Today, reusable components are available in several repositorys. These are certainly conceived for re-use. However, this re-use is not immediate, it requires, in effect, to pass by some essential conceptual operations, among which in particular, research, integration, adaptation, and composition. We are interested in the present work to the problem of semantic integration of heterogeneous Busin...

Component systems comprise components linked in various ways. We illustrate an approach to expressing and selecting appropriate semantics for components, using as a starting point UML class diagrams. Like most diagrammatic notations, UML does not have a fixed interpretation. We present a meta-modular framework for the combined use of UML and Z, based on two levels. At the meta-level, we express...

This paper describes an ontology-based approach for identifying and retrieving relevant software components in large reuse libraries. Since it is usually difficult to precisely identify exact matches without considering domain knowledge, we exploit the use of domainspecific ontologies to enrich a knowledge base initially populated with multi-faceted ontological descriptions of API components. I...

We define learning as the generation of meaningful knowledge representations which can be utilized in future decision making. Optimal learning entails that these knowledge representations be integrated with prior knowledge. In this paper, we introduce a knowledge representation based on an integration of a variety of shallow semantic parsing techniques. Entity detection, event detection, semant...

What are the neural bases of semantic memory? Traditional beliefs that the temporal lobes subserve the retrieval of semantic knowledge, arising from lesion studies, have been recently called into question by functional neuroimaging studies finding correlations between semantic retrieval and activity in left prefrontal cortex. Has neuroimaging taught us something new about the neural bases of co...

Semantic image retrieval from large amounts of egocentric visual data requires to leverage powerful techniques for filling in the semantic gap. This paper introduces LEMoRe, a Lifelog Engine for Moments Retrieval, developed in the context of the Lifelog Semantic Access Task (LSAT) of the the NTCIR-12 challenge and discusses its performance variation on different trials. LEMoRe integrates classi...

information integration plays an important role in academic environments since it provides a comprehensive view of education data and enables mangers to analyze and evaluate the effectiveness of education processes. however, the problem in the traditional information integration is the lack of personalization due to weak information resource or unavailability of analysis functionality. in this ...