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检索条件"机构=Key Lab. of System Software and State Key Lab. of Computer Science"

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User demand description and optimization in web data management

User demand description and optimization in web data managem...

引用

8th Web Information systems and Applications Conference, WISA 2011, Workshop on Semantic Web and Ontology, SWON 2011, Workshop on Electronic Government Technology and Application, EGTA 2011

作者： Wang, Hui Ou, Weijie Peng, Zhiyong Zhai, Weixiang Chen, Ran State Key Lab. of Software Engineering Wuhan University of China Wuhan China Computer School Wuhan University of China Wuhan China

ISBN: (纸本)9780769545554

Based on object deputy database, newly proposed web data management system (WDMS) provides user with personal data spaces to flexibly manage their various web data. Limited to database capacity, WDMS should gather data that user need from Web according to user demand implied in their personal data spaces. However, user demand that expressed in SQL sentences in data spaces can't be comprehended and executed by meta-search engine. Confronted with the problem, this paper proposed a user demand description method which is helpful to formalize user demand expression and bridge the gap between user demand and web data sources. Based on user demand description, this paper also proposed user demand set optimization method to eliminate the subset and intersection relationship among user demand set. The experimental results demonstrate that user demand description and its optimization method can well express complex user demand and reduce redundant query cost. This work can be widely used in various kinds of personal Web data service system. © 2011 IEEE.

关键词： Search engines

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ShadowStory: Creative and collab.rative digital storytelling inspired by cultural heritage 11

ShadowStory: Creative and collaborative digital storytelling...

引用

Proceedings of the SIGCHI Conference on Human Factors in Computing systems

作者： Lu, Fei Tian, Feng Jiang, Yingying Cao, Xiang Luo, Wencan Li, Guang Zhang, Xiaolong Dai, Guozhong Wang, Hongan Intelligence Engineering Lab. Institute of Software Chinese Academy of Sciences Beijing China Microsoft Research Cambridge Cambridge United Kingdom Pennsylvania State University PA United States State Key Lab. of Computer Science Institute of Software Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781450302289

With the fast economic growth and urbanization of many developing countries come concerns that their children now have fewer opportunities to express creativity and develop collab.ration skills, or to experience their local cultural heritage. We propose to address these concerns by creating technologies inspired by traditional arts, and allowing children to create and collab.rate through playing with them. ShadowStory is our first attempt in this direction, a digital storytelling system inspired by traditional Chinese shadow puppetry. We present the design and implementation of ShadowStory and a 7-day field trial in a primary school. Findings illustrated that ShadowStory promoted creativity, collab.ration, and intimacy with traditional culture among children, as well as interleaved children's digital and physical playing experience. Copyright 2011 ACM.

关键词： Developing countries

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ListOPT: Learning to optimize for XML ranking

ListOPT: Learning to optimize for XML ranking

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作者： Gao, Ning Deng, Zhi-Hong Yu, Hang Jiang, Jia-Jian School of Electronic Engineering and Computer Science Peking University China State Key Lab. of Computer Science Institute of Software Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9783642208461

Many machine learning classification technologies such as boosting, support vector machine or neural networks have been applied to the ranking problem in information retrieval. However, since the purpose of these learning-to-rank methods is to directly acquire the sorted results based on the features of documents, they are unable to combine and utilize the existing ranking methods proven to be effective such as BM25 and PageRank. To solve this defect, we conducted a study on learning-to-optimize, which is to construct a learning model or method for optimizing the free parameters in ranking functions. This paper proposes a listwise learning-to-optimize process ListOPT and introduces three alternative differentiable query-level loss functions. The experimental results on the XML dataset of Wikipedia English show that these approaches can be successfully applied to tuning the parameters used in an existing highly cited ranking function BM25. Furthermore, we found that the formulas with optimized parameters indeed improve the effectiveness compared with the original ones. © 2011 Springer-Verlag.

关键词： Information retrieval

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Leveraging fragmental semantic data to enhance services discovery

Leveraging fragmental semantic data to enhance services disc...

