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2016 13th Web Information Systems and Applications Conference (WISA)最新文献

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Sentiment Analysis of Chinese Micro-Blog Based on Classification and Rich Features 基于分类和富特征的中文微博情感分析
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.22
Jiayuan Ding, Yongquan Dong, Tongfei Gao, Zichen Zhang, Yali Liu
{"title":"Sentiment Analysis of Chinese Micro-Blog Based on Classification and Rich Features","authors":"Jiayuan Ding, Yongquan Dong, Tongfei Gao, Zichen Zhang, Yali Liu","doi":"10.1109/WISA.2016.22","DOIUrl":"https://doi.org/10.1109/WISA.2016.22","url":null,"abstract":"With the development of the Web2.0, micro-blogs gradually become a common essential part of the public life. The reviews in the micro-blogs have huge hidden value. Many machine learning approaches have been used to solve sentiment analysis. However, the features used in existing researches are still not enough. To improve the accuracy of sentiment analysis, in this paper, we use a classification approach to solve two tasks of sentiment analysis: identifying opinion sentence and judging sentiment polarity of the emotional sentence. And we incorporate five kinds of features: sentiment lexicons-based features, N-POS(part of speech combination)-based features, pattern-based features, special symbols-based features and length-based features to train seven classifiers and compare their performance. Experimental result shows that Random Forest classifier achieves the best performance.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"182 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116706609","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: 9
Location-Based Two-Phase Clustering for Web Service QoS Prediction 基于位置的两阶段聚类Web服务QoS预测
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.12
Yuan Yuan, Weishi Zhang, Xiuguo Zhang
{"title":"Location-Based Two-Phase Clustering for Web Service QoS Prediction","authors":"Yuan Yuan, Weishi Zhang, Xiuguo Zhang","doi":"10.1109/WISA.2016.12","DOIUrl":"https://doi.org/10.1109/WISA.2016.12","url":null,"abstract":"Quality-of-Service (QoS) is widely employed for describing non-functional characteristics of Web services. QoS prediction for Web services is a hot research problem in service computing. Collaborative Filtering (CF) has been widely used as a prediction technique. However, CF may suffer from data scarcity problem, which causes unreliable prediction. In this paper, we propose a novel location-based two-phase clustering QoS prediction method (LCQP). The two-phase clustering process respectively clusters users and services into the corresponding user clusters and service clusters according to their location information. Then we can apply the CF method by the clustering information instead of individual user and service information. So that there is more information to be used and it will contribute to promote the prediction accuracy. The experimental results showed that our approach could achieve not only higher prediction accuracy, but also lower computation time than other CF-based methods.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124312252","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
Towards Systematic Analysis and Summary of DUV-Based Dataset Usage Information 基于duv的数据集使用信息的系统分析与总结
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.42
Zhaoheng Liu, Zhuoming Xu, Xiutao Xia
{"title":"Towards Systematic Analysis and Summary of DUV-Based Dataset Usage Information","authors":"Zhaoheng Liu, Zhuoming Xu, Xiutao Xia","doi":"10.1109/WISA.2016.42","DOIUrl":"https://doi.org/10.1109/WISA.2016.42","url":null,"abstract":"The forthcoming Dataset Usage Vocabulary (DUV) standard under development by the W3C Data on the Web Best Practices Working Group can be used to describe and share dataset usage information on the Web, thus facilitating better communication between data publishers and consumers. Despite the significant progress in the standardization, there is a lack of systematic research on approaches and tools for analyzing and summarizing DUV-based dataset usage information to promote the re-use of data. This paper therefore proposes a Framework for Analysis and Summary of DUV-based Dataset Usage Information (FASDUI). FASDUI can provide users (data publishers and consumers) with a friendly user interface designed according to DUV's Citation Model, Usage Model, and Feedback Model, and employ automatic algorithms to systematically analyze dataset usage data and then present the summarized usage information in the user interface. Our prototype implementation of FASDUI and preliminary experimental results show that FASDUI is feasible and implementable.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130314948","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
A Health QA with Enhanced User Interfaces 具有增强用户界面的运行状况QA
