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

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On the Performance of Intel SGX 论Intel SGX的性能
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.45
Chongchong Zhao, Daniyaer Saifuding, H. Tian, Yong Zhang, Chunxiao Xing
{"title":"On the Performance of Intel SGX","authors":"Chongchong Zhao, Daniyaer Saifuding, H. Tian, Yong Zhang, Chunxiao Xing","doi":"10.1109/WISA.2016.45","DOIUrl":"https://doi.org/10.1109/WISA.2016.45","url":null,"abstract":"As cloud computing is widely used in various fields, more and more individuals and organizations are considering outsourcing data to the public cloud. However, the security of the cloud data has become the most prominent concern of many customers, especially those who possess a large volume of valuable and sensitive data. Although some technologies like Homomorphic Encryption were proposed to solve the problem of secure data, the result is still not satisfying. With the advent of Intel SGX processor, which aims to thoroughly eliminate the security concern of cloud environment in a hardware-assisted approach, it brings us a number of questions on its features and its practicability for the current cloud platform. To evaluate the potential impact of Intel SGX, we analyzed the current SGX programming mode and inferred some possible factors that may arise the overhead. To verify our performance hypothesis, we conducted a systematic study on SGX performance by a series of benchmark experiments. After analyzing the experiment result, we performed a workload characterization to help programmer better exploit the current availability of Intel SGX and identify feasible research directions.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"7 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":"130370710","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: 45
Some Nonlocal Variational Models Along with Their Fast Algorithms 非局部变分模型及其快速算法
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.17
Shixiu Zheng, Zhenkuan Pan, J. Duan, Wenqi Lu, Cunliang Liu
{"title":"Some Nonlocal Variational Models Along with Their Fast Algorithms","authors":"Shixiu Zheng, Zhenkuan Pan, J. Duan, Wenqi Lu, Cunliang Liu","doi":"10.1109/WISA.2016.17","DOIUrl":"https://doi.org/10.1109/WISA.2016.17","url":null,"abstract":"Models based on local operators can't preserve texture information. Nonlocal models can be used for many image processing tasks. A main advantage of nonlocal models over classical PDE-based algorithms is the ability to handle textures and repetitive structures. Some nonlocal models along with their Split Bregman algorithms are proposed for image denoising, image inpainting, and image segmentation in this paper. Finally, numerical experiments are shown to validate the efficiency and effectiveness of the proposed models.","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":"130710196","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 Density-Based Seed-Centric Community Detection Algorithm 一种基于密度的种子中心社区检测算法
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.39
W. Liu, Mei Chen, Kun Liu, Yang Zhou, Xiaoyun Chen
{"title":"A Density-Based Seed-Centric Community Detection Algorithm","authors":"W. Liu, Mei Chen, Kun Liu, Yang Zhou, Xiaoyun Chen","doi":"10.1109/WISA.2016.39","DOIUrl":"https://doi.org/10.1109/WISA.2016.39","url":null,"abstract":"Although many different community detection algorithms have been proposed to detect community structures in complex networks, how to effectively detect community structures is still a great challenge. Seed-centric methods is one of the most effective solutions for community detection. To more, in this paper, we propose a novel density-based seed expansion algorithm, namely, DenSeC, which can easily find cores of communities. By taking nodes with higher density locally as cores of communities, DenSeC first detects cores by searching from sparsely connected area to densely connected area. Then, starting from cores, along the path from densely connected area to sparsely connected area, it constructs a community by iteratively adding nodes which are similar to the nodes in the community. Numerical experiments have verified the effectiveness of DenSeC.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"43 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":"129479442","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: 4
Study on Short Text Classification with Integrated Algorithm 基于集成算法的短文本分类研究
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.33
Dexin Zhao, Nana Du, Liangliang Qin
