Abstract:

General search engine lacks of extraction and retrieval of temporal semantic from the text content of the Web pages. To address the temporal query problem, the Temporal Semantic Relevancy Ranking (TSRR) algorithm is proposed by integrating the temporal information extraction and ranking functions. Firstly, the rule of the temporal regular expression is introduced to extract the temporal points or temporal intervals from the query keywords and the text content of the web pages. Secondly, the scores of web pages are reevaluated and the returned results are ranked according to the text relevancy and the temporal semantic relevancy. Experiments show that the TSRR algorithm precisely and effectively matches the keywords queries related to the temporal expression.

Key words: temporal semantic, information extraction, ranking, search engine