We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
Abstract. In this paper we present a method based on fuzzy computing with words to measure the informative quality of Web sites used to publish information stored in XML documents....
This paper describes SODA a novel ontology alignment method for the OWL-DL format. SODA uses a new approach that consists in computing local and semantic similarities among ontolog...
Sami Zghal, Sadok Ben Yahia, Engelbert Mephu Nguif...
In this paper, we present a case study for measuring inter-annotator agreement on a linguistic ontology for spatial language, namely the spatial extension of the Generalized Upper...
Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...