{"title":"Study on Short Text Classification with Integrated Algorithm","authors":"Dexin Zhao, Nana Du, Liangliang Qin","doi":"10.1109/WISA.2016.33","DOIUrl":"https://doi.org/10.1109/WISA.2016.33","url":null,"abstract":"With the rapid growth of the number of short text, how to effectively realize the automatic classification of short text is needed to be solved in the information domain. According to the characteristics of short text, this paper proposes Bagging_NB & Bagging_BSJ, which are two classification algorithms based on the improvement of current integrated classifiers. Traditional classifier NB, SVM, J48 are used as the basis classifiers to train the classification models. Compared with several individual classifiers, our methods have excellent results in a variety of classification evaluation indexes.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"18 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120894895","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
Answer Quality Prediction Joint Textual and Non-Textual Features 答案质量预测联合文本和非文本特征
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.38
Hongmei Liu, Jiuming Huang, Chao An, Xiaolei Fu
{"title":"Answer Quality Prediction Joint Textual and Non-Textual Features","authors":"Hongmei Liu, Jiuming Huang, Chao An, Xiaolei Fu","doi":"10.1109/WISA.2016.38","DOIUrl":"https://doi.org/10.1109/WISA.2016.38","url":null,"abstract":"Community question answering (CQA) is a popular online service for people to ask and answer questions. But along with the increasing of user generating contents, the quality of answers provided by different users varies widely. So the quality of the answer caused wide attention. In this paper, we propose an answer quality prediction model to evaluate the answer quality considering both aspects of textual and non-textual features. We firstly employ Bidirectional long Short-Term Memory (BLSTM) based RNN model to evaluate textual quality of the answers. And we extract 11 features of the answers to evaluate the non-textual quality of answers. Finally, we jointly consider the score of answers textual and non-textual qualities. We evaluate our model in a benchmark dataset and the experimental results show that our model outperforms other existing approaches.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"6 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":"128290117","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
DQAF: Towards DQV-Based Dataset Quality Annotation Using the Web Annotation Data Model DQAF:使用Web标注数据模型实现基于dqv的数据集质量标注
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.15
Jie Wei, Zhuoming Xu, Wenze Xia
{"title":"DQAF: Towards DQV-Based Dataset Quality Annotation Using the Web Annotation Data Model","authors":"Jie Wei, Zhuoming Xu, Wenze Xia","doi":"10.1109/WISA.2016.15","DOIUrl":"https://doi.org/10.1109/WISA.2016.15","url":null,"abstract":"The W3C Data on the Web Best Practices Working Group is standardizing the Data Quality Vocabulary (DQV) for expressing data quality of Web-published datasets. As proposed in the DQV specification, quality annotations on datasets, one kind of quality information described using DQV, are achieved through Web annotations. Meanwhile, the W3C Web Annotation Working Group is creating a standard Web Annotation Data Model on the basis of the Open Annotation (OA) Data Model. Despite the significant progress in standardization, there is a lack of systematic research on Web tools for DQV-based dataset quality annotation. This paper therefore proposes a Dataset Quality Annotation Framework (DQAF) that provides annotating users with an interactive visual user interface, through which DQV-based dataset quality annotation can be readily achieved using the OA data model to produce machine-readable quality annotation data. We have implemented a proof-of-concept prototype of DQAF and conducted case study experiments with the prototype. The results indicate that DQAF is feasible and implementable, and annotating users can obtain a better understanding of and more intuitive interaction with the quality annotation data by means of the user interface.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"61 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":"123655223","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
Research of Clinical Decision Support System Based on Distributed Environment 基于分布式环境的临床决策支持系统研究
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.26
Yiming Yang, Liang Xiao, Jingbai Tian
{"title":"Research of Clinical Decision Support System Based on Distributed Environment","authors":"Yiming Yang, Liang Xiao, Jingbai Tian","doi":"10.1109/WISA.2016.26","DOIUrl":"https://doi.org/10.1109/WISA.2016.26","url":null,"abstract":"The application of clinical decision support system can effectively solve the limitation of the clinician's knowledge, can easily help doctors to collect patient's data, diagnose, treat and prevent of disease. Clinical decision support system has not been widely used in clinical practice, there are two reasons. First, at present, most of the hospital's information systems do not have integrated clinical decision support system. Second, the system used in most hospital is not integrated with the clinical decision support system. In this paper, due to the above problems, we use Multi-Agent technology, through the provincial platform to achieve data sharing to obtain the patient's historical data. Combining the knowledge base to make the best decision for the same patient between community and the province medical institution.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"15 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":"131836263","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
