Natural language understanding systems make use of language and/or world knowledge bases. One of the salient problems of meaning representation and knowledge structure is the modelling of its acquisition and modiication from natural language processing. Based upon the statistical analysis of discourse, a formal representation of vague word meanings is derived which constitutes the lexical struc...

This presentation focuses on the semi-automatic extension of Arabic WordNet (AWN) using lexical and morphological rules and applying Bayesian inference. We briefly report on the current status of AWN and propose a way of extending its coverage by taking advantage of a limited set of highly productive Arabic morphological rules for deriving a range of semantically related word forms from verb en...

Normally, the tense and aspect systems of natural languages do not coincide and the correct translation of the tense forms needs a semantic analysis of the text or sentence which uses these forms. The problem with semantic representations is that, often, ambiguities cannot be resolved, though a remarkable effort of inferencing has been invested to the effect that the analysis of the source text...

Anticipating and responding to a partner's emotional reactions are key components in the comprehension of daily social discourse. Kindergarten children with language impairment (LI) and age-matched controls (CA) were asked to label facial expressions depicting 1 of 4 emotions (happy, surprised, sad, mad) and to identify those expressions when given a verbal label. Children then chose among thes...

To address the requirement of enabling a comprehensive perspective of life-sciences data, Semantic Web technologies have been adopted for standardized representations of data and linkages between data. This has resulted in data warehouses such as UniProt, Bio2RDF, and Chem2Bio2RDF, that integrate different kinds of biological and chemical data using ontologies. Unfortunately, the ability to pro...

Goal of the project is to create a robust, fault tolerant, agent-based monitoring system, which is capable of working in cloud/Grid type environment with zero configuration. Created solution should be helpful for system administrators (of a clouds / Grids). To provide additional information about the situation a rule-based inferencing system is going to be included in it. It can be used to prov...

Artificial Neural Networks (ANNs) are widely and successfully used in speech recognition, but still many limitations are inherited to their topologies and learning style. In an attempt to overcome these limitations, we combine in a speech recognition hybrid system the pattern processing of ANNs and the logical inferencing of symbolic approaches. In particular, we are interested in the Connectio...

Recent years have seen an exponential growth in the amount of multilingual text available on the web. This situation raises the need for novel applications for organizing and accessing multilingual content. Common examples of such applications include Multilingual Topic Tracking, Cross-Language Information retrieval systems etc. Most of these applications rely on the availability of multilingua...

Normally, the tense and aspect systems of natural languages do not coincide and the correct translation of the tense forms needs a semantic analysis of the text or sentence which uses these forms. The problem with semantic representations is that, often, ambiguities cannot be resolved, though a remarkable effort of inferencing has been invested to the effect that the analysis of the source text...

The growing inferencing and knowledge linking power of the Semantic Web will, we all hope, make the world a better place: enrich democratic discourse, support more rapid scientific discovery, enable new forms of personal communication and culture, and generally enhance critical analysis of information. However, with this greater inferencing power comes daunting social and public policy question...