A great deal of information on the Web is represented in both textual and structured form. The structured form is machinereadable and can be used to augment the textual data. We c...
Within the larger area of automatic acquisition of knowledge from the Web, we introduce a method for extracting relevant attributes, or quantifiable properties, for various class...
Recent research in domain-independent information extraction holds the promise of an automatically-constructed structured database derived from the Web. A query system based on th...
Social networks play important roles in the Semantic Web: knowledge management, information retrieval, ubiquitous computing, and so on. We propose a social network extraction syst...
The main claim of this paper is that machine learning can help integrate the construction of ontologies and extraction grammars and lead us closer to the Semantic Web vision. The p...