Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
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
Negotiation-Based Price Discrimination for Information Goods
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
A framework for modeling and evaluating automatic semantic reconciliation
The VLDB Journal — The International Journal on Very Large Data Bases
Automatic ontology matching using application semantics
AI Magazine - Special issue on semantic integration
Managing uncertainty in schema matching with top-k schema mappings
Journal on Data Semantics VI
ODE: Ontology-assisted data extraction
ACM Transactions on Database Systems (TODS)
A semantic management model to enable the integrated management of media and devices
Multimedia Tools and Applications
An unsupervised approach for acquiring ontologies and RDF data from online life science databases
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Learning to discover complex mappings from web forms to ontologies
Proceedings of the 21st ACM international conference on Information and knowledge management
Towards a More Scalable Schema Matching: A Novel Approach
International Journal of Distributed Systems and Technologies
Hi-index | 0.00 |
Ontologies, formal specifications of domains, have evolved in recent years as a leading tool in representing and interpreting Web data. The inherent heterogeneity of Web resources, the vast amount of information on the Web, and its non-specific nature requires a semantically rich tool for extracting the essence of Web source content. The OntoBuilder project [5] supports the extraction of ontologies from Web interfaces, ranging from simple Search Engine forms to multiple-pages, complex reservation systems. Ontologies from similar domains are then matched to identify ontology mappings.