In this paper, we present a novel framework for machine learning-based cross-media knowledge extraction. The framework is specifically designed to handle documents composed of th...
We present a lightweight framework for processing uncertain emergent knowledge that comes from multiple resources with varying relevance. The framework is essentially RDF-compatibl...
In this paper, we present a learning framework for the semantic annotation of text documents that can be used as textual cases in case-based reasoning applications. The annotation...
Since conventional historical records have been written assuming human readers, they are not well-suited for computers to collect and process automatically. If computers could und...
Katsuko T. Nakahira, Masashi Matsui, Yoshiki Mikam...
Reuse is an important topic in software engineering as it promises advantages like faster time-to-market and cost reduction. Reuse s on an abstract level is more beneficial than o...
Andreas Billig, Susanne Busse, Andreas Leicher, J&...