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Semantic recommendation using linked open data by property analysis

作者:???
畢業學校:國立高雄大學
出版單位:國立高雄大學
核准日期:2015-09-25
類型:Electronic Thesis or Dissertation
權限:Copyright information available at source archive--National University of Kaohsiung....

中文摘要

?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????
?????????????????????????????????????????????????LOD Cloud???????????????????????????????????????????LOD????????????????????????????????????????????
???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????LOD??????????????

英文摘要

Issues on open data have attracted lots of attention from researchers and practitioners of various areas. Besides simply publicizing the data, linked open data (LOD) provide excessive information on relations among data items. Such relations can be used to furniture various tasks for possible performance improvement. In this work, we try to suggest an approach which incorporates semantic information provided through the links in LOD for resource recommendation. Experiments are undergoing on movie recommendation task. We expect that the proposed method can effectively improve the performance on similar tasks.


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