Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...
The research community has noted the need to retrieve the instance level of an ontology from bulk data stored in external data sources (e.g., a relational database), in order to de...
Schema heterogeneity issues often represent an obstacle for discovering coreference links between individuals in semantic data repositories. In this paper we present an approach, w...
Andriy Nikolov, Victoria S. Uren, Enrico Motta, An...
Modern data centers are massive, and support a range of distributed applications across potentially hundreds of server racks. As their utilization and bandwidth needs continue to ...
Abstract. To aid in building high-performance computational environments, INTERLACE offers a framework for linking reusable computational engines in a heterogeneous distributed sy...