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.43
Jie Li, Hongxia Liu, Yong Zhang, Chunxiao Xing
{"title":"A Health QA with Enhanced User Interfaces","authors":"Jie Li, Hongxia Liu, Yong Zhang, Chunxiao Xing","doi":"10.1109/WISA.2016.43","DOIUrl":"https://doi.org/10.1109/WISA.2016.43","url":null,"abstract":"Health related Question Answering (QA) systems have proven to be useful to patients. However, most of the QA systems focus on improving system performance against a standard set of questions, but neglect the problem of designing effective user interfaces. We build a health QA with enhanced user interface which includes three formats – single answer, list of fragments and combination of fragments. At the same time, we add entities into the re-ranking of the candidate answers and result display to help patients better understand the relationship between question and answer. The experiment proves the effectiveness of our method.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130183627","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: 3
An Intelligent Test Paper Generation Method Based on Genetic Particle Swarm Optimization 基于遗传粒子群优化的智能试卷生成方法
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.46
Zhenfeng Hu, Chunxiao Xing
{"title":"An Intelligent Test Paper Generation Method Based on Genetic Particle Swarm Optimization","authors":"Zhenfeng Hu, Chunxiao Xing","doi":"10.1109/WISA.2016.46","DOIUrl":"https://doi.org/10.1109/WISA.2016.46","url":null,"abstract":"This paper mainly studies an intelligent test paper generation method based on genetic particle swarm optimization. Firstly, this paper introduces the index system and the constraint condition of the intelligent test paper generation. Moreover, this paper proposes the intelligent test paper generation method that combines an improved adaptive genetic algorithm with particle swarm optimization. In the algorithm, the initial population is generated using the particle swarm optimization by designing proper chromosome coding and then determining the fitness function. Next, new population are obtained by processing the initial population using the genetic algorithm. As a result, operation results are output. At last, this paper analyzes the factors that affect the result of intelligent test paper generation through experimental verification. The research shows that the genetic particle swarm optimization's operation speed is very fast and its operation results are much accurate.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122677755","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
A Case Study of Mining and Correlation Analysis of Public Security Events in Heterogeneous and Unstructured Web Messages 异构非结构化Web消息中公共安全事件的挖掘与关联分析
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.32
Yinghui Wang, Bo Wang, Xuelun Li
{"title":"A Case Study of Mining and Correlation Analysis of Public Security Events in Heterogeneous and Unstructured Web Messages","authors":"Yinghui Wang, Bo Wang, Xuelun Li","doi":"10.1109/WISA.2016.32","DOIUrl":"https://doi.org/10.1109/WISA.2016.32","url":null,"abstract":"Incidents of public security have an ascendant trend in recent years all over the world, and it is more important to understand the correlation of different kinds of public security incidents. With the popularization of the Internet, numerous web messages can provide resources to do that. However, an important challenge is that the web messages are often heterogeneous and unstructured. In this paper, we propose a methodology to extract events from noisy web messages automatically. Then, based on the essence and the propagation features of event ontologies, we analyze the correlation between three typical kinds of public security incidents in China. With a heterogeneous dataset containing microblog messages and news reports during 2011-2014, the case study shows that our methodology can locate the security event on timeline with an error less than 1 day. Furthermore, the analysis from multiple views not only reveals the correlation between different kinds of public security event, but also reveals the difference between the heterogeneous resources of news report and microblog.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130037971","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
A New Method of K-Means Clustering Algorithm with Events Based on Variable Time Granularity 一种基于变时间粒度事件的k -均值聚类算法
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.18
Mengxing Huang, Hongji Lin
