This paper is a presentation of ONTO-DLP, an extension of Disjunctive Logic Programming (DLP) for complex knowledge modelling. ONTO-DLP enhances DLP by constructs coming from othe...
Francesco Calimeri, Stefania Galizia, Massimo Ruff...
The main claim of this paper is that machine learning can help integrate the construction of ontologies and extraction grammars and lead us closer to the Semantic Web vision. The p...
This paper describes Mo’K, a configurable workbench that supports the development of conceptual clustering methods for ontology building. Mo’K is intended to assist ontology de...
Syntactically correct process models are not necessarily meaningful or represent processes that are feasible to execute. Specifically, when executed, the modeled processes might no...
In today's IT-centric, regulated and competitive environment, businesses rely more heavily on IT technologies. Organizations are often challenged by customers, business partn...
Alfred Ka Yiu Wong, Nandan Paramesh, Pradeep Kumar...