Uncertainty modeling process for semantic technology

Uncertainty modeling process for semantic technology

The ubiquity of uncertainty across application domains generates a need for principled support for uncertainty management in semantically aware systems. A probabilistic ontology provides constructs for representing uncertainty in domain ontologies. While the literature has been growing on formalisms for representing uncertainty in ontologies, there remains little guidance in the knowledge engin...

Transaction Technology for Process Modeling

Semantic Business Process Modeling

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...

Handling Uncertainty in Semantic Information Retrieval Process

This position paper proposes a collaboration method between Semantic Web and Fuzzy Logic aiming to handle uncertainty in the information retrieval process in order to cover more relevant items in result of search process. The collaboration method employs OWL ontology in query enhancement, RDF in annotation process and fuzzy rules in ranking enhancement.

Semantic Technology in Business Process Modeling and Analysis. Part 1: Matching, Modeling Support, Correctness and Compliance

Conceptual modelling in Business Process Management (BPM) is one of the core research areas of Information Systems (IS). A variety of different strategies for modeling support and model analysis exists such as syntax-based auto-completion features, recommendation techniques, correctness and compliance checking, abstraction and matching, semantic and domain patterns, or AI-based planning approac...