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Semantically-aided business process modeling
"... Abstract. Enriching business process models with semantic annotations taken from an ontology has become a crucial necessity both in service provisioning, integration and composition, and in business processes management. In our work we represent semantically annotated business processes as part of a ..."
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Abstract. Enriching business process models with semantic annotations taken from an ontology has become a crucial necessity both in service provisioning, integration and composition, and in business processes management. In our work we represent semantically annotated business processes as part of an OWL knowledge base that formalises the business process structure, the business domain, and a set of criteria describing correct semantic annotations. In this paper we show how Semantic Web representation and reasoning techniques can be effectively applied to formalise, and automatically verify, sets of constraints on Business Process Diagrams that involve both knowledge about the domain and the process structure. We also present a tool for the automated transformation of an annotated Business Process Diagram into an OWL ontology. The use of the semantic web techniques and tool presented in the paper results in a novel support for the management of business processes in the phase of process modeling, whose feasibility and usefulness will be illustrated by means of a concrete example. 1
Toward the Automation of Business Process Ontology Generation
"... utilises semantic technologies (e.g., ontology) to model and query process representations. There are times in which such models must be reconstructed from existing textual documentation. In this scenario the automated generation of ontological models would be preferable, however current methods and ..."
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utilises semantic technologies (e.g., ontology) to model and query process representations. There are times in which such models must be reconstructed from existing textual documentation. In this scenario the automated generation of ontological models would be preferable, however current methods and technology are still not capable of automatically generating accurate semantic process models from textual descriptions. This research attempts to automate the process as much as possible by proposing a method that drives the transformation through the joint use of a foundational ontology and lexico-semantic analysis. The method is presented, demonstrated and evaluated. The original dataset represents 150 business activities related to the procurement processes of a case study company. As the evaluation shows, the proposed method can accurately map the linguistic patterns of the process descriptions to semantic patterns of the foundational ontology to a high level of accuracy; however further research is required in order to reduce the level of human intervention, expand the method so as to recognise further patterns of the foundational ontology and develop a tool to assist the business process modeller in the semi-automated generation of process models.
oro.open.ac.uk Ontological Representation and Governance of Business Semantics in Compliant Service Networks ⋆
"... and other research outputs Ontological representation and governance of business semantics in compliant service networks Conference Item How to cite: Leenheer, Pieter; Cardoso, Jorge and Pedrinaci, Carlos (2013). Ontological representation and governance ..."
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and other research outputs Ontological representation and governance of business semantics in compliant service networks Conference Item How to cite: Leenheer, Pieter; Cardoso, Jorge and Pedrinaci, Carlos (2013). Ontological representation and governance
An Ontology-Based Semantic Foundation for ARIS EPCs
"... This paper presents an ontological analysis of the EPC (Event-driven Process Chain) business process modeling notation supported in the ARIS Toolset. This ontological analysis provides an interpretation of the modeling elements in EPC diagrams in terms of the UFO foundational ontology. This enables ..."
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This paper presents an ontological analysis of the EPC (Event-driven Process Chain) business process modeling notation supported in the ARIS Toolset. This ontological analysis provides an interpretation of the modeling elements in EPC diagrams in terms of the UFO foundational ontology. This enables us to define the precise real-world semantics for business process models represented through EPCs and allows us to identify problems affecting the clarity and expressiveness of EPCs. In our analysis, we consider an up-to-date metamodel of the ARIS Method that we have defined in our earlier work, which specifies EPCs as currently supported by the ARIS Toolset. To the best of our knowledge, the interpretation proposed here is presently the most complete ontological account for EPCs.
Ontology-based Representation and Reasoning on Process Models: A Logic Programming Approach
"... We propose a framework grounded in Logic Programming for representing and reasoning about business processes from both the procedural and ontological point of views. In particular, our goal is threefold: (1) define a logical language and a formal semantics for process models enriched with ontology-b ..."
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We propose a framework grounded in Logic Programming for representing and reasoning about business processes from both the procedural and ontological point of views. In particular, our goal is threefold: (1) define a logical language and a formal semantics for process models enriched with ontology-based annotations; (2) provide an effective inference mechanism that supports the combination of reasoning services dealing with the structural definition of a process model, its behavior, and the domain knowledge related to the participating business entities; (3) implement such a theoret-ical framework into a process modeling and reasoning platform. To this end we define a process ontology coping with a relevant fragment of the popular BPMN modeling notation. The behavioral semantics of a process is defined as a state transition system by following an approach similar to the Fluent Calculus, and allows us to specify state change in terms of preconditions and effects of the enactment of activities. Then we show how the procedural process knowledge can be seamlessly integrated with the do-main knowledge specified by using the OWL 2 RL rule-based ontology language. Our framework provides a wide range of reasoning services, including CTL model check-ing, which can be performed by using standard Logic Programming inference engines through a goal-oriented, efficient, sound and complete evaluation procedure. We also present a software environment implementing the proposed framework, and we report on an experimental evaluation of the system, whose results are encouraging and show the viability of the approach.