Interoperability is one of the major design objectives when building applications for B2B and Semantic Web applications. In this paper, we present a methodology for engineering semantic knowledge such that these semantic structures are easier reusable when switching between several representation languages. For this purpose, we reconsider the commonalities of representation languages and their ...

Abstract Meaning Representation (AMR) is a semantic representation language used to capture the meaning of English sentences. In this work, we propose an AMR parser based on dependency parse rewrite rules. This approach transfers dependency parses into AMRs by integrating the syntactic dependencies, semantic arguments, named entity and co-reference information. A dependency parse to AMR graph a...

eBusiness achieves business goals using information and knowledge exchange to enable execution of inter-organizational business activities and support decision making underlying these activities. Mechanisms for knowledge transparency through standardized knowledge representation, storage, use, and sharing are essential to realize these goals. This paper addresses of knowledge integration and ma...

Visual information has been widely used for image representation. Although proven very effective, the visual representation lacks explicit semantics. However, how to generate a proper semantic space for image representation is still an open problem that needs to be solved. To jointly model the visual and semantic representations of images, we propose a boosted random contextual semantic space b...