Semantic alignment of application software components’ ontologies represents a great interest in vehicle domains that manipulate heterogeneous overlapping knowledge frameworks. In the past few years, with growth novel service requirements such as autonomous driving, V2X (Vehicle-to-Vehicle communication) and many others, automotive component models are becoming increasingly collaborative other ...

This work takes place in the context of hierarchical heterogeneous modeling using the model of computation approach in order to model complex systems which includes several components from different technical fields. Each of these components is usually designed according to a modeling paradigm that suits the technical domain and is based on specific semantics. Therefore, the overall system, whi...

OWL-S enables the semantic description of Web Services, aiming at the automation of tasks such as discovery, selection, composition and monitoring of Web Services. Collaborative design systems has some needs to help designers in assembling design components by helping them in searching adequate components, detecting conflicts, searching related documents, finding people with the adequate skills...

Model is a kind of codified knowledge that has been verified in solving problems. Solving a complex problem usually needs a set of models. Using components, the composition of a set of closely related models, could enhance the efficiency of solving problems as components are experience in form of knowledge network. Mappings between components vary with the relevancy of problems. Such mappings c...

RÉSUMÉ. La réutilisation et l’intégration des Composants Métier dans un nouveau SI exige la détection et la résolution des conflits sémantiques. Par ailleurs les systèmes d’intégration et de résolution des conflits sémantiques se basent la plupart du temps sur des méthodes d’alignement des ontologies basées sur une ontologie de support. Ce travail se positionne à l’intersection de ces deux thém...

This paper presents an architecture of ontological components for the Semantic Web. Many methods and methodologies can be found in the literature. Generally, they are dedicated to particular data types like text, semistructured data, relational data, etc. Our work deals with web pages. We first study the state of the art of methodologies defined to learn ontologies from texts. Then, our archite...

The emerging Semantic Web and, in particular, Semantic Web services (SWS), demands the inclusion of new components in applications involving this technology. Therefore, Web development methodologies must be tailored to support the systematic development of such new components. In previous works we presented a UML profile, which extends the SOD-M method for service oriented Web Information Syste...

One of the key problems with virtual organizations in the context of the (Semantic) Grid is we don’t know how to describe the components used in virtual organizations because they appear to be dynamic, dispersed, transient, type-vague (or we don’t know their types), heterogeneous, semantically informal, and disorderly. The existing semantic modeling approaches lack effective modeling facilities...

Today's wireless networks and devices support the dynamic composition of mobile distributed systems according to networked services and resources. This has in particular led to the introduction of a number of computing paradigms, among which the Service-Oriented Architecture (SOA) seems to best serve these objectives. However, common SOA solutions restrict considerably the openness of dynamic m...

Emotion words have been well used as the most obvious choice as feature in the task of textual emotion recognition and automatic emotion lexicon construction. In this work, we explore features for recognizing word emotion. Based on RenCECps (an annotated emotion corpus) and MaxEnt (Maximum entropy) model, several contextual features and their combination have been experimented. Then PLSA (proba...