This paper presents a semantic-aware classification algorithm that can leverage the interoperability among semantically heterogeneous learning object repositories using different ...
Ming-Che Lee, Kun Hua Tsai, Tung Cheng Hsieh, Ti K...
The Semantic Web is being designed to enable automated reasoners to be used as core components in a wide variety of Web applications and services. In order for a client to accept ...
Paulo Pinheiro da Silva, Deborah L. McGuinness, Ri...
The goal of this paper is to analyse semantics of algorithms with explicit continuous time with further aim to nd approaches to automatize model checking in high level, easily unde...
We introduce tiered clustering, a mixture model capable of accounting for varying degrees of shared (context-independent) feature structure, and demonstrate its applicability to i...
This paper aims to simplify recent efforts proposed by the Berkeley school in giving a formal semantics to the Ptolemy toolbox. We achieve this by developing a simple and elegant ...
Paul Caspi, Albert Benveniste, Roberto Lublinerman...