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        <article-title>Semantic Business Process Modeling ?</article-title>
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        <contrib contrib-type="author">
          <string-name>Zhixian Yan??</string-name>
          <email>zhixian.yan@deri.com</email>
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          <institution>Digital Enterprise Research Institute (DERI) Innsbruck, Innsbruck University</institution>
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          <country country="AT">Austria</country>
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        <p>Web services and BPM have become a combination research aiming at enterprize computing providing a more intelligent and interactive services as processaware systems. In particular, with the emergence of BPEL4WS as a de-facto industrial standard for process grounding technology, Web services become the building blocks for the final process execution. However, really combining those two topics is still very hard as different perspectives (business and technical). With the development of semantics, especially semantic Web services, researchers propose SBPM to bridge the gap between business and technical levels. To achieve this, we need a comprehensive process modeling approach. Traditional process modeling has a long research history. From industrial perspective, the focuses of process modeling are pervasively on providing graphic-based modeling tools (Workflow or BPM suites) with various process notations, such as UML, BPMN and EPCs. Besides graphical modeling, language-based process description is another main emphasis, such as BPML, BPEL, XPDL etc. From academic perspective, there are also many formal concurrency theories supporting process automation and validation, such as Petri Net, Abstract State Machine, Process Algebra like Pi-Calculus, and some logic based AI models like Temporal Logic and Transaction Logic. However, neither industrial tools nor theoretical methods can completely support smooth combination between Web service and BPM. Therefore, the main motivation of this PhD research is to provide a semantic modeling framework for business processes, named Business Process Management Ontology (BPMO), which acts as the cornerstone of SBPM and the key transition role between business level and technical level. Problem Statement Based on the vision of SBPM and the fundamental cornerstone about semantic process modeling, we provide following key issues as the problem statement ought to be involved and given appropriate solutions in this PhD research: (1)Process Modeling Requirements Modeling requirements (or called process description requirements) is the basis for the whole BPMO proposal, which needs to be determined first. Basically, we should answer ”what kind of concepts are involved? ” and ”what is the crucial functional requirements and nun-functional requirements need to be described for business processes? ”. (2)Process Modeling Architecture (Elements and Language) Based on the previous determined requirements, we need a fully-fledged modeling architecture with comprehensive elements to cover all the requirements. A certain descrip? This work is funded by FFG SemBiz project, and special thanks to Emilia Cimpian, Michal Zaremba, Manuel Mazzara, Ying Ding ?? First year of PhD research</p>
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      <p>tion language is needed to describe and store all the elements involved in process
modeling. (3)Formal Process Modeling Approach The distinguished advantage of
semantics is machine-processable and further to support (semi-) automation. To
completely achieve automation potential of semantics, traditional process formal
works like ASM and Petri Net may be useful and can be refined with more
semantics support. (4)Legacy Process Integration Integration with legacy system
is crucial in real-world applications. Therefore, semantic process modeling ought
to provide interface to integrate traditional processes modeled by non-semantic
notations like BPMN, UML. (5)Graphic Process Modeling Suite The BPMO
framework needs the grounding model suite, providing friendly graphic
interfaces for both technical experts and businessmen. The distinguished modeling
suite can really embody the semantics transition role between business level and
technical level.</p>
      <p>Proposed Approaches As the BPMN vision involves both business and
technical levels, BPMO is a broad and cross-discipline topic. Basically, the
semantic technology, esp. the semantic related description methodology is the main
applied approach for this PhD thesis. However, there are four main general
approaches can be referred to: (1)Requirement Engineering. To determine the
process description requirements as the primary step for the BPMO framework
research, some arbitrary requirements engineering techniques can be applied, such
as determining system boundaries, stakeholders, goals etc. by analyzing
realworld business use cases. (2) Semantic Web Service. The objective of applying
semantics in Web services is to enable automatic service discovery, composition,
invocation, interoperation etc. Business process has similar context and
requirements. Among so many semantic web services activities, we mainly refer to the
WSMF framework, especially its conceptual model WSMO. (3)Formal Process
Model. We realize the importance of formal model to help process validation
and automatic discovery/composition. We have briefly surveyed many existing
formal process models, such as Petri Net (modeling workflow patterns), ASM,
Pi-Calculus, and Cuncurrency Transaction Logic. It’s not so easy to make an
absolute choice among those formal methods. But so far, ASM and PetriNet are
on the top list for its sound semantics and graphic process modeling support.
4) Process Grounding Technology. Although this PhD research is mainly focuses
on the modeling context, some grounding technologies will also be considered
especially the emerging de-facto standard BPEL.</p>
      <p>Excepted Contribution This PhD work aims at investigating issues and
making following contributions: (1) Specifying semantic description requirements
for business processes, involving the whole BPM lifecycle. (2) Providing a
fullyfledged semantic business process modeling framework BPMO, which provides
the cornerstone for the SBPM vision and makes it feasible. (3) Based on
semantic foundation, together with some formal process models, BPMO can
enable (semi-)automatic process discovery/composition/invocation. (4) Besides the
above scientific contributions, technically, this work can provide the integration
with existing process systems, based on traditional notations such as BPMN,
EPCs, and also grounding technology like BPEL.</p>
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