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Semantics-Based Aspect-Oriented Management of Exceptional Flows in Business Processes
- Publication Year :
- 2012
-
Abstract
- Enriching business process models with semantic annotations that are taken from an ontology has become a crucial need in service provisioning, integration and composition, and business processes management. We represent semantically annotated business processes as part of an Web ontology lanuage knowledge base that formalizes the business process structure, the business domain, a set of criteria that describe correct semantic annotations, and a set of constraints that describe requirements on the business process itself. In this paper, we show how the Semantic Web representation and reasoning techniques can be 1) exploited by our aspect-oriented approach to modularize exception-handling (as well as other crosscutting) mechanisms and 2) effectively applied to formalize and automatically verify constraints on the management of exceptional flows (as well as other relevant flows) in business processes. The benefits of the Semantic Web and the aspect-oriented technologies are illustrated in a case study, where exceptional flows are modularized separately and managed at the semantic level due to the proposed approach.
- Subjects :
- Business requirements
Knowledge management
Computer science
Business process
Business process modelling, semantic annota- tion, ontology, exception handling
Ontology (information science)
Business process modelling
Business domain
Social Semantic Web
Business process discovery
Business Process Model and Notation
Business process management
Knowledge-based systems
exception handling
Semantic Web Stack
ontology
Electrical and Electronic Engineering
Semantic Web
business.industry
Business rule
Artifact-centric business process model
semantic annota- tion
Business process modeling
Computer Science Applications
Human-Computer Interaction
Knowledge base
Control and Systems Engineering
Ontology
business
Software engineering
Software
Information Systems
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....00002154f0ff3e34213290656ebe70af