Self-management for pervasive middleware is important to realize the Ambient Intelligence vision. In this paper, we present an OWL/SWRL context ontologies based self-management approach for pervasive middleware where OWL ontology is used as means for context modeling. The context ontologies are incorporating the dynamic context information, including device and service run time information, whi...

Current standard models have improved interoperability in Product Lifecycle Management. But the increase of constrains surrounding information management in an industrial context, and notably for power plant design, like the increase of data, actors, systems and the need of automation and collaboration leads to an increasing use of ontologybased models. However, the design of power plants prese...

In this paper, we propose a Blackboard Architecture as a means for coordinating hybrid reasoning over the Semantic Web. We describe the components of traditional blackboard systems (Knowledge Sources, Blackboard, Controller) and then explain how we have enhanced these by incorporating some of the principles of the Semantic Web to produce our Semantic Web Blackboard. Much of the framework is alr...

Diagnosis is the most important step for achieving selfhealing of systems, which is a challenge in pervasive computing. In this paper, we present a semantic, state machinebased diagnosis approach for a web-service based middleware. We use OWL ontologies and SWRL to develop both diagnosis and monitoring rules, based on state changes and also invocation relationships. Malfunction information and ...

We introduce description logic (DL) rules as a new rule-based formalism for knowledge representation in DLs. As a fragment of the Semantic Web Rule Language SWRL, DL rules allow for a tight integration with DL knowledge bases. In contrast to SWRL, however, the combination of DL rules with expressive description logics remains decidable, and we show that the DL SROIQ – the basis for the ongoing ...

Though significant research has been done in the realm of information integration, continuously increasing amounts and complexity of data demand more advanced techniques for its access. Semantic Web technologies such as OWL and SWRL provide the capacity for rich definitions of data sources, global views, and the mappings between them. An information integration system based on these technologie...

The sparse application of the Semantic Web Rule Language is partly caused by a lack of intuitive rule editors. This applies both from a human user’s, as well as from a software interoperability perspective, as creating and modifying rules is currently hard in distributed Web applications. We introduce a Representational State Transfer-based approach that enables online rule editing to overcome ...

The Semantic Web uses ontologies to associate meaning to Web content so machines can process it. One inherent problem to this approach is that, as its popularity increases, there is an ever growing number of ontologies available to be used, leading to difficulties in choosing appropriate ones. With that in mind, we created a system that allows users to evaluate ontologies/rules. It is composed ...

Science and engineering are information intensive collaborative enterprises which have their own complex and rapidly evolving processes for creating, discovering, and analyzing digital artifacts. To support multiple contexts (Virtual Organizations), infrastructure must provide general purpose mechanisms for reasoning about processes and data. This paper considers one important aspect of this pr...