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Textual knowledge flow based intelligent browsing of topics

Textual knowledge flow based intelligent browsing of topics

引用

3rd International Conference on grid and Pervasive computing Symposia/Workshops, GPC 2008

作者： Luo, Xiangfeng Hu, Qingliang Liu, Fangfang Yu, Jie Tang, Xinhuai Digital Content Computing and Semantic Grid Group Shanghai University 200072 China Shanghai Jiaotong University 200052 China

ISBN: (纸本)9780769531779

Textual Knowledge Flow (TKF) provides an effective technique and theoretical support for intelligent browsing. In order to realize the intelligent browsing of topics in Web or Library, TKF based intelligent browsing of topics is proposed. Firstly, topics are represented by Element Fuzzy Cognitive Maps (E-FCMs);then semantic values of concepts and semantic influences of relations are calculated based on their frequencies and weights in E-FCMs library. Thirdly, semantic similarity degrees between topics are calculated for building the semantic Link Network (SLN). Fourthly, with the help of SLN and user's demand, TKF between similar topics is activated as browsing path of topics to guide user's browsing behavior. Experimental results show that the browsing path of topics is easy to be built by the proposed method. TKF based topic browsing has a brilliant perspective in the applications of intelligent browsing, knowledge grid and semantic Web. © 2008 IEEE.

关键词： Behavioral research

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Merging element fuzzy cognitive maps 09

Merging element fuzzy cognitive maps

引用

3rd International Conference on Ubiquitous Information Management and Communication, ICUIMC'09

作者： Luo, Xiangfeng Du, Yi Liu, Fangfang Yu, Zhian Xu, Weimin Digital Content Computing and Semantic Grid Group Joint Lab. of Next-Generation Internet Interactive Computing Shanghai University 200072 China

ISBN: (纸本)9781605584058

Importance degree and difference degree of keywords in different topics have been computed by the weights in Element Fuzzy Cognitive Maps (E-FCMs). Logic "and" operation is introduced to roughly evaluate the similarities between mass E-FCMs in order to form similar communities of E-FCMs. Based on the weights computing and the logic "and" operation, an E-FCMs-based knowledge merging algorithm is proposed to inspect the noisy and the redundancy information hidden in the original E-FCMs belonging to one similar community. Shannon entropy is employed as an indicator to measure the loss of textual information during the merging process of E-FCMs. The merging algorithm and the indicator provide a concise representation of text knowledge that can be used in understanding-based text automatic classification and clustering, as well as relevant knowledge aggregation and integration. The proposed algorithm has very good application prospects in the fields of e-Science knowledge gird and e-Learning.

关键词： Merging

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Discovery of associated topics for the intelligent browsing

Discovery of associated topics for the intelligent browsing

引用

2008 the 1st IEEE International Conference on Ubi-Media computing and Workshops, U-Media2008

作者： Luo, Xiangfeng Xu, Zheng Yu, Jie Liu, Fangfang Digital Content Analysis and Semantic Grid Group Joint Lab. of Next-Generation Internet Interactive Computing Shanghai University 200072 China

ISBN: (纸本)9781424418657

Intelligent browsing of topics is one of the key issues of the Web and the Knowledge grid, which provides on-demand services to support knowledge discovery and innovation. In this paper, Background of topics composed by Associated Relations (BAR) between keywords belonging to one domain is developed to extend the topics' associated relations based on the Element Fuzzy Cognitive Maps (E-FCMs), which helps us discover the associated topics that do not have direct associated relation at the keyword level. The Matrix of element Concepts (MC) is presented to store element concepts of topics. Through MC we can obtain the causal concepts of each topic in one domain;logic operation "AND" is given to get associated topics. semantic Link Network (SLN) is automatically generated by the associated topics, which can realize the intelligent browsing of topics in Web or Knowledge grid. Experimental results show that the browsing path of topics is easier to be built by the proposed algorithm and the associated topic can be recommended automatically. Meanwhile, an application of the associated topics in multimedia provides a good prospect on the cross media intelligent browsing. © 2008 IEEE.

关键词： Fuzzy Cognitive Maps

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Discovery of web services based on collaborated semantic Link Network

Discovery of web services based on collaborated Semantic Lin...

