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ICTAI
2009
IEEE
15 years 6 months ago
Cross-Media Knowledge Extraction in the Car Manufacturing Industry
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...
José Iria, Spiros Nikolopoulos, Martin Mozi...
SEMWEB
2009
Springer
15 years 6 months ago
Towards Lightweight and Robust Large Scale Emergent Knowledge Processing
We present a lightweight framework for processing uncertain emergent knowledge that comes from multiple resources with varying relevance. The framework is essentially RDF-compatibl...
Vít Novácek, Stefan Decker
FLAIRS
2006
15 years 1 months ago
LARC: Learning to Assign Knowledge Roles to Textual Cases
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...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
WWW
2007
ACM
16 years 17 days ago
The use of XML to express a historical knowledge base
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...
MIDDLEWARE
2004
Springer
15 years 5 months ago
Platform Independent Model Transformation Based on Triple
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&...