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Local Methods for Estimating SimRank Score

Local Methods for Estimating SimRank Score

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International Asia-Pacific Web Conference (APWEB)

作者： Xu Jia Hongyan Liu Li Zou Jun He Xiaoyong Du Yuanzhe Cai Ministry of Education Key Laboratories of Data Engineering and Knowledge Engineering China Department of Computer Science Renmin University of China China Department of Management Science and Engineering Tsinghua University China Department of Computer Science University of Texas Arlington TX USA

SimRank is a well known algorithm which conducts link analysis to measure similarity between each pair of nodes (nodepair). But it suffers from high computational cost, limiting its usage in large-scale datasets. Moreover, Links between nodes are changing over time. It may be desirable to quickly approximate the similarity score between certain nodepair without performing a large-scale computation on the entire graph. In our approach we propose a method to efficiently estimate the similarity score using only a small subgraph of the entire graph. We call this novel algorithm “Local-SimRank”. The experimental results conducted on real datasets and synthetic dataset show that our algorithm efficiently produces good approximations to the global SimRank scores. Meanwhile, we prove that the Local-SimRank score LS(a, b) is always less than original SimRank score S(a, b) mathematically.

关键词： computer science Application software Web pages data engineering knowledge engineering Algorithm design and analysis Large-scale systems computer science education Conference management knowledge management

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Efficient Algorithm for Computing Link-based Similarity in Real World Networks

Efficient Algorithm for Computing Link-based Similarity in R...

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9th IEEE International Conference on data Mining

作者： Cai, Yuanzhe Cong, Gao Jia, Xu Liu, Hongyan He, Jun Lu, Jiaheng Du, Xiaoyong Key Labs of Data Engineering and Knowledge Engineering Ministry of Education China Department of Computer Science Renmin University of China China Department of Computer Science Aalborg University Denmark Department of Management Science and Engineering Tsinghua University China

ISBN: (纸本)9781424452422

Similarity calculation has many applications, such as information retrieval, and collaborative filtering, among many others. It has been shown that link-based similarity measure, such as SimRank, is very effective in characterizing the object similarities in networks, such as the Web, by exploiting the object-to-object relationship. Unfortunately, it is prohibitively expensive to compute the link-based similarity in a relatively large graph. In this paper, based on the observation that link-based similarity scores of real world graphs follow the power-law distribution, we propose a new approximate algorithm, namely Power-SimRank, with guaranteed error bound to efficiently compute link-based similarity measure. We also prove the convergence of the proposed algorithm. Extensive experiments conducted on real world datasets and synthetic datasets show that the proposed algorithm outperforms SimRank by four-five times in terms of efficiency while the error generated by the approximation is small.

关键词： Similarity Calculation SimRank Graph Mining

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From subjects to concept clouds-Why semantic mapping is necessary

From subjects to concept clouds-Why semantic mapping is nece...

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1st International Workshop on knowledge Federation 2008

作者： Thomas, Hendrik Markscheffel, Bernd Redmann, Tobias Department of Information-and Knowledge Management TechnischeUniversität Ilmenau P.O. Box 100565 98693 Ilmenau Germany Knowledge / Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland

To realize the vision of the semantic web it is essential to be able to exchange formal modeled knowledge between applications and humans without loss of meaning. In this paper, we focus on questions relating to meaning, interpretation and subject identity in modern semantic web languages. Based on the semiotic triangle we show that topics as well as RDF resources are symbols, representing concepts and not referents as the common term "subject" would indicate. A subject can not be represented as a single entity, but rather as a complex and evolving system of different concepts. Based on this insight we explain how the resulting plurality and uncertainness of the interpretation of symbols can be handled using semantic mappings. By defining transformation rules, the exchange and integration of knowledge from different semantic models becomes possible. Concluding we define recommendations and design guidelines for a semantic mapping management system, which is needed to support users and applications in creating, reusing, managing and applying such semantic mappings.

关键词： Mapping

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Open framework middleware for intelligent WSN topology adaption in smart buildings

Open framework middleware for intelligent WSN topology adapt...

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2009 International Conference on Ultra Modern Telecommunications and Workshops

作者： Brennan, Rob Tai, Wei O'Sullivan, Declan Aslam, Muhammad S. Rea, Susan Pesch, Dirk Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland Centre for Adaptive Wireless Systems Department of Electronic Engineering Cork Institute of Technology Ireland

ISBN: (纸本)9781424439416

Modern smart buildings utilize sensor networks for facilities management applications such as energy monitoring. However as buildings become progressively more embedded with sensor networks, the challenge of managing and maintaining the sensor networks themselves becomes ever more significant. As a cost-sensitive activity, facilities management deployments are less likely to deploy node redundancy and specialized technical staff to maintain these networks. Hence there are strong requirements for the network to efficiently self-diagnose, self-heal and integrate with standard buildings management systems. This paper introduces a solution for WSN management in smart buildings that addresses these issues. It is based on the deployment of the Open Framework Middleware for sensor networks coupled with a structured knowledge and rule-based fault analysis engine to perform network event correlation and root cause analysis. The system also explicitly interfaces with a Building management System (BMS) or the scheduling of network maintenance activities such as sensor battery replacement. ©2009 IEEE.

关键词： Topology

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Efficient Algorithm for Computing Link-Based Similarity in Real World Networks

Efficient Algorithm for Computing Link-Based Similarity in R...

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IEEE International Conference on data Mining (ICDM)

作者： Yuanzhe Cai Gao Cong Xu Jia Hongyan Liu Jun He Jiaheng Lu Xiaoyong Du Key Laboratories of Data Engineering and Knowledge Engineering Ministry of Education China Department of Computer Science Renmin University of China China Department of Computer Science University of Aalborg Denmark Department of Management Science and Engineering Tsinghua University China

关键词： computer networks Collaboration data engineering knowledge engineering computer science Iterative algorithms Filtering data mining Helium computer science education

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SimCon: A tool for modeling context sources for rapid evaluation of pervasive applications using virtual reality 5

SimCon: A tool for modeling context sources for rapid evalua...

