As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
Abstract. With the advent of the Semantic Web, the question becomes important how to best combine open-world based ontology languages, like OWL, with closed-world rules paradigms. ...
The automated analysis of Feature Models (FMs) focuses on the usage of different logic paradigms and solvers to implement a number of analysis operations on FMs. The implementatio...
Sergio Segura, David Benavides, Antonio Ruiz Cort&...
The Internet makes it possible to share information (e.g. text, image, audio, video and other formats of data) across the globe. In this paper we look at collaborative Internet en...
Various forms of reasoning, the profusion of knowledge, the gap between neuro-inspired approaches and conceptual representations, the problem of inconsistent data input, and the ma...