in WordNet is also considered in recent researches. Many researches that use WordNet, have calculated similarity between each pair-word by considering Depth of Subsumer of the words and Shortest Path between them. In this paper we have improved semantic...

in WordNet is also considered in recent researches. Many researches that use WordNet, have calculated similarity between each pair-word by considering Depth of Subsumer of the words and Shortest Path between them. In this paper we have improved semantic...

Ontology partitioning is a good solution to overcome challenges of large ontologies such as reusability, scalability, complexity and maintenance. The languages of ontology such as OWL do not allow partial reuse and one ...

Modularization is a key requirement to manage the size and complexity

of large ontologies by replacing each one by a set of smaller ontologies.

Two reasons for this requirement are that current ontology ...

Word and concept similarity assessment is one of the most important elements in natural language processing and information and knowledge retrieval. Word-Net, as a popular concept hierarchy, is used in many such applications. ...

semantic similarity measure by modifying transfer functions of the previous research. We have tuned parameters of the transfer functions using particle swarm optimization. Based on our experimental results on a benchmark set by human similarity judgment...

SRL and WordNet semantic similarity for Persian language. In the previous approaches, the focus was on the sentence features (local view) as the main and basic unit of text. In this paper, the sentences are selected based on the main context hidden...