Abstract
Since a long time, Domain Ontologies have been limited to scientific and technical domains. This situation has advantaged the sustainable development of “unbiased and universal knowledge”. With the current emergence of Cognitive Sciences and the application of Ontology Engineering to Social and Human Sciences, the need to deal with subjective knowledge becomes more and more crucial. The aim of our work is to develop the notion of Personalised Vernacular Domain Ontology (PVDO). The principle underlying a PVDO consists in considering that an ontology O is not only specific to a delimited domain D, but is also peculiar to an endogroup E which shares a common pragmatics of D. This pragmatics, which complements the formal semantics of D, is defined during a process of ontology personalisation. This process is dependent on a context of use which includes several parameters, and in particular: culture, educational background and emotional state. Thus, ontologies co-evolve with their communities of use, and human interpretation of context in the use. Inspired by works in Cognitive Psychology, our contribution to ontology personalisation is based on the formal definition of two measures which aims at capturing subjective knowledge (i.e. the pragmatics of an ontology for knowledge (re)-using): (1) the conceptual prototypicality gradient evaluates the representativeness of a concept (resp. relation) within a local decomposition of a hierarchy and (2) the lexical prototypicality gradient evaluates the representativeness of a term within a set of terms used to denote a concept (resp. relation). In this way, these gradients aims at reflecting the degree of truth users of ontologies perceive on the is-a hierarchies and to what extent the terms associated to the concepts and relations are representative, respectively.
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Aimé, X., Furst, F., Kuntz, P., Trichet, F. (2008). Conceptual and Lexical Prototypicality Gradients Dedicated to Ontology Personalisation. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems: OTM 2008. OTM 2008. Lecture Notes in Computer Science, vol 5332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88873-4_34
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DOI: https://doi.org/10.1007/978-3-540-88873-4_34
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