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To date, ontology research seems to have come to an equilibrium: there is a wide variety of theories, methods and tools for extracting, representing, storing and browsing ontologies. Furthermore, ontologies have become an integral part of many academic and industrial applications. There are, however, still deep theoretical problems to be resolved. One(More)
A viable ontology engineering methodology requires supporting domain experts in gradually building and managing increasingly complex versions of ontological elements and their converging and diverging interrelationships. Contexts are necessary to formalise and reason about such a dynamic wealth of knowledge. However, context dependencies introduce many(More)
In this paper, we explore the process of interorganizational ontology engineering. Scalable ontology engineering is hard to do in interorganizational settings where there are many pre-existing organizational ontologies and rapidly changing collaborative requirements. A complex socio-technical process of on-tology alignment and meaning negotiation is(More)
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)
In the DOGMA ontology engineering approach ontology construction starts from a (possibly very large) uninterpreted base of elementary fact types called lexons that are mined from linguistic descriptions (be it from existing schemas, a text corpus or formulated by domain experts). An ontological commitment to such " lexon base " means se-lecting/reusing from(More)
This article wants to address the need for a research effort and framework that studies and embraces the novel, difficult but crucial issues of adaptation of knowledge resources to their respective user communities, and vice versa, as a fundamental property within knowledge-intensive internet systems. Through a deep understanding of real-time,(More)
In this position paper we identify nichesourcing, a specific form of human-based computation that harnesses the computational efforts from niche groups rather than the " faceless crowd ". We claim that nichesourcing combine the strengths of the crowd with those of professionals, optimizing the result of human-based computation for certain tasks. We(More)
The " living " ontologies that will furnish the Semantic Web are lacking. The problem is that in ontology engineering practice, the underlying method-ological and organisational principles to involve the community are mostly ignored. Each of the involved activities in the community-based ontology evolution methodology require certain skills and tools which(More)