Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
DTD inference for views of XML data
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Ontology mapping: the state of the art
The Knowledge Engineering Review
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
ACM SIGMOD Record
An Ontology Mapping Method Based on Tree Structure
SKG '06 Proceedings of the Second International Conference on Semantics, Knowledge, and Grid
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Ontology is the specification and classification of information in a particular domain. For web-based applications, information sharing is always the key issue. In this paper, a new methodology for ontology integration based on the tree structure is introduced. The methodology is designed to map objects through attribute comparison. It combines the object-oriented concept into the ontology mapping process, and relies on the tree structure to further improve the accuracy of the mapping. It is demonstrated in the paper that this tree structure based integration has a high accuracy in ontology mapping compared with other methodologies in the area.