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...
To realize the Semantic Web, it will be necessary to make existing database content available for emerging Semantic Web applications, such as web agents and services, which use on...
Dejing Dou, Paea LePendu, Shiwoong Kim, Peishen Qi
Protein Data Integration approaches at the moment considers data sources as data repositories, but not as applications; which in turn may embody complex interactions with other da...
Amandeep S. Sidhu, Tharam S. Dillon, Elizabeth Cha...
Based on the limitations raised by existing approaches in the context of the Semantic Web, we propose a formalism, Web Sources Global Ontology (WebSOGO), a data meta-model for the...