{"title":"An Improved Knowledge Push Method Based on Semantic Similarities","authors":"Liu Li-na, Yu Zhi-lou","doi":"10.1109/MINES.2012.67","DOIUrl":null,"url":null,"abstract":"Knowledge is power and this adage conveys the importance of knowledge immutably, in the time of knowledge explosion, the way to acquire the necessary knowledge which enterprises or organizations need efficiently from the ocean of knowledge becomes the main problem, which the era of knowledge economy should face. This paper proposed an improved knowledge push method based on semantic similarity. We can take the initiative to push the knowledge to client what they interest and save the time required to query interesting knowledge from the vast resources. The experimental results show that our method has higher accuracy compared to the typical similarity calculation method.","PeriodicalId":208089,"journal":{"name":"2012 Fourth International Conference on Multimedia Information Networking and Security","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Multimedia Information Networking and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MINES.2012.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Knowledge is power and this adage conveys the importance of knowledge immutably, in the time of knowledge explosion, the way to acquire the necessary knowledge which enterprises or organizations need efficiently from the ocean of knowledge becomes the main problem, which the era of knowledge economy should face. This paper proposed an improved knowledge push method based on semantic similarity. We can take the initiative to push the knowledge to client what they interest and save the time required to query interesting knowledge from the vast resources. The experimental results show that our method has higher accuracy compared to the typical similarity calculation method.