RESEARCH AND IMPLEMENTATION OF ANNOTATION ALGORITHM FOR WALKTHROUGH TEXT BASED ON DOMAIN ONTOLOGY
摘要:
Nowadays, game web portals set up plenty of websites, providing game information and related walkthroughs,for players to enhance their gaming experience. However,these sites has obvious isomerism and lacks unified hierarchy. Thus,an annotation algorithm based on domain ontology is proposed. It is started with a data fusion step from a set of web portals to build a game domain ontology. Meanwhile,the neologism discovering algorithm is optimized according to its application in game domain,and the semantic annotation for walkthrough text is further developed. Thus these semantic tags not only embody the intent of each guides,but also serve the semantic search for walkthrough text. Experiments have proved that the proposed ontology construction method is scalable. Moreover,the optimized domain vocabulary discovering algorithm has a better result compared with the traditional segmentation tools.
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年份:
2017
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