Hiponimy miejsca w polskiej Słowosieci i amerykańskiej bazie WordNet

W-kmeans: Clustering News Articles Using WordNet

Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed suffering however from problems like synonymy, ambiguity and lack of a descriptive content marking of the generated clusters. We are proposing the enhancement of standard kmeans algorithm using the external knowledge fro...

Automatic Construction of Persian ICT WordNet using Princeton WordNet

WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical relations. WordNet is essentially used for word sense disambiguation, information retrieval, and text translation. In this paper, we propose s...

Detection , classification and fault location in HV lines using travelling waves

The article describes the travelling wave algorithm of detection, classification and fault location based on wavelet transform, which precisely locates faults in HV lines. The automatic procedure of testing of the algorithm is presented, which enables to perform many simulations. The best version of algorithm is determined. Streszczenie. W artykule przedstawiono falowy algorytm detekcji, klasyf...

WordNet, EuroWordNet and Global WordNet

1 WordNet In 1978, George Miller started the development of a database with conceptual relations, as an implementation of a model of the mental lexicon. The database, called WordNet, was organized around the notion of a synset between which semantic relations are expressed. A synset is a set of words with the same part-of-speech that can be interchanged in a certain context. For example, {car; ...

Graded Radical W Type Lie Algebras I