We present two algorithms for supporting semi-automatic ontology building, integrated in WPro, a new architecture for ontology learning from Web documents. The first algorithm auto...
Daniele Bagni, Marco Cappella, Maria Teresa Pazien...
This paper proposes a method of using ontology hierarchy in automatic topic identification. The fundamental idea behind this work is to exploit an ontology hierarchical structure i...
This paper describes Eksairesis, a system for learning economic domain knowledge automatically from Modern Greek text. The knowledge is in the form of economic terms and the seman...
It is important to automatically extract key information from sensitive text documents for intelligence analysis. Text documents are usually unstructured and information extraction...
The World-Wide Web consists not only of a huge number of unstructured texts, but also a vast amount of valuable structured data. Web tables [2] are a typical type of structured in...
Cindy Xide Lin, Bo Zhao, Tim Weninger, Jiawei Han,...