引用

1st IEEE International Workshop on semantic computing and Systems, WSCS 2008

作者： Liu, Fangfang Luo, Xiangfeng Xu, Zheng Li, Xuhui Digital Content Computing and Semantic Grid Group Key Lab. of Grid Technology Shanghai University China State Key Lab. Of Software Engineering Wuhan University China

ISBN: (纸本)9780769533162

Web service becomes an important paradigm for internet application. To realize users' complex requirements, services with different functions, but sharing common features, should be selected quickly from a huge number of services on internet to be collaborated. Researches on the discovery of services have put the emphasis on the finding out of services with similar functions, which is unable to accomplish the purpose of collaboration. We propose a discovery method for the collaboration based on Collaborated semantic Link Network. C-SLN is constructed using services represented by E-FCMs and the similar and associated relations between E-FCMs as well. Through the experiments on a set of public web services, our approach shows that it can help to improve the efficiency of the discovery of services in favor of the collaboration. © 2008 IEEE.

关键词： Web services

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Discovery of Web Services Based on Collaborated semantic Link Network

Discovery of Web Services Based on Collaborated Semantic Lin...

引用

IEEE International Workshop on semantic computing and Systems, WSCS

作者： Fangfang Liu Xiangfeng Luo Zheng Xu Xuhui Liu Digital Content Computing and Semantic Grid Group Shanghai University China

ISBN: (纸本)9780769533162

Web service becomes an important paradigm for internet application. To realize userspsila complex requirements, services with different functions, but sharing common features, should be selected quickly from a huge number of services on internet to be collaborated. Researches on the discovery of services have put the emphasis on the finding out of services with similar functions, which is unable to accomplish the purpose of collaboration. We propose a discovery method for the collaboration based on Collaborated semantic Link Network. C-SLN is constructed using services represented by E-FCMs and the similar and associated relations between E-FCMs as well. Through the experiments on a set of public web services, our approach shows that it can help to improve the efficiency of the discovery of services in favor of the collaboration.

关键词： Web Service Legal Services discovery service network links semantics network applications

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Measuring knowledge delivery quantity of associated knowledge flow

Measuring knowledge delivery quantity of associated knowledg...

引用

4th International Conference on semantics, Knowledge, and grid, SKG 2008

作者： Shunxiang, Zhang Xiangfeng, Luo Jinjun, Chen Zheng, Xu Jie, Yu Weimin, Xu Digital Content Computing and Semantic Grid Group Joint Lab of Next-Generation Internet Interactive Computing Shanghai University China 200072 China Swinburne University of Technology Australia Anhui University of Science and Technology China232001 China

ISBN: (纸本)9780769534015

Associated knowledge flow (AKF) is a sequential link between associated topics, which can be applied to intelligent browsing and personalized recommendation. One key problem is how to measure the knowledge delivery quantity (KDQ) on an AKF. In this paper, a computational method of knowledge delivery quantity on an AKF is proposed. Firstly, considering the keywords and associated relations between two nodes, four key factors for knowledge delivery quantity between two nodes are investigated. Secondly, based on the four factors, an algorithm is proposed to calculate the knowledge delivery quantity between two nodes. Thirdly, the knowledge delivery quantity of a node with adjacent nodes is calculated for the measurement of local knowledge delivery on an AKF. Lastly, according to the local knowledge delivery, the average knowledge delivery quantity is proposed to measure an AKF. Experimental results show that the proposed measurement method is accurate and effective. © 2008 IEEE.

关键词： Fluid flow measurement Knowledge management grid computing Fuzzy cognitive maps Internet Computational intelligence Technological innovation Web services Resource management Data models

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Representation and evolution of user profile in web activity

Representation and evolution of user profile in web activity

引用

1st IEEE International Workshop on semantic computing and Systems, WSCS 2008

作者： Yu, Jie Luo, Xiangfeng Xu, Zheng Liu, Fangfang Li, Xuhui Digital Content Analysis and Semantic Grid Group Joint Lab. of Next-Generation Internet Interactive Computing Shanghai University 200072 China State Key Lab. Of Software Engineering Wuhan University 430072 China

ISBN: (纸本)9780769533162

In the web personalization of web service and construction of adaptive web site, how to represent uses profile is one of the key issues. Aiming at solving the existing problems in representation of user profile includes incapability of effectively representing user's recent interest, lack in dynamically effectively updating. This paper presents a new method of representation of user profile. By computing the interest degree with association degree between topics, updating of interest degree is preformed. By introducing memory model, it can predict which web pages are still concerned by the user. By classifying the operations on the presented user profile, the construction and evolution can be done. In case study a user's browsing activities is traced and corresponding user profile is built and evolves, thus to prove the feasibility of this method. © 2008 IEEE.

