bridge the gap, we suggest an approach that builds on the theory of speech acts. We develop essential components of such an approach, including a re-representation of EIP as structures of speech acts, a characterization of tasks in BPM with action types, and a mapping between speech acts and action types. These components are accompanied by inference rules that produce a mapping between sets of tasks in a business process and structures of speech acts to allow reasoning on identification of appropriate EIPs for given set of tasks. We demonstrate usefulness of the proposed approach by application to industry cases.
引用
收藏
页码:470 / 484
页数:15
相关论文
共 50 条
  • [41] Systematics and architecture for a resource representing knowledge about named entities
    Schulz, KU
    Weigel, F
    PRINCIPLES AND PRACTICE OF SEMANTIC WEB REASONING, 2003, 2901 : 189 - 207
  • [42] REPRESENTING AND ELICITING KNOWLEDGE ABOUT UNCERTAIN EVIDENCE AND ITS IMPLICATIONS
    LASKEY, KB
    COHEN, MS
    MARTIN, AW
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1989, 19 (03): : 536 - 545
  • [43] WISE design for knowledge integration
    Linn, MC
    Clark, D
    Slotta, JD
    SCIENCE EDUCATION, 2003, 87 (04) : 517 - 538
  • [45] Accessing biological knowledge about immunology using Gene Ontology annotations
    Diehl, Alexander D.
    Hill, David P.
    Drabkin, Harold J.
    Ni, Li
    Dolan, Mary E.
    Richardson, Joel E.
    Blake, Judith A.
    JOURNAL OF IMMUNOLOGY, 2006, 176 : S11 - S11
  • [46] Object-Oriented Ontology Enterprise Architecture Framework Supporting Enterprise Knowledge Integration
    Chao, M. H.
    Trappey, A. J. C.
    Chen, Neil K. T.
    TRANSDISCIPLINARITY AND THE FUTURE OF ENGINEERING, 2022, 28 : 43 - 52
  • [47] Exploring Knowledge Integration in a Wine Research Project
    Esposito, Vincenza
    Canonico, Paolo
    De Nito, Ernesto
    Iacono, Mario Pezzillo
    Martinez, Marcello
    IFKAD 2015: 10TH INTERNATIONAL FORUM ON KNOWLEDGE ASSET DYNAMICS: CULTURE, INNOVATION AND ENTREPRENEURSHIP: CONNECTING THE KNOWLEDGE DOTS, 2015, : 1133 - 1145
  • [48] Representing Clinical Communication Knowledge Through Database Management System Integration
    Khairat, Saif
    Craven, Catherine
    Gong, Yang
    QUALITY OF LIFE THROUGH QUALITY OF INFORMATION, 2012, 180 : 1099 - 1101
  • [49] A Design Method for the Enterprise Knowledge Management Architecture
    Kanbe, Masakazu
    Yamamoto, Shuichiro
    KNOWLEDGE-BASED SOFTWARE ENGINEERING, 2008, 180 : 433 - 442
  • [50] The Approaches of Design Knowledge Integration in Innovation Design
    Hu, Fei
    Shen, Xipeng
    Zhang, Xi
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE AND HIGHER EDUCATION, 2015, 28 : 197 - 201