A systematic form of creative knowledge discovery is outlined, requiring taxonomies to generalise knowledge structures and mappings between taxonomies to find parallels between knowledge structures from different domains. These share many of the features needed to handle uncertainty in the semantic web, and results will be relevant to the URSW community.

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)....

Partonomies, such as body parts, like taxonomies, such as the animal kingdom, are hierarchical organizations of knowledge based on an asymmetric, transitive relation, part of or kind of. This article reports exploratory work on children's partonomic knowledge, and the relation between partonomic knowledge and use of taxonomic organization. Because parts are elements of both appearance and funct...

In this paper we face the automatic construction of a lexical taxonomy for the Spanish language using as input a taxonomy of English (WordNet)1 and a set of bilingual (English/Spanish) resources. Although applied to Spanish/English our method claims to be general enough to be applied in the cases a skeletal taxonomy already exists and we dispose of methods for mapping items to this taxonomy wit...

The GALEN prALogramme has been developing medical ontologies collaboratively for nearly a decade. The ontologies are large and formulated in a specialised description logic, GRAIL. The programme is a broad collaboration of over a dozen groups, most with no prior experience of developing formal ontologies. The programme has developed a methodology for loosely coupled development using layers of ...