Answer-set programming (ASP) is widely recognised as a viable tool for declarative problem solving. However, there is currently a lack of tools for developing answer-set programs....
Abstract. In this paper, we introduce a framework composed of a syntax and its compositional Petri net semantics, for the specification and verification of properties (like authent...
Roland Bouroulet, Raymond R. Devillers, Hanna Klau...
Conceptual-relational mappings between conceptual models and relational schemas have been used increasingly to achieve interoperability or overcome impedance mismatch in modern dat...
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Abstract. Transactional memory (TM) has recently emerged as an effective tool for extracting fine-grain parallelism from declarative critical sections. In order to make STM systems...
Lukasz Ziarek, Adam Welc, Ali-Reza Adl-Tabatabai, ...