Paper Info
Title
DAML-based policy enforcement for semantic data transformation and filtering in multi-agent systems
Abstract
This paper describes an approach to runtime policy-based control over information exchange that allows a far more fine-grained control of these dynamically discovered agent interactions. The DARPA Agent Markup Language (DAML) is used to represent policies that may either filter messages based on their semantic content or transform the messages to make them suitable to be released. Policy definition, management, and enforcement are realized as part of the KAoS architecture. The solutions presented have been tested in the Coalition Agents Experiment (CoAX) - an experiment involving coalition military operations.
Year
DOI
Venue
2003
10.1007/3-540-45023-8_13
CEEMAS
Keywords
Field
DocType
fine-grained control,semantic data transformation,coalition military operation,darpa agent markup language,multi-agent system,coalition agents experiment,information exchange,policy-based control,semantic content,agent interaction,kaos architecture,daml-based policy enforcement,policy definition
DARPA Agent Markup Language,Computer science,Information exchange,KAOS,Multi-agent system,OWL-S,Enforcement,Semantics,Semantic data model,Distributed computing
Conference
Volume
ISSN
ISBN
2691
0302-9743
3-540-40450-3
Citations 
PageRank 
References 
7
2.89
7
Authors
12
Name
Order
Citations
PageRank
Niranjan Suri1730110.34
Jeffrey M. Bradshaw21753176.50
Mark H. Burstein31588188.24
Andrzej Uszok4103989.73
Brett Benyo525335.08
Maggie Breedy69613.71
Marco Carvalho717629.72
David Diller8125.91
Renia Jeffers91256139.64
Matt Johnson10277.63
Shri Kulkarni11296.98
James Lott1237141.04