A semantic coherence based intelligent search system

Abstract

The large-scale unordered sentences are springing up on the web since the massive novel web social Medias have emerged. Although those unordered sentences have rich information, they only provide users with incoherent information service because they have loose semantic relations. Users usually expect to obtain semantic coherent information service when they are facing massive unordered sentences. Unfortunately, general web search engines are not applicable to such issue, because they only return a flat list of unordered web pages based on keywords. In this paper, we propose a novel semantic coherence based intelligent search system. The search system can provide semantic coherence based search service, which includes choosing semantic coherent sentences and ranking the sentences by a semantic coherent way. When a user enters some semantic incoherent sentences as queries, our system can return a semantic coherent paragraph as search results. The process is demonstrated by a prototypical system and experiments are conducted to validate its correctness. The results of experiments have shown that the system can distinguish semantic coherent sentences from others and rank the sentences by a semantic coherent way with higher accuracy. © Springer International Publishing 2013.