Text Entailment in Semantic Web World

Text Entailment is the concept of deter-mining whether the message conveyed by one sentence is exactly captured by an-other sentence or not. There have been various approaches discovered to deter-mine the entailment between a pair of sentences. We present a system using RDF (Resource Description Framework) approach that uses online free data avail-able for recognizing textual entailment. There are situations where an entity name in one sentence can be different from the entity name of another sentence, but they may actually belong to each other. We de-velop an approach for identifying entail-ment between two sentences using named entity resolution with the help of RDF, verb entailment and coreference resolu-tion. We present our results on the Recog-nizing Textual Entailment dataset (RTE-1 to RTE-3) and show that where our ap-proach stands amongst the approaches al-ready developed in this direction.