Many virulence genes have been detected in attenuated mutants of Brucella melitensis 16 M; nevertheless, a complete report of these genes, including the main Cluster of Orthologous Groups (COG) represented as well as the taxonomical distribution among all complete bacterial and archaeal genomes, has not been analyzed. In this work a total of 160 virulence genes that have been reported in attenu...

“ eutral” electronic marketplaces fail because their structure and mode of operation does not allow for the effective accommodation of multiple business models that could serve the interests of a critical mass of adopters. We propose a fresh approach for the creation of economically viable “neutral” electronic marketplaces showing that this can be accomplished through the ability to transcend t...

Hierarchical text classification for a large-scale Web taxonomy is challenging because the number of categories hierarchically organized is large and the training data for deep categories are usually sparse. It’s been shown that a narrow-down approach involving a search of the taxonomical tree is an effective method for the problem. A recent study showed that both local and global information f...

The cross-fertilization between advanced data modeling technologies (as aimed in the Semantic Web) and NLP is a very interesting research line. In this paper, we investigate a solution of a particular problem in this area: the intregration between a concept hierarchies (DCH) with a general-purpose linguistic knowledge base (LKB). The method we propose relies only on the taxonomical knowledge of...

We presented our approach to ascription of intensional ontologies to societies of agents at UKMAS-99. The idea of an intensional ontologies is based on a pragmatic theory of intensionality. The work we presented included a mechanism for retrieving taxonomical relations from the intensional ontologies. Both the process of ascription of ontologies and the retrieval of taxonomical relations were i...

Polysemy is one of the most difficult problems when dealing with natural language resources. Consequently, automated ontology learning from textual sources (such as web resources) is hampered by the inherent ambiguity of human language. In order to tackle this problem, this paper presents an automatic and unsupervised method for disambiguating taxonomies (the key component of a final ontology)....

When producing textual descriptions, humans express propositions regarding an object; but what do they express when annotating a document with simple tags? To answer this question, we have studied what users of tagging systems would have said if they were to describe a resource with fully fledged text. In particular, our work attempts to answer the following questions: if users were to use full...