EuroWordNet data

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To maximize the uniform encoding of the wordnets, we have classified the Base Concepts using a Top Ontology, specifically been designed for this purpose. The Top Ontology is based on existing linguistic classifications and is adapted to represent the diversity of the Base Concepts. It is important to realize that the Top Concepts represent semantic features that can either be applied as disjunctively or conjunctively. In the latter case it is possible to get complex clusters of features, such as: Container+Part+Object+Natural, which could apply to "seed case". Click BC Clustering Overview Image to see some examples how BCs can be clustered.

The first level of the Top Ontology is divided into three types:

For a further explanation of the Top Ontology and the Base Concept selection see the deliverable Deliverable D017d034d036, which is available as zipped RTF or zipped PostScript file. The data is available as: In addition to classifying the 1024 Common Base Concepts, we have also constructed a reduced set of 164  Core Base Concepts that occur in 3 or more wordnets as important meanings. The can be accessed separately. They are listed as WordNet1.5 synsets with glosses, their WordNet1.5 hyperonym and the EuroWordNet Top Concepts that have been applied. By clicking on the links either the EuroWordNet Top Ontology is activated or the WordNet1.5 hyponymy tree. Finally, we have reduced the 164 Core Base Concepts to 71 Base Types. The reduction involved removing unbalanced hyponyms (when both the hyperonym and hyponym are present but not other co-hyponyms) and by replacing closely related synsets (e.g. act and action) by a single Type. The Base Types can be seen as a minimalized list of fundamental concepts (semantic primitives or taxonomy tops). For each Base Type we have provided the mapping to the Core Base Concepts that it represents. The top-ontology work is related to other semantic projects, e.g.:  

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