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2015 12th Web Information System and Application Conference (WISA)最新文献

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An Approach for Mapping Relational Database into Ontology 关系数据库到本体的一种映射方法
2015 12th Web Information System and Application Conference (WISA) Pub Date : 2015-09-01 DOI: 10.1109/WISA.2015.25
M. Hazber, Ruixuan Li, Yuxi Zhang, Guandong Xu
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引用次数: 18
Research on Semantic++ Computing Based on Big Data Environment 基于大数据环境的语义++计算研究
2015 12th Web Information System and Application Conference (WISA) Pub Date : 2015-09-01 DOI: 10.1109/WISA.2015.43
Ye Liang, Guigang Zhang, Chunxiao Xing, Yong Zhang, C. Li
{"title":"Research on Semantic++ Computing Based on Big Data Environment","authors":"Ye Liang, Guigang Zhang, Chunxiao Xing, Yong Zhang, C. Li","doi":"10.1109/WISA.2015.43","DOIUrl":"https://doi.org/10.1109/WISA.2015.43","url":null,"abstract":"With the development of cloud computing and IoT, more and more data-intensive applications have come into being. It is very import to process the big data for these data-intensive applications. In this paper, we do some analysis about the basic concepts of big data and semantic++ computing. It includes the definition of big data, semantic computing and semantic++ computing. In this paper, we make a detail analysis about the semantic++ understanding based on big data. It mainly includes semantic++ storage of big data resources, semantic++ information acquirement of big data resources, semantic++ resources management, semantic++ processing of big data, semantic++ service of big data, semantic++ security and privacy of big data, semantic++ interface and applications based on big data. Two kinds of semantic++ applications are proposed. In this paper, a semantic++ search and recommendation system framework is analyzed. Finally, the simulation experiment shows that the semantic++ search and recommendation method is more efficient than the traditional method.","PeriodicalId":198938,"journal":{"name":"2015 12th Web Information System and Application Conference (WISA)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121919178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Short Text Sentiment Entropy Optimization Based on the Fuzzy Sets 基于模糊集的短文本情感熵优化
2015 12th Web Information System and Application Conference (WISA) Pub Date : 2015-09-01 DOI: 10.1109/WISA.2015.22
Tao Jiang, Bin Yuan, Jing Jiang, Hongzhi Yu
{"title":"Short Text Sentiment Entropy Optimization Based on the Fuzzy Sets","authors":"Tao Jiang, Bin Yuan, Jing Jiang, Hongzhi Yu","doi":"10.1109/WISA.2015.22","DOIUrl":"https://doi.org/10.1109/WISA.2015.22","url":null,"abstract":"Short text is the most commonly used form of expression in the network. As short texts like microblog do not provide sufficient word occurrences, sentiment classification methods that use traditional approaches have limitations. In this paper, we propose a short text sentiment classification model called FECEM base on short text entropy optimization method. This method first selects sentiment features based on expectation cross entropy, and then fuzzy sets is used to correct the degree of the comment words. Experiments show that our method is more efficient than the SVM+Maximum Entropy and SVM+ chi-square methods, and this new method is robust across different types of short text.","PeriodicalId":198938,"journal":{"name":"2015 12th Web Information System and Application Conference (WISA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115591978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Social Emotion Analysis System for Online News 面向网络新闻的社会情感分析系统
2015 12th Web Information System and Application Conference (WISA) Pub Date : 2015-09-01 DOI: 10.1109/WISA.2015.48
Peng Nie, Xue Zhao, Li Yu, Chao Wang, Y. Zhang
{"title":"Social Emotion Analysis System for Online News","authors":"Peng Nie, Xue Zhao, Li Yu, Chao Wang, Y. Zhang","doi":"10.1109/WISA.2015.48","DOIUrl":"https://doi.org/10.1109/WISA.2015.48","url":null,"abstract":"Social emotion analysis of online users has become an important task for mining public opinions, which aims at detecting the readers' emotions evoked by online news articles. In this paper, we focus on building a social emotion analysis system (SEAS) for online news. The system has implemented a text data crawler for mainstream online news websites, the modules of document preprocessing, document representation, and also integrates successful emotion analysis methods and provides the corresponding performance evaluation. SEAS will automatically analyze the emotions towards certain news articles and output the predicted emotions and probabilities of being classified into these emotion categories. The experiments on the real dataset from online news service demonstrate the high practicability and reliability of SEAS.","PeriodicalId":198938,"journal":{"name":"2015 12th Web Information System and Application Conference (WISA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115338512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
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