A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
Propositional, probabilistic and evidential reasoning: integrating numerical and symbolic approaches
Propositional, probabilistic and evidential reasoning: integrating numerical and symbolic approaches
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
Information-Flow-Based Ontology Mapping
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
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
Uncertainty in the Automation of Ontology Matching
ISUMA '03 Proceedings of the 4th International Symposium on Uncertainty Modelling and Analysis
Multiple strategies detection in ontology mapping
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Semantic similarity methods in wordNet and their application to information retrieval on the web
Proceedings of the 7th annual ACM international workshop on Web information and data management
Ontology Mapping based on Rough Formal Concept Analysis
AICT-ICIW '06 Proceedings of the Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services
Constructing virtual documents for ontology matching
Proceedings of the 15th international conference on World Wide Web
ACM SIGMOD Record
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Analyzing the degree of conflict among belief functions
Artificial Intelligence
A bayesian network approach to ontology mapping
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
A survey of schema-based matching approaches
Journal on Data Semantics IV
Preference-Based Uncertain Data Integration
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
A Survey on Uncertainty Management in Data Integration
Journal of Data and Information Quality (JDIQ)
A concept hierarchy based ontology mapping approach
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
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An ontology matching method (or a matcher) aims at matching every entity (or concept) in one ontology to the most suitable entity (or entities) in another ontology. Usually it is almost impossible to find a perfect match in the second ontology for every entity in the first ontology, so a matcher generally returns a set of possible matches with some weights (uncertainty) attached to each pair of match. In order to improve a matching result, several matchers can be used and the matched results from these matchers are combined with suitable approaches. In this paper, we first propose two new matchers among three matchers we use. We then address the need of dealing with uncertainties in mapping by investigating how some uncertainty reasoning frameworks can be used to combine matching results. We apply both the Dempster Shafer theory of evidence (DS theory) and Possibility Theory to merge the results computed by different matchers. Our experimental results and comparisons with related work indicate that integrating these theories to deal with uncertain ontology matching is a promising way to improve the overall matching results.