In this paper, we discuss how our work on evaluating Semantic Web knowledge base systems (KBSs) contributes to address some broader AI problems. First, we show how our approach pr...
We present algorithms based on truth-prefixed tableaux to solve both Concept Abduction and Contraction in ALN DL. We also analyze the computational complexity of the problems, sho...
Simona Colucci, Tommaso Di Noia, Eugenio Di Sciasc...
As the set of available Web Services expands, it becomes increasingly important to have automated tools to help identify services that match a requester's requirements. Findi...
During the last decade, teams working on information technology (IT) development and implementation projects have experienced significant transformations. Nowadays, many members o...
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...