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13th IEEE International Workshop on FTDCS 2011, the 8th International Conference on ATC 2011, the 8th International Conference on UIC 2011 and the 13th IEEE International Conference on HPCC 2011

作者： Wang, Jian Zhang, Jia Hung, Patrick C.K. Li, Zheng Liu, Jianxiao He, Keqing State Key Lab. of Software Engineering Computer School Wuhan University China Department of Computer Science Northern Illinois University United States University of Ontario Institute of Technology Canada

ISBN: (纸本)9780769545387

As one foundational technology of cloud computing, services computing is playing a critical role to enable provisioning of software as a service (SaaS). However, how to effectively and efficiently discover proper availab.e services from the cloud of resources remains a big challenge. This paper reports our continuous efforts on semantic services discovery. We extend the Support Vector Machine (SVM)-based text clustering technique in the context of serviceoriented categorization in a service repository, and propose an iterative process to incrementally enrich domain ontology. A popular Web 2.0 mashup platform is used as a testbed;and preliminary evaluation results are reported. © 2011 IEEE.

关键词： software as a service (SaaS)

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The application of fuzzy system group in intelligent diagnosis for power tranformer

The application of fuzzy system group in intelligent diagnos...

引用

2011 2nd International Conference on Digital Manufacturing and Automation, ICDMA 2011

作者： Ma, Deyin Liang, Yanchun Zhao, Xiaoshe Li, Zhexue Shi, Xiaohu College of Computer Science and Technology Jilin University Changchun 130012 China State Key Lab. for Novel Software Technology Nanjing University Jiangsu Nanjing 210093 China

ISBN: (纸本)9780769544557

For a long time, the fault diagnosis and assessment for power transformer is a quite complex and difficult problem. In this paper, we propose a transformer fault diagnosis method based on fuzzy theory. The dissolved gas concentrations are set as the inputs of the system, and a fuzzy system group is appLied to build the intelLigent diagnosis system. The parameters of the system, including the input dimension, output dimension, and the membership functions, can be set up in whole or separately in the system. To test the effectiveness of the proposed method, it is appLied to the practice dataset. The experiment results show that the fuzzy system group improves the accuracy of assessment greatly compared with fuzzy system and BP neural networks. Also, the knowledge system of power transformer fault diagnosis can be built up completely by the proposed method. © 2011 IEEE.

关键词： Fuzzy systems

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Analysis of financial news impact on stock based on a statistical learning method with news density

Analysis of financial news impact on stock based on a statis...

引用

4th International Conference on Business Intelligence and Financial Engineering, BIFE 2011

作者： Wang, Feng Li, Xiaodong Dou, Chenxiao State Key Lab. of Software Engineering Wuhan University Wuhan China Department of Computer Science City University of Hong Kong Kowloon Hong Kong School of Computer Science Wuhan University Wuhan China

ISBN: (纸本)9780769545271

Since the investors often react to news and consequently make stock prices move, financial news has an impact on stock prices. However, the price adjustment process is a complex one. In this paper, a statistical learning methodology has been proposed to analyze the time lag between the price moves and the released news. We firstly set up a news-price mapping model to study the relationships among the price moves and the volume of the news articles. Cross validation has also been used to test the time lag. Experiments have been conducted by using the daily data sources in 2002 in the Hong Kong stock exchange market, and the results have showed that in most cases, the time lag is approximately equal to 1 day. © 2011 IEEE.

关键词： Costs

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Get twice the result with half the effort: A practical approach to reducing the complexity of processing magnanimous information

Get twice the result with half the effort: A practical appro...

引用

7th International Conference on Semantics, Knowledge, and Grids, SKG 2011

作者： Ge, Feng Lv, Xiaoming Hu, Sha Liu, Jin State Key Laboratory of Software Engineering Computer School Wuhan University 430072 China Logistics Group Wuhan University 430072 China State Key Lab. for Novel Software Technology Nanjing University Nanjing 210093 China

This paper proposes a novel idea of reducing the complexity of processing magnanimous information in content services by making use of user behaviour information. A practical approach and an empirical case are elab.ra... 详细信息

ISBN: (纸本)9780769545158

关键词： Behavioral research

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Dynamic threshold-based energy efficient scheduling algorithm for parallel tasks on homogeneous DVS-enabled clusters

Dynamic threshold-based energy efficient scheduling algorith...

