TY - GEN
T1 - Ontology agent based rule base fuzzy cognitive maps
AU - Peña, Alejandro
AU - Sossa, Humberto
AU - Gutierrez, Francisco
PY - 2007
Y1 - 2007
N2 - This work proposes a framework for the design and development of Ontology Agents oriented to manage Rule Base Fuzzy Cognitive Maps (RBFCM). The approach takes into account the foundations of the Ontology Agents and the baseline of the Fuzzy Cognitive Maps depicted by Rule Bases. With these underlying elements, a specification of a conceptualization about the modeled domain is outcome. Moreover, a knowledge structure, composed by concepts and causal relationships that fit a Fuzzy Rule Base, is grown from. As a result, a semantic repository is stated by means of the Ontology Web Language (OWL). The management of the ontology is fulfilled by an Ontology Agent. This kind of agent takes over the services required to define and update the Ontology items. Also, the Ontology Agent achieves the tasks for answering the queries sent by a community of agents. This set of agents recreates a MultiAgent System (MAS) that is deployed on the Internet by means of Web Services, where the system carries out causal inferences based on RB-FCM.
AB - This work proposes a framework for the design and development of Ontology Agents oriented to manage Rule Base Fuzzy Cognitive Maps (RBFCM). The approach takes into account the foundations of the Ontology Agents and the baseline of the Fuzzy Cognitive Maps depicted by Rule Bases. With these underlying elements, a specification of a conceptualization about the modeled domain is outcome. Moreover, a knowledge structure, composed by concepts and causal relationships that fit a Fuzzy Rule Base, is grown from. As a result, a semantic repository is stated by means of the Ontology Web Language (OWL). The management of the ontology is fulfilled by an Ontology Agent. This kind of agent takes over the services required to define and update the Ontology items. Also, the Ontology Agent achieves the tasks for answering the queries sent by a community of agents. This set of agents recreates a MultiAgent System (MAS) that is deployed on the Internet by means of Web Services, where the system carries out causal inferences based on RB-FCM.
UR - http://www.scopus.com/inward/record.url?scp=39649094936&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-72830-6_34
DO - 10.1007/978-3-540-72830-6_34
M3 - Contribución a la conferencia
SN - 9783540728290
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 328
EP - 337
BT - Agent and Multi-Agent Systems
PB - Springer Verlag
T2 - 1st KES International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007
Y2 - 31 May 2007 through 1 June 2007
ER -