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Towards Video Management over Relational database

Towards Video Management over Relational Database

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International Asia-Pacific Web Conference (APWEB)

作者： Hui Li Xiao Zhang Shan Wang Xiaoyong Du School of Information Key Laboratory of Data Engineering and Knowledge Engineering Shanghai Key Laboratory of Intelligent Information Processing MOE Renmin University of China China

Video has become popular in our daily life for both professional and consumer applications. Both low level video processing and high level semantic video analysis are critically computational tasks in application domains. Most of current video computing tools are developed for specific analytic tasks, they are lack higher level interoperability with database and treat database merely as a relational data storage engine rather than an analytic platform, which causes inefficient data access and massive amount of data movement. In this paper, we study how to support video data management over relational database, and present our initial solutions of video data storage mechanism, video data access method and efficient video analytics. We also illustrate our ongoing prototype system HybVideo that developed in a novel architecture. It integrates above solutions to tackle the major challenges of providing a platform for both storage and analysis of video data.

关键词： Relational databases Memory Videoconference Laboratories Engines data analysis Performance analysis Video surveillance Conference management knowledge management

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Trust Service Discovery by Opinions Classification on Virtual Communities

Trust Service Discovery by Opinions Classification on Virtua...

引用

International Conference on Networks Security, Wireless Communications and Trusted Computing, NSWCTC

作者： Qing Zhu Department of Computer Science Information School Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China Beijing China

ISBN: (纸本)9781424465972;9780769540115

Internet has become an excellent ecommerce platform for bringing together large numbers of buyers and sellers across wide geographic regions. Trust and reputation systems represent a. significant trend in decision support for Internet mediated service provision. However, most existing work assumes that all users have the same trust metrics, but in real life different users often have different preference of product attributes. This paper proposes trusted query navigation model by analyzing online customer reviews of trustworthiness of websites. The first step analyzes counting history feedback in the system offline and generates dynamic trust model by opinion classification. The second step presents trust evaluation ranking to help the user can easily discovery trust service of matching his needs. The experimental evaluation shows that the trusted query evaluation ranking has high trading efficiency, quick learning ability and satisfactory performance.

关键词： Business Feedback Portals History Web services Computer security data security Information security Wireless communication Computer networks

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Law Text Clustering Based on Referential Relations

Law Text Clustering Based on Referential Relations

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ChinaGrid Annual Conference (ChinaGrid)

作者： Biao Fan Tao Liu He Hu Xiaoyong Du Ministry of Education Key Laboratory of Data Engineering and Knowledge Engineering China School of Information Renmin University of China Beijing China

This paper proposes a new method to cluster law texts based on referential relation of laws. We extract law entities (an entity represents a law) and their referential relation from law texts. Then SimRank algorithm is applied to calculate law entity's similarity through referential relation and law clustering is carried out based on the SimRank similarity. This is the first time to apply SimRank algorithm in the domain of Law and use it to carry out text clustering. Prototype and experiments show that our solution is feasible. We also publish the extracted data as Linked Law data with RDF data model, which forms the first open semantic web database in Law domain. Linked Law data enables user to access law data with rich data links and query web data by application interface of Semantic Web.

关键词： Clustering algorithms Heuristic algorithms databases Algorithm design and analysis Resource description framework data mining Semantics

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ParaCube: A Scalable OLAP Model Based on Distributed Aggregate Computing with Sibling Cubes

ParaCube: A Scalable OLAP Model Based on Distributed Aggrega...

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International Asia-Pacific Web Conference (APWEB)

作者： Yansong Zhang Shan Wang Wei Huang Key Laboratory of Ministry of Education of Data Engineering and Knowledge Engineering Beijing China School of Information Renmin University of China Beijing China

The requirements of OLAP applications increase rapidly by dramatically increased data volume, users, query volume and query complexity. The requirement for shortening update period in data warehouse is another crucial factor for a scalable OLAP application. In this paper, we propose a scalable OLAP prototype to support the query processing with increasing data volume by distributing the whole fact tuples to multiple servers to construct a set of sibling cubes which can be merged together to obtain the whole cube. We employ a light weight distribution policy with fully duplicated dimension tables in each sibling server on the observation of very low proportion of space cost for dimension tables. OLAP query with distributed aggregate functions can be transformed into queries to be performed parallel in sibling servers. For non-distributed computing aggregate functions, such as median, the optimized median aggregate computing algorithm is proposed to reduce transmission volume between servers while computing the global median values. We also present a three-level framework in data warehouse to meet the requirement of shorter update period in "operational business intelligence". An asynchronous tunnel model is proposed to reduce update latency by pre-fetching updated tuples to OLAP processing server. Finally, we set up prototype system ParaCube to evaluate performance in SN (shared-nothing) system and multi-core platforms.

关键词： Aggregates Distributed computing Concurrent computing data warehouses Merging Application software Prototypes Query processing Acceleration Material storage

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Query-Aware Complex Object Buffer Management in XML Information Retrieval

Query-Aware Complex Object Buffer Management in XML Informat...

