OntoDNA is an automated ontology mapping and merging system that utilizes unsupervised data mining methods, comprising of Formal Concept analysis (FCA), Self-Organizing map (SOM) a...
The volume of biomedical literature is increasing at such a rate that it is becoming difficult to locate, retrieve and manage the reported information without text mining, which a...
Irena Spasic, Sophia Ananiadou, John McNaught, Ana...
The objective of the Market Blended Insight (MBI) project is to develop web based techniques to improve the performance of UK Business to Business (B2B) marketing activities. The a...
Landong Zuo, Manuel Salvadores, S. M. Hazzaz Imtia...
The integration of heterogeneous data sources with even heterogeneous semantic meanings poses a challenge for data and system integrators. Ontology Alignment (OA) tries to identif...
Thomas Moser, Kathrin Schimper, Richard Mordinyi, ...
Resolving the semantic heterogeneity problem is crucial to allow interoperability between ontology-based systems. Ontology matching based on argumentation is an innovative research...