{"title":"A New Method of K-Means Clustering Algorithm with Events Based on Variable Time Granularity","authors":"Mengxing Huang, Hongji Lin","doi":"10.1109/WISA.2016.18","DOIUrl":"https://doi.org/10.1109/WISA.2016.18","url":null,"abstract":"According to the characteristics of Weibo event, this paper analyzes the advantages and disadvantages of the traditional K-means algorithm, and proposes the K-means clustering algorithm of events based on variable time granularity. The experiments show that the improved algorithm is more suitable for clustering analysis of Weibo event, improves the efficiency of clustering algorithm, and solves the initial cluster centers sensitive issue, compared with the traditional K-means algorithm.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116849106","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: 3
Effective Privacy Preservation over Composite Events with Markov Correlations 马尔可夫关联复合事件的有效隐私保护
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.50
Fangfan Li, Ning Wang, Yu Gu, Zhe Chen
{"title":"Effective Privacy Preservation over Composite Events with Markov Correlations","authors":"Fangfan Li, Ning Wang, Yu Gu, Zhe Chen","doi":"10.1109/WISA.2016.50","DOIUrl":"https://doi.org/10.1109/WISA.2016.50","url":null,"abstract":"With the rapid development of radio frequency identification (RFID) and sensor networks, complex event processing (CEP) has attracted extensive attention. Meanwhile, privacy preservation techniques towards composite events are becoming increasingly important. However, practical applications may generate a large number of uncertain data due to inaccurate reading and missing reading. An effective method to model such uncertain data is leveraging the Markov model while conducting CEP over it may cause severe privacy leakage. In this paper, we focus on the privacy preservation on the composite events modeled by Markov chains. Due to the inherent uncertainty and correlations of the data, traditional techniques for privacy preservation fail to support the problem. Specifically, we propose two methods (Type_S and Instance_S) with different optimization goals in processing efficiency and the published result amount. The empirical evaluation verifies the efficiency and applicability of our proposed methods.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126918272","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
Active Customization-Oriented Adaptive SOA with Runtime Exception Handling 带有运行时异常处理的主动面向定制的自适应SOA
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.30
Bin Wen, Ziqiang Luo, Yazhi Wen
{"title":"Active Customization-Oriented Adaptive SOA with Runtime Exception Handling","authors":"Bin Wen, Ziqiang Luo, Yazhi Wen","doi":"10.1109/WISA.2016.30","DOIUrl":"https://doi.org/10.1109/WISA.2016.30","url":null,"abstract":"Service has become the basic way to access and enlarge the capability of all kinds of infrastructure. But now, service-based software system based on SOA lacks of runtime iterative re-aggregation process management and exception handling. And current approaches can't align services aggregation with requirements to overcome the runtime exceptions and deal with services resource insufficiency and context changes. This paper concentrates on the adaptability of service-based system, i.e. runtime exception handling mechanism driven by personalized requirements. The following progresses have been achieved. (1) Service requester-centric adaptive SOA with runtime exception handling has been investigated. (2) Mathematical basis and related algorithm for adaptive SOA have been built and verified. Combination of theoretical research and empirical validation, the paper tries to provide a technical operational and cost-effective solution for SOA with adaptive mechanism and promoting the adaptive ability for runtime requirements evolution.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130716311","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: 1
File Sharing Strategy Based on WebRTC 基于webbrtc的文件共享策略
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.11
Duan Quanfeng, Liang Zhenghe
{"title":"File Sharing Strategy Based on WebRTC","authors":"Duan Quanfeng, Liang Zhenghe","doi":"10.1109/WISA.2016.11","DOIUrl":"https://doi.org/10.1109/WISA.2016.11","url":null,"abstract":"File-sharing is an important feature for web real-time applications. The traditional way of implement file-sharing is uploading files to file server by a sender, then receivers can download and display on browsers in time. With the increasing awareness of the data security, the way hosting file data by a third party server can not meet the needs of users. Discarding the server side seems like a good idea, then file data can be send directly among browsers, but there is no pure web technique can achieve the function of peer-to-peer connection until Web Real-Time Communication technology(WebRTC). We design and implement a file sharing strategy among browsers by WebRTC and related HTML5 technology. Experimental result indicates that our method achieve efficient transmission performance.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124803354","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
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