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IRank: A term-based innovation ranking system for conferences and scholars

IRank: A term-based innovation ranking system for conference...

引用

Joint International Conference on Advances in data and Web Management, APWeb/WAIM 2009

作者： Li, Zhixu Du, Xiaoyong Liu, Hongyan He, Jun Zhou, Xiaofang Key Labs of Data Engineering and Knowledge Engineering Ministry of Education China School of Information Renmin University of China Beijing China Department of Management Science and Engineering Tsinghua University Beijing China University of Queensland QLD Australia

ISBN: (纸本)9783642006715

Since the proposition of Journal Impact Factor [1] in 1963, the classical citation-based ranking scheme has been a standard criterion to rank journals and conferences. However, the reference of a paper cannot list all relevant publications and the citation relationships are not always available especially when related to copyright problem. Besides, we cannot evaluate a newly published paper before it is cited by others. Therefore, we propose an alternative method, term-based evaluation scheme which can evaluate publications by terms they use. Then we can rank conferences, journals and scholars accordingly. We think this term-based ranking scheme can be used to evaluate innovation quality for conferences and scholars. To evaluate our scheme and to facilitate its application, we develop an innovation ranking system called IRank to rank conferences and authors in the field of database Systems. The performance of IRank demonstrates the effectiveness of our scheme. © Springer-Verlag Berlin Heidelberg 2009.

关键词： Quality control

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Rapid resynchronization method for replication in-memory databases supporting mobile communication applications

Rapid resynchronization method for replication in-memory dat...

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2009 WRI World Congress on Computer Science and Information engineering, CSIE 2009

作者： Guoqiong, Liao Jing, Li School of Information Technology Jiangxi University of Finance and Economics Nanchang 330013 Thailand Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang 330013 Thailand

ISBN: (纸本)9780769535074

In this paper, a rapid resynchronization method using intent logs is suggested for replication In-memory databases supporting mobile communication applications. Both the identifiers of unsynchronized segments and the identifiers of the slaves who have missed the updates in the segments are recorded in the intent logs. When receiving a resynchronization request from a slave, the master will scan the intent logs to find the unsynchronized segments for the salve, and then send the segments gotten directly from its memory to the slave. The performance results shown the intent logs method can reduce resynchronization time than methods using transaction logs. © 2008 IEEE.

关键词： Mobile telecommunication systems

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Efficient Computation of Reverse Skyline on data Stream

Efficient Computation of Reverse Skyline on Data Stream

引用

The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

作者： Ling Zhu Cuiping Li Hong Chen School of Information Renmin University of China Key Lab of Data Engineering and Knowledge Engineering of MOE

Reverse Skyline Queries have been proved very useful in business location, environmental monitoring and some other applications. In this paper, we consider reverse skyline queries processing on data stream, which provides continuous, high-speed data elements. Specifically, we consider the latest objects in the sliding window. The challenge is that it is difficult to maintain a multidimensional index (for example, R-tree) in a dynamic dataset. Focusing on this challenge, we propose an algorithm with a DC-Tree as index and effective pruning methods to reduce the search space of query processing and the cost of index maintaining. Extensive experiments show that our algorithms are efficient and effective for on-line reverse skyline query.

关键词： Monitoring Query processing Costs data engineering knowledge engineering Multidimensional systems

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Efficient processing of global Top-k aggregate queries in uncertain database

Efficient processing of global Top-k aggregate queries in un...

引用

2009 International Conference on Information engineering and Computer Science, ICIECS 2009

作者： Xing, Xianli Liu, Dexi Principal's Office Jiangxi University of Finance and Economics Nanchang China School of Information Technology Jiangxi University of Finance and Economics Jiangxi Key Laboratory of Data and Knowledge Engineering Nanchang China

ISBN: (纸本)9781424449941

Top-k queries in uncertain databases are quite popular and useful due to its wide application usage. However, compared to Top-k in traditional databases, queries over uncertain database are more complicated because of the existence of exponential possible worlds. A Top-k aggregate query ranks groups of tuples by their aggregate values, sum or average for example, and returns k groups with the highest aggregate values. As a powerful semantic of Top-k, Global Top-k, returns k highest-ranked tuples according to their probabilities of being in the Top-k answers in possible worlds. We propose a dynamic programming based method to process Global Top-k aggregate queries in uncertain database, where the number of retrieved tuples and group states generated on these tuples are minimized. Experiment results show that our algorithm is effective. ©2009 IEEE.

关键词： Dynamic programming

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Assessing the influence probability between objects: A random walker approach

Assessing the influence probability between objects: A rando...

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IEEE Symposium on Computational Intelligence and data Mining (CIDM)

作者： Pei Li Zhixu Li Jun He Xiaoyong Du Hongyan Liu Key Laboratories of Data Engineering and Knowledge Engineering MOE China & School of Information Renmin University of China Beijing China Department of Management Science and Engineering Tsinghua University Beijing China

Influence between objects needs to be assessed in many applications. Lots of measures have been proposed, but a domain-independent method is still expected. In this paper, we give a probabilistic definition of influence based on the random walker model on graphs. Two approaches, linear systems method and Basic InfRank algorithm, are shown and return equal results, but Basic InfRank is more efficient by iterative computation. Two variants on bipartite graphs and star graphs are discussed. Experiments show InfRank algorithms have good accuracy, fast convergent rate and high performance.

