We describe a framework where formal models can be rigorously defined and compared, and their interconnections can be unambiguously specified. We use trace algebra and trace struc...
Jerry R. Burch, Roberto Passerone, Alberto L. Sang...
We present a method for automatically creating large-scale semantic networks from natural language text, based on deep semantic analysis. We provide a robust and scalable implement...
Pia-Ramona Wojtinnek, Brian Harrington, Sebastian ...
Ontology matching is a promising step towards the solution to the interoperability problem of the Semantic Web. Instance-based methods have the advantage of focusing on the most ac...
Balthasar A. C. Schopman, Shenghui Wang, Stefan Sc...
We present a novel approach for multilingual document clustering using only comparable corpora to achieve cross-lingual semantic interoperability. The method models document colle...
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...