Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
WordNet: a lexical database for English
Communications of the ACM
Ontology Specification Languages for the Semantic Web
IEEE Intelligent Systems
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Learning to match ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
Mining structures for semantics
ACM SIGKDD Explorations Newsletter
RDFS(FA): Connecting RDF(S) and OWL DL
IEEE Transactions on Knowledge and Data Engineering
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
An empirical comparison of ontology matching techniques
Journal of Information Science
A semantic similarity metric combining features and intrinsic information content
Data & Knowledge Engineering
Ontology matching with semantic verification
Web Semantics: Science, Services and Agents on the World Wide Web
Peer-to-peer semantic coordination
Web Semantics: Science, Services and Agents on the World Wide Web
Web Semantics: Science, Services and Agents on the World Wide Web
A survey of schema-based matching approaches
Journal on Data Semantics IV
Bridging informal tagging and formal semantics via hybrid navigation
Journal of Information Science
A differentor-based adaptive ontology-matching approach
Journal of Information Science
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Ontology matching is an essential aspect of the Semantic Web with a goal of finding alignments among the entities of given ontologies. Ontology matching is a necessary step for establishing interoperation and knowledge sharing among Semantic Web applications. In this study we present an algorithm and a tool developed based on this algorithm to find correspondences among entities of input ontologies. The proposed algorithm uses a new lexical similarity measure and also utilizes structural information of ontologies to determine their corresponding entities. The lexical similarity measure generates a bag of words for each entity based on its label and description information. The structural approach creates a grid for each node in the ontologies. The combination of lexical and structural approaches creates the similarity matrix between the source and target ontologies. The proposed algorithm was tested on a well known benchmark and also compared to other algorithms presented in the literature. Our experimental results show the proposed algorithm is effective and outperforms other algorithms.