关键词： User profile

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Textual Knowledge Flow Based Intelligent Browsing of Topics

Textual Knowledge Flow Based Intelligent Browsing of Topics

引用

International Conference on grid and Pervasive computing Workshops, GPC

作者： Xiangfeng Luo Qingliang Hu Fangfang Liu Jie Yu Xinhuai Tang Digital Content Computing and Semantic Grid Group Shanghai University China Shanghai Jiaotong University China

Textual Knowledge Flow (TKF) provides an effective technique and theoretical support for intelligent browsing. In order to realize the intelligent browsing of topics in Web or Library, TKF based intelligent browsing of topics is proposed. Firstly, topics are represented by Element Fuzzy Cognitive Maps (E-FCMs); then semantic values of concepts and semantic influences of relations are calculated based on their frequencies and weights in E-FCMs library. Thirdly, semantic similarity degrees between topics are calculated for building the semantic Link Network (SLN). Fourthly, with the help of SLN and user's demand, TKF between similar topics is activated as browsing path of topics to guide user's browsing behavior. Experimental results show that the browsing path of topics is easy to be built by the proposed method. TKF based topic browsing has a brilliant perspective in the applications of intelligent browsing, knowledge grid and semantic Web.

关键词： Fuzzy cognitive maps Machine intelligence Pervasive computing Frequency Knowledge management grid computing Software libraries semantic Web Technological innovation Text analysis

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Generation of Web Knowledge Flow for Personalized Services

Generation of Web Knowledge Flow for Personalized Services

引用

International Symposium on Parallel and Distributed Processing with Applications, ISPA

作者： Jie Yu Xiangfeng Luo Feiyue Ye Yongmei Lei Digital Content Computing and Semantic Grid Group Joint Laboratory of Next-Generation Internet Interactive Computing Shanghai University China

Personalized services provide specific services to satisfy userpsilas real-time requirements. How to effectively discover and organize proper Web resources is a key issue. Based on Web knowledge flow which is used to semantically organize and represent Web resources that are recommended to user, this paper presents a 3-way strategy of finding proper resources for a user in multi-user environment. With this strategy, generation of Web Knowledge flow can be accomplished based on collaborative user and semantics link network. First, according to the similarity degree between active user and collaborative user, collaborative user is refined to strict kind and loose kind. Secondly, userpsilas browsing sequence of Web resources is presented to find collaborative users and implemented in a 3-D coordinate space. Thirdly, average information entropy of semantic relationship between Web resources is presented to evaluate the similarity of userspsila browsing feature. The experimental results demonstrate the validity of the method. It can be seen that the proposed method has a brilliant perspective in the applications of Web personalized services.

关键词： Collaboration Information entropy Filtering Concurrent computing Distributed computing grid computing Qualifications Ontologies Distributed processing Mesh generation

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Trust factors in P2P networks

Trust factors in P2P networks

引用

1st IEEE International Workshop on semantic computing and Systems, WSCS 2008

作者： Chen, Xue Chen, Guisheng Liu, Jin Luo, Xiangfeng Li, Xuhui Li, Bing Digital Content Computing and Semantic Grid Group Joint Lab. of Next-Generation Internet Interactive Computing Shanghai University 200072 China State Key Lab. of Software Engineering Wuhan University 430072 China Institute of Electronic System and Engineering of China Beijing 100039 China

ISBN: (纸本)9780769533162

P2P networks have become a popular way to share large volumes of data due to its open and anonymous nature. P2P network model is designed with the targets of decentralization, well-scaling, fault-tolerance and low cost. Meanwhile however, new targets bring new challenges. P2P network expose more security threats due to its open and anonymous nature. P2P networks are vulnerable to attacks by malicious peers that have an incentive to spread viruses, inauthentic data, or provide poor quality services. In this paper, we analyze the potential trust problems for different kinds of P2P networks, and then present the general trust factors that are indispensable for building trust models in any kinds of networks. © 2008 IEEE.

关键词： Peer to peer networks

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