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

23-25 Sept. 2016

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  • [Front cover]

    Publication Year: 2016, Page(s): c1
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  • [Title page i]

    Publication Year: 2016, Page(s): i
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  • [Title page iii]

    Publication Year: 2016, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2016, Page(s): iv
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  • Table of contents

    Publication Year: 2016, Page(s):v - viii
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  • Message from the Chairs

    Publication Year: 2016, Page(s): ix
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  • Message from the Program Committee Chairs

    Publication Year: 2016, Page(s): x
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  • Organizing Committee

    Publication Year: 2016, Page(s):xi - xii
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  • Program Committee

    Publication Year: 2016, Page(s):xiii - xiv
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  • Reviewers

    Publication Year: 2016, Page(s): xv
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  • File Sharing Strategy Based on WebRTC

    Publication Year: 2016, Page(s):3 - 6
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (355 KB) | HTML iconHTML

    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 go... View full abstract»

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  • Location-Based Two-Phase Clustering for Web Service QoS Prediction

    Publication Year: 2016, Page(s):7 - 11
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (439 KB) | HTML iconHTML

    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 ... View full abstract»

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  • Augmented Reality in IT Operation Management of Power System

    Publication Year: 2016, Page(s):12 - 17
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (446 KB) | HTML iconHTML

    Augmented reality (AR) is an environment-enhancing technology, which has recently widely applied in various fields. The present study aims to provide an alternative approach to use augmented reality to assist the Information Technology (IT) operation and maintenance management in the power system. This paper presents the characteristics of IT operation management in power grid and the visual requi... View full abstract»

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  • DQFIRD: Towards Data Quality-Based Filtering and Ranking of Datasets for Data Portals

    Publication Year: 2016, Page(s):18 - 23
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (751 KB) | HTML iconHTML

    The Data on the Web Best Practices Working Group, as part of W3C Data Activity, is standardizing the Data Quality Vocabulary (DQV) for expressing data quality of datasets published on the Web. By exploiting such DQV-based quality metadata associated to the datasets in a data portal, data consumers can achieve data quality-based filtering and ranking of datasets on the portal's conventional search ... View full abstract»

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  • DQAF: Towards DQV-Based Dataset Quality Annotation Using the Web Annotation Data Model

    Publication Year: 2016, Page(s):24 - 27
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (497 KB) | HTML iconHTML

    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 Anno... View full abstract»

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  • Efficient Subgraph Matching in Large Graph with Partitioning Scheme

    Publication Year: 2016, Page(s):28 - 33
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (348 KB) | HTML iconHTML

    Recently, subgraph matching has been implemented in more and more domains, such as social network and semantic web. An approximated solution for subgraph matching named strong simulation has been put forward. Strong Simulation can preserve the topology of data graphs and find a bounded number of matches, but the complexity further holds a cubic-time, so it's yet intractable to deal with large grap... View full abstract»

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  • Some Nonlocal Variational Models Along with Their Fast Algorithms

    Publication Year: 2016, Page(s):34 - 38
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (566 KB) | HTML iconHTML

    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 ... View full abstract»

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  • A New Method of K-Means Clustering Algorithm with Events Based on Variable Time Granularity

    Publication Year: 2016, Page(s):41 - 44
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (355 KB) | HTML iconHTML

    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 th... View full abstract»

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  • An Efficient Algorithm for XML Keyword Search Based on Interval Encoding

    Publication Year: 2016, Page(s):45 - 50
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (494 KB) | HTML iconHTML

    Recently, keyword search on XML data has received much attention. Existing XML keyword search algorithms are all based on Dewey labeling, and this method in the calculation of the common ancestor would suffer from the CAR (common-ancestor-repetition) problem. In this paper, we propose a novel index based on interval encoding, namely IS-Index. We then design an efficient algorithm based on this str... View full abstract»

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  • A Multilayer Collaborative Filtering Recommendation Method in Electricity Market

    Publication Year: 2016, Page(s):51 - 55
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (308 KB) | HTML iconHTML

    Transaction price accurate recommendation is a hot issue for buyer and seller on bidding information services in Chinese electricity market, a novel multilayer collaborative filtering algorithm is proposed to solve the bidding prices accurate mining problem. A three-tier relationship model of user-item-attribute is described to accommodate the real electricity transaction on bidding price service ... View full abstract»

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  • Recommendation Based on Bipartite Network of Two-Step Model

    Publication Year: 2016, Page(s):56 - 60
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (960 KB) | HTML iconHTML

    Traditional recommendation only uses the single model of selection or rating to mining the users' interests. Network-Based Inference (NBI) is typical of selection single model. In order to make full use of information, in this paper, Recommendation based on bipartite network of two-step model(RBNTM) is put forward. The method on the basis of Network-based inference, considering scores also reflect... View full abstract»

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  • Sentiment Analysis of Chinese Micro-Blog Based on Classification and Rich Features

    Publication Year: 2016, Page(s):61 - 66
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (344 KB) | HTML iconHTML

    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 a... View full abstract»

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  • Differential Evolution-Based Fusion and Its Properties for Web Search

    Publication Year: 2016, Page(s):67 - 70
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (291 KB) | HTML iconHTML

    In recent years, data fusion has been applied to many different application areas such as neural networks, classification, multi-sensor systems, image processing, information retrieval, Web search among others. Linear combination is a popular data fusion method due to its flexibility. Proper weight assignment is a key issue for its success. In this paper, we apply the differential evolution optimi... View full abstract»

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  • Combining Influence and Sensitivity to Factorize Matrix for Multi-Context Recommendation

    Publication Year: 2016, Page(s):71 - 76
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (362 KB) | HTML iconHTML

    With the growing amount of information available online, context-aware recommender systems have emerged to improve the precision of recommendation. Matrix factorization models are the state-of-the-art in these systems, especially for multi-context recommendation. However, existing models ignored either context influence or entity sensitivity. That is, they assume that one entity (user or item) sha... View full abstract»

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  • Research on Multi-Objective Dynamic Cloud Service Strategy

    Publication Year: 2016, Page(s):79 - 82
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (276 KB) | HTML iconHTML

    Most of the existing cloud service strategies are scheduling algorithm based on user's satisfaction or QoS. The former does not consider physical resource utilization, while the latter ignores the satisfaction of the user's experience. This paper proposes a multi-objective cloud service model, which is based on the user's dynamic demand and resource utilization. In addition, it designs a multi-obj... View full abstract»

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