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3rd International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2011

作者： Liu, Wei Yin, Hang Du, Wei College of Computer Science and Technology Wuhan University of Technology Wuhan 430063 China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China State Key Lab. of Software Engineering Wuhan University Wuhan 430072 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China

ISBN: (纸本)9780769545578

For parallel applications running on high-performance clusters, performance is usually satisfied without paying much attention to energy consumption. In this paper, we develop a new scheduling algorithm called Energy efficient Scheduling Algorithm based on DVS and Dynamic threshold (ESADD), which combines dynamic threshold-based task duplication strategy with dynamic voltage scaling (DVS) technique. It first exploits an optimal threshold to get the optimal task grouping and leverage task duplication algorithm to reduce schedule length and communication energy, and then schedules the applications on DVS-enabled processors that can scale down their voltages to reduce computation energy whenever tasks have slack time due to task dependencies. Using simulations we show our algorithm not only maintains good performance, but also has a good improvement on energy efficiency for parallel applications. © 2011 IEEE.

关键词： Energy efficiency

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Performances and characteristics of DIGRank, ranking in the incomplete networks

Performances and characteristics of DIGRank, ranking in the ...

引用

11th IEEE International Conference on Data Mining, ICDM 2011

作者： Niu, Xiang Li, Lusong Tkach, Daniel Xiong, Xiaobing Li, He Xu, Ke State Key Lab. of Software Development Environment Beihang University Beijing China University of Science and Technology Beijing Beijing China National Digital Switching System Engineering and Technological Research Center Beijing China

ISBN: (纸本)9780769544083

PageRank has been widely used in ranking retrieval results on the web, finding the top influential papers in citation networks or detecting valuable users in online social networks. However, in practice, it is usually hard to obtain a complete structure of any above networks to rank nodes. Thus, some researchers have begun to explore how to get estimated ranks efficiently without acquiring the whole network. They have proposed some approximating methods, however, it is difficult to determine which method is the best one or which is suitable to a certain application. In this case, we set experiments in small-world and scale-free generated networks to certify the feasibility and characteristics of four approximating methods. We also use eleven real networks to mention different optimal conditions for these methods. We find the DIGRank method performs better than other local estimation methods in almost every given subgraph. Besides, Mean field approach method tends to perform well in networks that have low average shortest path length, small amount of nodes with the same low indegree, or weak community structure. Finally, we apply the most versatile method DIGRank to Sina micro-blog website to precisely classify users in a group as elites, grassroots or mummy users. © 2011 IEEE.

关键词： Social networking (online)

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Image retargeting quality assessment

Image retargeting quality assessment

引用

32nd Annual Conference on European Association for computer Graphics, EUROGRAPHICS 2011

作者： Liu, Yong-Jin Luo, Xi Xuan, Yu-Ming Chen, Wen-Feng Fu, Xiao-Lan TNList Department of Computer Science and Technology Tsinghua University China State Key Lab. of Brain and Cognitive Science Institute of Psychology Chinese Academy of Sciences China

Content-aware image retargeting is a technique that can flexibly display images with different aspect ratios and simultaneously preserve salient regions in images. Recently many image retargeting techniques have been proposed. To compare image quality by different retargeting methods fast and reliably, an objective metric simulating the human vision system (HVS) is presented in this paper. Different from traditional objective assessment methods that work in bottom-up manner (i.e., assembling pixel-level features in a local-to-global way), in this paper we propose to use a reverse order (top-down manner) that organizes image features from global to local viewpoints, leading to a new objective assessment metric for retargeted images. A scale-space matching method is designed to facilitate extraction of global geometric structures from retargeted images. By traversing the scale space from coarse to fine levels, local pixel correspondence is also established. The objective assessment metric is then based on both global geometric structures and local pixel correspondence. To evaluate color images, CIE lab.color space is utilized. Experimental results are obtained to measure the performance of objective assessments with the proposed metric. The results show good consistency between the proposed objective metric and subjective assessment by human observers. © 2011 The Author(s).

关键词： Pixels

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