Distributed Knowledge Representation on the Social Semantic Desktop: Named Graphs, Views and Roles in NRL
From semanticweb.org
A paper written by Michael Sintek, Simon Scerri, Ludger van Elst and Siegfried Handschuh. It was presented at the ESWC2007. It is about Distributed Knowledge Representation, Named Graphs, Social Semantic Desktop and Views
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[edit] Abstract
The vision of the social semantic desktop defines a user's per-sonal information environment as a source and end-point of the Semantic
Web: Knowledge workers comprehensively express their information and data with respect to their own conceptualizations. Semantic Web lan- guages and protocols are used to formalize these conceptualizations and for coordinating local and global information access. From the way this vision is being pursued in the NEPOMUK project, we identified several requirements and research questions with respect to knowledge represen- tation. In addition to the general question of the expressivity needed in such a scenario, two main challenges come into focus: i) How can we cope with the heterogeneity of knowledge models and ontologies, esp. multi- ple knowledge modules with potentially different interpretations? ii) How can we support the tailoring of ontologies towards different needs in var- ious exploiting applications? The latter turned out to be an important prerequisite for a clean ontology design on the semantic desktop, as many applications shall use a knowledge worker's "personal ontology." In this paper, we present NRL, an approach to these two question that is based on named graphs for the modularization aspect and a view concept for the tailoring of ontologies. This view concept turned out to be of additional value, as it also provides a mechanism to impose different semantics on the same syntactical structure. We think that the elements of our approach are not only adequate for the semantic desktop scenario, but are also of importance as building blocks for the general Semantic Web.
This data has been imported from the ESWC2007 RDF