关键词： data engineering knowledge engineering Iterative algorithms Attenuation measurement Helium knowledge management engineering management Linear systems Iterative methods Bipartite graph

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The Electronic Records Management in E-government Strategy: Case Studies and the Implications

The Electronic Records Management in E-government Strategy: ...

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International Conference on Networking and Digital Society, ICNDS

作者： Xiaomi An Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Renmin University of China Beijing China

Electronic records management (ERM) is fundamental to good governance, business efficiency and effectiveness of e-government in networking and digital society. However, government authorities in China has faced many challenges in managing electronic records. A study of ERM in e-government strategy in other countries would be significant to support development of ERM in Chinese e-government strategy. As little is known from literature on the status of electronic records management in e-government strategy, this paper selects U.S, New Zealand and UK for case study by means of collecting and analyzing publications, laws, regulations and policies relevant to both electronic records management and e-government strategy. The author first analyzes status of ERM in e-government strategy and then discusses models and driving forces of their existences. The result of the study revealed that electronic records are managed as national assets, resources and trusted information in the e-government strategy. Driven by core business of e-government in different country, there are different approaches to ERM in e-government strategy. The implications of the study is that, to position ERM in e-government strategy, it is significant to provide a strategic approach to ERM for shared agenda by both government authorities and records management professionals. The findings intended to be of use to both the effective e-government strategy and good ERM for dynamic, interactive and proactive citizen-centered services across domains and time dimensions.

关键词： Electronic government Conference management knowledge management engineering management Law data engineering knowledge engineering Asset management Resource management Sustainable development

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Advances in Web and Network Technologies and Information Management 2009

引用

丛书名： Lecture Notes in Computer Science

2009年

作者： Lei Chen Chengfei Liu Xiao Zhang Shan Wang Darijus Strasunskas Stein L. Tomassen Jinghai Rao Wen-Syan Li K. Selçuk Candan Dickson K. W. Chiu Yi Zhuang

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Extracting Structured data from Ajax Site

Extracting Structured Data from Ajax Site

引用

International Workshop on database Technology and Applications

作者： Tian Xia Key Laboratory of Data Engineering and Knowledge Engineering School of Information Resource Management Renmin University of China Beijing China

Ajax is an important approach for improving rich interactivity between Web server and end users during Web 2.0 eras. At the same time, the structured data in AJAX Web pages can not be extracted easily due to its asynchronous loading. In this paper, we propose a technique for extracting the structured data from the AJAX based Web pages. Firstly, an AjaxFetcher component is created to fetch the dynamic page content by using an embedded browser. Secondly, two different strategies are used to extract the structured data from the obtained page contents. Especially for the page that contains multi-records, an automatic approach to determine each possible record is proposed. Experimental results show that fetching Ajax pages and extracting the structured data from them is feasible.

关键词： data mining Web pages databases Uniform resource locators laboratories data engineering knowledge engineering Information resources Information management knowledge management

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Operating systems support for process dynamic integrity measurement

Operating systems support for process dynamic integrity meas...

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IEEE Youth Conference on Information, Computing and Telecommunication, YC-ICT

作者： Chenglong Wei Shaohua Song Wen Hua Pan Bian School of Information Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Renmin University of China Beijing China

Facing limitations of existing systems for process integrity measurement, we put forward a method with its prototype system PDIMS to measure process runtime integrity. Based on structure of process and format of executable file, PDIMS anatomizes the codepage layout of runtime process. Combining OS mechanisms and modern CPU's support for code execution, PDIMS catches and measures code page in the kernel when it executes. PDIMS depends on CPU's non-executable bit to detect code execution and on the binary format of executables of the process as criterion to verify code modifications in kernel. PDIMS provides trustworthy information about whether a running process is modified. PDIMS introduces less than 4% overhead to OS.

关键词： Operating systems Kernel Modems Computer security Runtime Protection databases knowledge engineering Prototypes Computer architecture

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Selectivity Estimation of Correlated Properties in RDF data for SPARQL Query Optimization

Selectivity Estimation of Correlated Properties in RDF Data ...

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Fifth International Conference on Semantics,knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)

作者： Bin Lv Xiaoyong Du Yan Wang Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education School of Information Renmin University of China Beijing 100872 China

Nowadays mainstream RDF Repository Systems are based on RDBMS. The SPARQL query engine translates a SPARQL query into a SQL one, and then the RDBMS executes the SQL query. However the RDBMS optimizers, which usually assume that columns are statistically independent, often underestimate the selectivity of conjunctive predicates and choose a bad query execution plan. It is important for query optimizers to detect correlations among properties. We propose a way of computing property correlations based on ontology itself in order to improve the execution performance of the SQL translated from SPARQL statement queries.

关键词： Ontology SPARQL SQL Property Correlation Query optimization

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