Traditionally, information extraction from web tables has focused on small, more or less homogeneous corpora, often based on assumptions about the use of <table> tags. A mul...
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
Abstract. In knowledge bases, the open world assumption and the ability to express variables may lead to an answer redundancy problem. This problem occurs when the returned answers...
A new postprocessing method based on adjusted contourlet transform is introduced in this paper for suppressing blocking artifacts (BA) in block-based discrete cosine transform (BD...
Haohao Song, Songyu Yu, Chen Wang, Li Song, Hongka...
Abstract. We present a method for rapid development of benchmarks for Semantic Web knowledge base systems. At the core, we have a synthetic data generation approach for OWL that is...