Reasoning on Semantically Annotated Processes
نویسندگان
چکیده
Enriching business process models with semantic tags taken from an ontology has become a crucial necessity in service provisioning, integration and composition. In this paper we propose to represent semantically labelled business processes as part of a knowledge base that formalises: business process structure, business domains, and a set of criteria describing correct semantic labelling. Our approach allows (1) to impose domain dependent constraints during the phase of process design, and (2) to automatically verify, via logical reasoning, if business processes fulfill a set of given constraints, and to formulate queries that involve both knowledge about the domain and the process structure. Feasibility and usefulness of our approach will be shown by means of two use cases. The first one on domain specific constraints, and the second one on mining and evolution of crosscutting concerns.
منابع مشابه
Semantically-Aided Business Process Modeling
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 crit...
متن کاملA Semantic-based Pervasive Computing Approach for Smart Building Automation
The integration of knowledge representation languages and reasoning techniques (originally devised for the Semantic Web) into standard home automation protocols can allow to offer high-level services to users. A semantic-based approach is proposed, able to interface users and devices (whose features are expressed by means of semantically annotated profiles) within an ontology-based service-orie...
متن کاملStrider-lsa: Massive RDF Stream Reasoning in the Cloud
Reasoning over semantically annotated data is an emerging trend in stream processing aiming to produce sound and complete answers to a set of continuous queries. It usually comes at the cost of finding a trade-off between data throughput and the cost of expressive inferences. Striderlsa proposes such a trade-off and combines a scalable RDF stream processing engine with an efficient reasoning sy...
متن کاملCollecting Semantics in the Wild: The Story Workbench
Analogical reasoning is crucial to robust and flexible highlevel cognition. However, progress on computational models of analogy has been impeded by our inability to quickly and accurately collect large numbers (100+) of semantically annotated texts. The Story Workbench is a tool that facilitates such annotation by using natural language processing techniques to make a guess at the annotation, ...
متن کاملA Workflow for Improving Medical Visualization of Semantically Annotated CT-Images
RadLex and Foundational Model of Anatomy (FMA) ontologies represent anatomic and image characteristics, and they are commonly used to annotate and describe contents of medical images independently of the image acquisition method (e.g., CT, MR, or US). We present ANISE, a framework that implements workflows to combine these ontologies and image characteristics into Transfer Functions (TFs) that ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008