Distributed Knowledge Representation on the Social Semantic Desktop: Named Graphs, Views and Roles in NRL

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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


The paper is available online at

http://www.eswc2007.org/pdf/eswc07-sintek.pdf

[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

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