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5th International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2008

作者： McGlinn, Kris O'Neill, Eleanor Lewis, David Knowledge and Data Engineering Group Department of Computer Science Trinity College Dublin Dublin 2 Ireland

Here we present the SimCon tool to enable evaluators of pervasive applications to rapidly place and configure context sources within a Virtual Reality Environment to conduct repeatable evaluations early in the develop... 详细信息

ISBN: (纸本)9789639799219

关键词： Ubiquitous computing

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S-SimRank: Combining Content and Link Information to Cluster Papers Effectively and Efficiently

S-SimRank: Combining Content and Link Information to Cluster...

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4th International Conference on Advanced data Mining and Applications

作者： Cai, Yuanzhe Li, Pei Liu, Hongyan He, Jun Du, Xiaoyong Key Labs of Data Engineering and Knowledge Engineering Ministry of Education China Department of Computer Science Renmin University of China China Department of Management Science and Engineering Tsinghua University China

ISBN: (纸本)9783540881919

Both Content analysis and link, analysis have its advantages in measuring relationships among documents. In this paper. we propose a new method to combine these two methods to compute the similarity of research papers so that we can do clustering of these papers more accurately. In order to improve the efficiency of similarity calculation, we develop a strategy to deal with the relationship graph separately, without affecting the accuracy. We also design an approach to assign different weights to different links to the papers, which can enhance the accuracy of similarity calculation. The experimental results conducted oil ACM data Set show that our new algorithm. S-SimRank, outperforms other algorithms.

关键词： Calculations

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GTMalpha - Towards a graphical notation for topic maps

GTMalpha - Towards a graphical notation for topic maps

引用

4th International Conference on Topic Maps Research and Applications, TMRA 2008

作者： Thomas, Hendrik Redmann, Tobias Pressler, Maik Markscheffel, Bernd Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland Department of Information and Knowledge Management Faculty of Economic Sciences Ilmenau University of Technology Germany

ISBN: (纸本)9783941152052

In the last years several drafts, recommendations and concepts for a graphical notation for Topic Maps have been published, but till today no graphical notation is generally approved and used in the Topic Maps community. In this paper we present GTMalpha as a conceptual new notation for a graphical representation of Topic Maps. Our objective is, to provide a practical usable notation, which allows a complete, consistent as well as easy to use graphical representation of any given topic map draft. GTMalpha provides a domain as well as a subject centric view and most important it considers the unique characteristics of the Topic Maps paradigm. This paper serves as a user oriented GTMalpha manual for ontology designers, domain experts as well as users.

关键词： Ontology

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Avoiding "big brother" anxiety with progressive self-management of ubiquitous computing services 5

Avoiding "big brother" anxiety with progressive self-managem...

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5th International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2008

作者： Feeney, Kevin Lewis, Dave McGlinn, Kris O'Sullivan, Declan Holohan, Anne Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland Department of Sociology Trinity College Dublin Ireland

ISBN: (纸本)9789639799219

Despite the significant research over the last ten years, commercial ubiquitous computing environments and pervasive applications remain thin on the ground. This paper looks at the explosion in application creativity on the internet in recent years - the so-called web 2.0' - in order to identify the obstacles to application creativity in ubiquitous computing. Although technological and standardisation advances are progressively diminishing the scale of the technical problems in the domain, how to manage such applications in such a way so as to encourage user-acceptance remains an open question. It is a question that is particularly difficult due to the serious privacy concerns and the need for negotiated management of services between users due to physically embedded nature of sensor-driven applications. We describe a technical platform which is designed to allow users of ubiquitous computing environments to manage their own personal data and share it in a controlled way and describe an experimental programme to measure the relationship between users' perception of how much control they can exercise over their personal data and their acceptance of ubiquitous computing applications. Copyright © 2008 ICST.

关键词： Ubiquitous computing

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SocialWeb Communities Executive Summary of the Dagstuhl Seminar

SocialWeb Communities Executive Summary of the Dagstuhl Semi...

引用

Social Web Communities 2008

作者： Alani, Harith Staab, Steffen Stumme, Gerd Address Harith Research Group ISWeb - Information Systems and Semantic Web University of Koblenz-Landau Univ.str. 1 Koblenz56016 Germany Knowledge & Data Engineering Group Department of Mathematics and Computer Science University of Kassel Wilhelmshöher Allee 73 Kassel34121 Germany

Blogs, Wikis, and Social Bookmark Tools have rapidly emerged on the Web. The reasons for their immediate success are that people are happy to share information, and that these tools provide an infrastructure for doing so without requiring any specific skills. At the moment, there exists no foundational research for these systems, and they provide only very simple structures for organising knowledge. Individual users create their own structures, but these can currently not be exploited for knowledge sharing. The objective of the seminar was to provide theoretical foundations for upcoming Web 2.0 applications and to investigate further applications that go beyond bookmark- and file-sharing. The main research question can be summarized as follows: How will current and emerging resource sharing systems support users to leverage more knowledge and power from the information they share on Web 2.0 applications? Research areas like Semantic Web, Machine Learning, Information Retrieval, Information Extraction, Social Network Analysis, Natural Language Processing, Library and Information sciences, and Hypermedia Systems have been working for a while on these questions. In the workshop, researchers from these areas came together to assess the state of the art and to set up a road map describing the next steps towards the next generation of social software. © 2008 Dagstuhl Seminar Proceedings. All rights reserved.

关键词： Natural language processing systems

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