International Journal of Man-Machine Studies
Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
The Semantic Web: The Roles of XML and RDF
IEEE Internet Computing
Integrating Knowledge on the Web
IEEE Internet Computing
Taxonomy alignment for interoperability between heterogeneous virtual organizations
Expert Systems with Applications: An International Journal
Ontology-based context synchronization for ad hoc social collaborations
Knowledge-Based Systems
Contextualized Recommendation Based on Reality Mining From Mobile Subscribers
Cybernetics and Systems
Semantic business process integration based on ontology alignment
Expert Systems with Applications: An International Journal
Reusing ontology mappings for query routing in semantic peer-to-peer environment
Information Sciences: an International Journal
On causal inference in fuzzy cognitive maps
IEEE Transactions on Fuzzy Systems
Dynamical cognitive network - an extension of fuzzy cognitive map
IEEE Transactions on Fuzzy Systems
RuleML representation and simulation of Fuzzy Cognitive Maps
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
A cognitive map has been regarded as one of the most efficient ways to solve problems like lack and uncertainty of knowledge in many different domains. In this paper, we have designed an ontology-based knowledge management systems (KMS) which is capable of annotating cognitive maps. Then, an OntoCM (ontological cognitive map) framework is proposed to collaboratively share the annotated cognitive maps between businesses by using an OntoCM Repository. Thereby, in order to manipulate the annotated cognitive maps, we have defined OntoCM operations such as expansion, contradiction, augmentation, and screener. By employing several concept hierarchies as ontologies and simulating synthesis patterns on OntoCM, we have extracted potential relationships between the existing concepts, and expected that the relationships between the cognitive maps can help the businesses to improve understandability.