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FLAIRS
2009
13 years 1 months ago
Verification of Distributed Knowledge in Semantic Knowledge Wikis
Recently, the development of distributed knowledge systems has become more attractive due to the existence of new social semantic applications such as semantic knowledge wikis. Us...
Joachim Baumeister, Grzegorz J. Nalepa
P2PKM
2004
13 years 5 months ago
KEEx: A Peer-to-Peer Solution for Distributed Knowledge Management
: Distributed Knowledge Management is an approach to Knowledge Management based on the principle that the multiplicity (and heterogeneity) of perspectives within complex organizati...
Matteo Bonifacio, Paolo Bouquet, Paolo Busetta, Al...
FLAIRS
2003
13 years 5 months ago
Distributed Knowledge Representation in Neural-Symbolic Learning Systems: A Case Study
Neural-symbolic integration concerns the integration of symbolic and connectionist systems. Distributed knowledge representation is traditionally seen under a purely symbolic pers...
Artur S. d'Avila Garcez, Luís C. Lamb, Krys...
EON
2007
13 years 5 months ago
A Panoramic Approach to Integrated Evaluation of Ontologies in the Semantic Web
As the sheer volume of new knowledge increases, there is a need to find effective ways to convey and correlate emerging knowledge in machine-readable form. The success of the Seman...
Sourish Dasgupta, Deendayal Dinakarpandian, Yugyun...
CLIMA
2007
13 years 5 months ago
Proof Theory for Distributed Knowledge
The proof theory of multi-agent epistemic logic extended with operators for distributed knowledge is studied. Distributed knowledge of A within a group G means that A follows from ...
Raul Hakli, Sara Negri
AINA
2004
IEEE
13 years 7 months ago
An Access Control Model Based on Distributed Knowledge Management
The conceptual architecture of the access control system described here is based on automatic distributed acquisition and processing of knowledge about users and devices in comput...
Alexandr Seleznyov, Stephen Hailes
HAIS
2009
Springer
13 years 8 months ago
An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data
This paper presents a methodology for knowledge discovery from inherently distributed data without moving it from its original location, completely or partially, to other locations...
Diego M. Escalante, Miguel Angel Rodriguez, Antoni...