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Extra info for Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers
Sample text
X rdf:type Service. y. y rdf:type Agent. y)) } Thus we divided the T-Box of the proposed model into two parts. The first part contains axioms describing mainly the concept hierarchy and the necessary relations between their instances. This schema is interpreted under the OWA and defines the facts the reasoner will infer from the given A-Box. In the second part, there are constraints which define the integrity conditions of the system related mainly to the capabilities of agents. These are interpreted under the CWA.
629612 and by the SVV project no. 265314. Roman Neruda has been supported by the Czech Science Foundation project no. P202/11/1368. References 1. : Agent-Enriched Data Mining Using an Extendable Framework. S. ) ADMI 2009. LNCS, vol. 5680, pp. 53–68. Springer, Heidelberg (2009) 2. : The description logic handbook: Theory, implementation, and applications. Cambridge University Press (2003) 3. : Developing multi-agent systems with JADE. John Wiley and Sons (2007) 4. : KNIME: The konstanz information miner.
On the other hand, the role defines constraints, which a requesting agent has to satisfy to obtain the role, as well as responsibilities for which the agent playing this role holds accountable. The role also serves as a mean of definition of protocols, common interactions between agents. An agent may handle more roles, and a role can be embodied by different classes of agents. Moreover, agents can change their roles dynamically. A group is a set of agents and its structure is defined by means of roles and protocols allowed in the group.