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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

来源：评论

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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

来源：评论

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Generating Associated Relation between Documents

Generating Associated Relation between Documents

引用

IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Xiangfeng Luo Guoning Liang Shijun Liu Joint Laboratory of Next-Generation Internet Interactive Computing Digital Content Analysis and Semantic Grid Group Shanghai University China

Traditional text mining techniques have weak ability to provide associated relations with rich semantics that is a foundation of the intelligent browsing of topics, discovery of semantic community and precise personalized recommendation in current Web and knowledge grid, etc. In this paper we propose an algorithm to generate and calculate the associated relations and their strengths between documents within a domain. Each document is represented by a bag of words and their weights. We first build domain knowledge background based on the association rules at keyword level, and then we apply those association rules to generate and calculate the documents' semantic relations and their strengths at document level, which effectively shorten the semantic gap from keyword semantics to document semantics. Experimental results show that our proposed method is feasible and able to discover interesting facts within a domain.

关键词： Association rules Databases Web pages Communities Algorithm design and analysis Knowledge engineering Text mining

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Discovery of associated topics for the intelligent browsing

Discovery of associated topics for the intelligent browsing

引用

IEEE International Conference on Ubi-Media computing

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

关键词： Fuzzy cognitive maps Data mining Technological innovation Intelligent networks Association rules Web and internet services grid computing Logic Mesh generation Uniform resource locators

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Exploiting independence in design of web service composition

Exploiting independence in design of web service composition

引用

IEEE International Conference on Web Services, ICWS 2008

作者： Fangfang, Liu Yan, Chi Xiangfeng, Luo School of Computer Engineering and Science Shanghai University China Shifang Research Shanghai China Digital Content Analysis and Semantic Group Joint Lab. Next-Generation Internet Interactive Computing Shanghai University China

ISBN: (纸本)9780769533100

Communications among web services are asynchronous. Asynchronous models of service compositions face the problem that the performance of verification is bring down with states explosion. We describe an approach, which utilize the interaction-independence of component services in the composition and forms all component services into different groups. Preliminary experiment results show that the verification of service compositions upon these groups can decrease the size of exploration states and hence improve the performance. ©2008 IEEE.

关键词： Web services

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Representation and Evolution of User Profile in Web Activity

Representation and Evolution of User Profile in Web Activity

引用

IEEE International Workshop on semantic computing and Systems, WSCS

作者： Jie Yu Xiangfeng Luo Zheng Xu Fangfang Liu Xuhui Li Digital Content Analysis and Semantic Grid Group Joint Lab of Next Generation Internet Interactive Computing Shanghai University China State Key Laboratory Of Software Engineering Wuhan University of China 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 userpsilas 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 userpsilas browsing activities is traced and corresponding user profile is built and evolves, thus to prove the feasibility of this method.

关键词： user profiling websites evolution representations Evolution Consumers Web Service Web pages World Wide Web Web search engines congenital web webs evolution evolution

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Trust Factors in P2P Networks

Trust Factors in P2P Networks

引用

IEEE International Workshop on semantic computing and Systems, WSCS

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

关键词： Trust factors P2P networks Topology P2P network topology Nonprofit Organizations Trust trust Quality of service large volume data

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Building Knowledge Flow of Textual Topics for the e-Science Knowledge grid

Building Knowledge Flow of Textual Topics for the e-Science ...

引用

第六届网格与协同计算国际会议(The Sixth International Conference on grid and Cooperative computing GCC 2007)

作者： Xiangfeng Luo Zhian Yu Digital Content Analysis and Semantic Grid Group Key Lab.of Grid TechnologyShanghai University China 200072

In order to build knowledge flow of textual topics, the enormous topics of scientific texts are needed to be managed and organized. Island is proposed to manage the topic of scientific text belonging to the same domain. Interest Table is presented to store the textual topics that researcher is interested recently. KM-Chord is introduced to organize KM, which not only reflects the concepts (keywords) of textual topic, but also takes the relationships between concepts into account. So KM-Chord has more strong semantic information than traditional Chord. Knowledge Map (KM) representing textual topic can be located quickly with the help of KM-Chord, and the semantic information between KMs can be found (eg. similar and subtype relationship) for building the knowledge flow of the textual topics. The knowledge flow of textual topics can support knowledge innovation, cooperative teamwork, problem-solving and decision-making in e-Science Knowledge grid. Experiments show KM-Chord not only can locate and route the textual topic, but also build the knowledge flow of textual topic effectively. So the proposed KM-Chord is a good method to build the Knowledge Flow of textual topics for the e-science Knowledge grid, semantic grid and current Web.

关键词： Knowledge management Technological innovation Technology management Teamwork Decision making Environmental management Ontologies content management Problem-solving Collaborative work

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