English Translation Template Retrieval Based on Semantic Distance Ontology Knowledge Recognition Algorithm

With the rapid development of Internet, data information has begun to spread rapidly on and types fields involved are becoming more diverse. deepening internationalization, English also become a common entry for tourism. Relatively speaking, translation documents is agenda. The intricate literature put forward specialized vertical demand retrieval. Traditional retrieval systems usually use string matching algorithms search, but this technology cannot perform semantic expansion query conditions. In case “multiple words with one meaning” “polysemy word,” accuracy traditional decreases. order solve previously mentioned problems, study proposes based domain ontology technology. purpose semantically expand user’s conditions basis accurately understanding At same time, help constructed ontology, it provides accurate comprehensive services document experimental results show that, clustering entire dataset, number concepts in each article 61% before merging, which effectively reduces complexity network model. Therefore, validity concept merging algorithm proposed verified.