A popular tradition of studying semantic representation has been driven by the assumption that word meaning can be learned from the linguistic environment, despite ample evidence suggesting that language is grounded in perception and action. In this paper we present a comparative study of models that represent word meaning based on linguistic and perceptual data. Linguistic information is appro...

We study the problem of computing semantic-preserving word clouds in which semantically related words are close to each other. While several heuristic approaches have been described in the literature, we formalize the underlying geometric algorithm problem: Word Rectangle Adjacency Contact (WRAC). In this model each word is a rectangle with fixed dimensions, and the goal is to represent semanti...

As the Internet users’ communities and information on web are increasing exponentially, that too associated with a wide range of different cultures languages; meaningful search in multilingual setting is required. It crucial to develop simple use, granular, adaptable knowledge representation system could constitute core Semantic Web. should be well-prepared for multicultural settings by virtue ...