Towards Interactive Gathering of DUV-Based Dataset Usage Information 基于duv的数据集使用信息交互采集研究
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.41
Xiutao Xia, Zhuoming Xu, Zhaoheng Liu
{"title":"Towards Interactive Gathering of DUV-Based Dataset Usage Information","authors":"Xiutao Xia, Zhuoming Xu, Zhaoheng Liu","doi":"10.1109/WISA.2016.41","DOIUrl":"https://doi.org/10.1109/WISA.2016.41","url":null,"abstract":"Although many open data portals have been publishing numerous datasets on the Web, there is currently no clear standard way to describe dataset usage on the Web, which is not conducive to the healthy development of the open data ecosystem. The W3C Data on the Web Best Practices Working Group is therefore standardizing the Dataset Usage Vocabulary (DUV) for modeling, conveying and sharing dataset usage information on the Web, aiming at facilitating better communication between data publishers and consumers and promoting the re-use of Web-published data. Despite the significant progress in the standardization, there is a lack of systematic research on approaches and tools for gathering DUV-based dataset usage information. This paper therefore proposes a generic software Framework for Interactively Gathering DUV-based Dataset Usage Information (FIGDUI) on the Web. FIGDUI can provide both data publishers and consumers (collectively referred to as the user) with a friendly user interface designed according to DUV's Citation Model, Usage Model and Feedback Model, and employ automatic algorithms to convert the user-entered data into dataset usage data in a machine-readable RDF format and to publish the RDF data as Linked Open Data on the Web. Our prototype implementation of FIGDUI and preliminary experimental results show that FIGDUI is feasible and implementable.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"16 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":"134202749","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
Provable Secure Node Authentication Protocol for Wireless Sensor Networks 无线传感器网络的可证明安全节点认证协议
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.51
Zhimeng Liu, Zhao Yanli
{"title":"Provable Secure Node Authentication Protocol for Wireless Sensor Networks","authors":"Zhimeng Liu, Zhao Yanli","doi":"10.1109/WISA.2016.51","DOIUrl":"https://doi.org/10.1109/WISA.2016.51","url":null,"abstract":"To protect information or messages transmitted between any two adjacent sensor nodes from variety of malicious attacks, a CK secure authentication and key exchange protocol for Wireless Sensor Networks is proposed. Security of the protocol, which has security properties including resistance to key compromise impersonation attacks, relies on Computational Diffie-Hellman Problem. Because of low communication overhead, the scheme is better suited for Wireless Sensor Networks to establish the session key between two adjacent nodes.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"15 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":"125579307","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: 4
MOSTER: A Novel Truth Discovery Method for Multiple Conflicting Information MOSTER:一种新的多冲突信息真相发现方法
2016 13th Web Information Systems and Applications Conference (WISA) Pub Date : 2016-09-01 DOI: 10.1109/WISA.2016.28
Kehui Song, Zhifan Yang, Yumei Liu, Fan Zhang, Y. Zhang
{"title":"MOSTER: A Novel Truth Discovery Method for Multiple Conflicting Information","authors":"Kehui Song, Zhifan Yang, Yumei Liu, Fan Zhang, Y. Zhang","doi":"10.1109/WISA.2016.28","DOIUrl":"https://doi.org/10.1109/WISA.2016.28","url":null,"abstract":"With the rapid development of database and web technology, the way data organized and presented is becoming increasingly complicated while data sources are also intermingled with inaccurate information. Therefore, studies in truth discovery becomes overwhelmingly significant for it is critical for netizens to identify sources of high quality as well as to select the most accurate information from vast amount of data available. However, previous works mainly focus on a single property rather than all properties, and ignore the different characteristics of them, thus leading to unexpected deviations. In this paper, we propose a Multi-prOperty-cluSTERing-based method, abbreviated MOSTER, in order to search for the most reliable source and identify the truth. Compared with conventional methods, experiments using our three-step iterative approach can achieve a high accuracy both on weather data and people profile data, indicating a great advancement in truth discovery studies.","PeriodicalId":308797,"journal":{"name":"2016 13th Web Information Systems and Applications Conference (WISA)","volume":"10 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":"127889335","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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