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International Asia-Pacific Web Conference (APWEB)

作者： Qiushi Li Qiuyue Wang Shan Wang Key Laboratory of Ministry of Education of Data Engineering and Knowledge Engineering Beijing China School of Information Renmin University of China Beijing China

In this paper, we analyse the data access characteristics of a typical XML information retrieval system and propose a new query aware buffer replacement algorithm based on prediction of Minimum Reuse Distance (MRD for short). The algorithm predicts an object's next reference distance according to the retrieval system's running status and replaces the objects that have maximum reuse distances. The factors considered in the replacement algorithm include the access frequency, creation cost, and size of objects, as well as the queries being executed. By taking into account the queries currently running or queuing in the system, MRD algorithm can predict more accurately the reuse distances of index data objects.

关键词： Information management XML Information retrieval Tree data structures Indexing Prediction algorithms Algorithm design and analysis Frequency data analysis Information analysis

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VANETs-Based Real-time Traffic data Dissemination

VANETs-Based Real-time Traffic Data Dissemination

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2010 IEEE International Conference Conferenhce on Wireless Communications,Networking and Information Security(2010 IEEE 无线通信、网络技术与信息安全国际会议 WCNIS)

作者： Wenping Chen Department of Computer Science??Renmin University of China Beijing Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China) MOE

ISBN: (纸本)9781424458509

Traffic congestion is a very serious problem in large cities. With the number of vehicles increasing rapidly, especially in cities whose economy is booming, the situation is getting even worse. In this paper, by leveraging the techniques of Vehicular Ad hoc Networks (VANETs) we present a real-time abnormal traffic data dissemination protocol. Specifically, all vehicles running on the same road segment are regarded as a cluster to generate traffic message about this segment. To reduce communication cost, only abnormal traffic data is issued and spread to nearby road segments. By employing event-driven and period combined mechanism, the abnormal traffic messages are disseminated to the vehicles that probably need the messages in time. We propose a distance dependent forwarder selection method to disseminate traffic message. When transmitted inside a cluster, messages are forwarded along the segment from one end to the other based on the least hops principle;while transmitted among clusters, messages are transmitted in epidemic routing mode, which ensure the fast and reliable dissemination. To evaluate the performance of our protocol, we use the real traffic data of Beijing at peak hour. The simulation results demonstrate that our protocol is feasible and efficient for metropolitan-size city.

关键词： vehicular networks traffic real-time

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Constructing Corpus for Query-oriented XML Text Summarization

Constructing Corpus for Query-oriented XML Text Summarizatio...

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2010 International Conference on Management of e-Commerce and e-Government(第四届电子商务与电子政务管理国际会议 ICMeCG 2010)

作者： Shihan WU Dexi LIU Xianpei JIAO Jiangxi Key Laboratory of Data and Knowledge Engineering School of Information Technology Jiangxi University of Finance & Economics Nanchang Jiangxi China

XML Retrieval is becoming the focus study of the field of Information Retrieval and database. Summarization of the results which come from the XML search engines will alleviate the read burden of user's. However, as the basis of this study, the construction of the query-oriented XML text summarization corpus has not yet received enough attention. In this paper, we introduce our works on constructing this kind of corpus, including the selection of topics and XML elements/documents, construction process and the feature of the constructed corpus. Up to now, the corpus has 25 English query topics, including 422 elements for summarization, and 32 Chinese topics which including 402 elements. For each topic, 4 pieces of extracted summaries and 4 pieces of generated summaries are made manually by 4 experts.

关键词： Query-oriented XML Automatic summarization Corpus

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Notice of Retraction: Studies of knowledge management methods from literature

Notice of Retraction: Studies of knowledge management method...

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IEEE International Conference on Advanced Management Science (ICAMS)

作者： Jing Zhang Liuqi Ye Business School Hohai University HHU Nanjing Jiangsu China Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China Beijing China

This article has been retracted by the publisher.

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Notice of Retraction: knowledge management technologies and applications: A literature review

Notice of Retraction: Knowledge management technologies and ...

引用

IEEE International Conference on Advanced Management Science (ICAMS)

作者： Xiaomi An Wang Wang Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China Beijing China School of Information Resource Management Renmin University of China Beijing China

This article has been retracted by the publisher.

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Detecting Spam Comments with Malicious Users’ Behavioral Characteristics

Detecting Spam Comments with Malicious Users’ Behavioral Ch...

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2010 IEEE International Conference on Information Theory and Information Security(2010 IEEE 国际信息论与信息安全会议)

作者： Wenchang Shi Bin Liang Zhaohui Liang Qianqian Wang Wei Sun Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China) MOE Schoo Beijing Venustech Cybervision Co. Ltd Beijing 100094 China

In recent years, the spread of spam comments has become a main obstacle which limits the development of commercialized social networks. This paper analyzes the differences of behavioral characteristics between normal users and malicious users. Based on these characteristics, we propose several heuristic methods to detect spam comments. These methods evaluate comments from three perspectives, including time-frequency characteristic of comments, text similarity of comments and the number of target domains each user's comments refer to. In our collected dataset, our experimental results indicate the accuracy of our detection strategy I (strategy for high accuracy) and strategy II (strategy for wide coverage) are 100% and 92.6%, respectively. The preliminary evaluation of the proposed detection methods shows promising result.

关键词： Books Conferences Unsolicited electronic mail Accuracy Commercialization Time series analysis Filtering

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