Christophe Debruyne

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Ontologies being shared formal specifications of a domain, are an important lever for developing meaningful internet systems. However, the problem is not in what ontologies are, but how they become operationally relevant and sustainable over longer periods of time. Fact-oriented and layered approaches such as DOGMA have been successful in facilitating(More)
Ontologies for enabling semantic interoperability is one of the branches in which agreement between a heterogeneous group of stakeholders is of vital importance. As agreements are the result of interactions, appropriate methods should take into account the natural language used by the community during those interactions. In this article, we first extend a(More)
The Do-It-Yourself (DIY) culture has been continuously articulated since mid-1920s. The goal of DIY has been gradually shifted from the solution of the " time-rich and money-poor " situation into the confirmation of personal creativities and the needs of outsourcing and social contact. This paper addresses the design of a DIY environment for managing data(More)
In this paper we present GOSPL, which stands for Grounding Ontologies with Social Processes and Natural Language. GOSPL is a method and tool that supports stakeholders in iteratively interpreting and modeling their common hybrid ontologies using their own terminology for semantic interoperability between autonomously developed and maintained information(More)
We discuss a semantic platform that matches a customer's purchase intent against vendor offers. The customers' perception on particular products, including evolving needs and preferences, were captured in a request and product ontology, in turn used to annotate vendor offers. During the project, however, we observed an important gap between the intent(More)
Linked Data makes available a vast amount of data on the Semantic Web for agents, both human and software, to consume. Linked Data datasets are made available with different ontologies, even when their domains overlap. The interoperability problem that rises when one needs to consume and combine two or more of such datasets to develop a Linked Data(More)