Authors:
Maxim Davidovsky
;
Vadim Ermolayev
and
Vyacheslav Tolok
Affiliation:
Zaporozhye National University, Ukraine
Keyword(s):
Ontology, Ontology Alignment, Ontology Matching, Ontology Mapping, Intelligent Agent, Meaning Negotiation.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Collaboration and e-Services
;
Cooperation and Coordination
;
Distributed and Mobile Software Systems
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Enterprise Ontologies
;
Formal Methods
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation and Reasoning
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Ontologies
;
Semantic Web
;
Simulation and Modeling
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
Ontologies today are increasingly used as consensual knowledge representations in many distributed applications. However, if a system of knowledge based nodes is decentralized, the ontologies at those nodes differ. Therefore the alignment of knowledge representations is required. One of the promising approaches to solve this heterogeneity is the use of agents for aligning knowledge representations. The paper presents a brief survey of the approaches to agent-based ontology alignment. The analysis of these approaches is grounded on the analysis of the requirements to ontology alignments by typical applications that address semantic heterogeneity in open and decentralized settings.