Enterprise applications of semantic technologies for business process management
1 Introduction Today's business process management (BPM) systems have evolved to provide rich and sophisti- cated tooling and runtime support for subject domain experts, business analysts, development, and information technology (IT). However, the evolution of BPM systems led to a jungle of differen...
        Saved in:
      
    
          | Published in | Frontiers of information technology & electronic engineering Vol. 13; no. 4; pp. 308 - 310 | 
|---|---|
| Main Author | |
| Format | Journal Article | 
| Language | English | 
| Published | 
        Heidelberg
          SP Zhejiang University Press
    
        01.04.2012
     Springer Nature B.V  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1869-1951 2095-9184 1869-196X 2095-9230  | 
| DOI | 10.1631/jzus.C1101011 | 
Cover
| Summary: | 1 Introduction
Today's business process management (BPM) systems have evolved to provide rich and sophisti- cated tooling and runtime support for subject domain experts, business analysts, development, and information technology (IT). However, the evolution of BPM systems led to a jungle of different representation formats for the various artifacts in such systems. These include models for value chains, strategies, goals, and objectives on the analysis side, business process models, organizational data and service models, and finally models for the implementation of a BPM system to a runtime infrastructure. In many systems, the complex relationships between the enti- ties of a BPM system are vaguely documented, let alone be formalized in a machine readable way. This is where semantic technologies kick in: to provide the foundation for formalizing the complex relationships of a business in a common model using Web Ontology Language (OWL) ontologies. This avoids information silos and enables a holistic view to a BPM system using SPARQL. | 
|---|---|
| Bibliography: | 1 Introduction Today's business process management (BPM) systems have evolved to provide rich and sophisti- cated tooling and runtime support for subject domain experts, business analysts, development, and information technology (IT). However, the evolution of BPM systems led to a jungle of different representation formats for the various artifacts in such systems. These include models for value chains, strategies, goals, and objectives on the analysis side, business process models, organizational data and service models, and finally models for the implementation of a BPM system to a runtime infrastructure. In many systems, the complex relationships between the enti- ties of a BPM system are vaguely documented, let alone be formalized in a machine readable way. This is where semantic technologies kick in: to provide the foundation for formalizing the complex relationships of a business in a common model using Web Ontology Language (OWL) ontologies. This avoids information silos and enables a holistic view to a BPM system using SPARQL. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14  | 
| ISSN: | 1869-1951 2095-9184 1869-196X 2095-9230  | 
| DOI: | 10.1631/jzus.C1101011 |