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A new framework for accessing trusted network

A new framework for accessing trusted network

引用

2nd International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2009

作者： Wang, Jian Liu, Yanheng Jia, Xiangpeng Liu, Xiaomin College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China Chinamobile Shenyang Branch Corporation Shenyang 110011 China

ISBN: (纸本)9780769538525

Trusted Network Connect (TNC), whose goal is to improve network security from source, now has become hot topic in security domain. We proposed a new access model for the terminals without meeting the requirements in TNC specifications. Also we discussed the work flow and communication process of presented model. Simulations show that the feasibility of the presented model used in the scenario where terminals fall short of network demand can pass the access authentication of network with TNC specifications. © 2009 IEEE.

关键词： Network security

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Extracting Attributes from Deep Web Interface Using Instances

Extracting Attributes from Deep Web Interface Using Instance...

引用

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

作者： Hao Liang Fei Ren Wanli Zuo Fengling He Junhua Wang College of Computer Science and Technology Jilin University Changchun China Department of Information Changchun Taxation College Changchun China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun China

There is myriad high quality information in the Deep Web and the feasible method to access the Deep Web is through the query interface of the Deep Web. Itpsilas necessary to extract abundant attributes and semantic relation description from the query interface. Automatic extracting attributes from the query interface and automatically translating a query is a solvable way for addressing the current limitations in accessing Deep Web data sources. We design a framework to automatically extract the attributes and instances from the query interface using the WordNet as a kind of ontology technique to enrich the semantic description of the attributes. Each attribute is extended into a candidate attribute set in the form of a hierarchy tree. At the same time, the hierarchy tree generated by ontology describes the semantic relation of the attributes in the same query interface. We carry out our experiments in the real-world domain. The results of the experiments showed the validation of query translation framework.

关键词： Data mining Ontologies Computer science Educational institutions Databases Programming profession HTML Laboratories Computer interfaces knowledge engineering

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K-Means on Commodity GPUs with CUDA

K-Means on Commodity GPUs with CUDA

引用

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

作者： Bai Hong-tao He Li-li Ouyang Dan-tong Li Zhan-shan Li He Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China Jilin University Changchun Jilin CN

K-means algorithm is one of the most famous unsupervised clustering algorithms. Many theoretical improvements for the performance of original algorithms have been put forward, while almost all of them are based on single instruction single data (SISD) architecture processors (GPUs), which partly ignored the inherent paralleled characteristic of the algorithms. In this paper, a novel single instruction multiple data (SIMD) architecture processors (GPUs) based k-means algorithm is proposed. In this algorithm, in order to accelerate compute-intensive portions of traditional k-means, both data objects assignment and k-centroids recalculation are offloaded to the GPU in parallel. We have implemented this GPU-based k-means on the newest generation GPU with compute unified device architecture(CUDA). The numerical experiments demonstrated that the speed of GPU-based k-means could reach as high as 40 times of the CPU-based k-means.

关键词： Hardware Yarn Clustering algorithms Computer architecture Kernel Concurrent computing Graphics Computer science Helium Acceleration

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Semantic Web Service Modeling and Composition Based on Description Logic Rule

Semantic Web Service Modeling and Composition Based on Descr...

引用

International Conference on Information Technology and Computer Science, ITCS

作者： Sipei Liu Dayou Liu Hong Qi College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

One kind of semantic Web service modeling and composition method based on description logic (DL) rule is introduced in this paper. We use DL rule to figure out the hyponymy relationship between concepts of domain ontology and model Web service functional semantic of ServiceProfile, and define service DL rule to describe semantic matching of atomic Web service. Furthermore, we propose DL rule chain to describe semantic Web service composition, and prove that its semantic is corresponding to a new DL rule. Moreover, we give DL rule chain finding algorithm and WSR matching algorithm to find the composition result. Finally, we generate a dataset to test two algorithms above and show perfect execution efficiency.

关键词： Semantic Web Web services Ontologies Logic functions Computer science Meteorological radar Testing Information technology Educational institutions Educational technology

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Service Community Model for Web Service Composition

Service Community Model for Web Service Composition

引用

International Workshop on Intelligent Systems and Applications, ISA

作者： Si-Pei Liu Da-You Liu Yao-Fu Cao Hong Qi College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

In this paper, we introduce two concepts of service semantic relation and semantic relation chain to figure out service composition relation and sequentially service composition. For parallel service composition, we propose Web service community (WSC) model which corresponding to a Split+Join structure, So we introduce a kind of divide and conquer method to convert parallel service composition into sequentially service composition based on WSC chains and which can solve sequential and parallel service composition problems in an agreement way. Finally, a parallel composition example illustrations the execution process of our method.

关键词： Web services Ontologies Automation Artificial intelligence Merging Educational institutions Computer science Educational technology Laboratories knowledge engineering

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Automatic Integration of Deep Web Query Interfaces Based on Ontology

Automatic Integration of Deep Web Query Interfaces Based on ...

引用

International Conference on Computer Sciences and Convergence Information Technology (ICCIT)

作者： Ying Wang Tao Peng Wanli Zuo Fengling He College of Computer Science and Technology Ministry of Education Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Changchun China

ISBN: (纸本)9781424452446

Query interface is used to formulate queries to receive needed data from web databases in deep web. In order to access domain-specific databases, the most important step is to construct an integration interface that allows uniform access to disparate relevant sources. Therefore, this paper proposes a novel method of integrating query interfaces based on ontology in deep web. Firstly, make full use of the complex relationships which are provided by ontology, and find the semantic relationships between attributes. Then, record the matching relationships and matching frequencies into a mapping table to reserve the structure and the order of attributes. Lastly, extract these concepts from ontology as integration interface attributes which are matched with corresponding attribute labels from local interfaces, and descend order in accordance with the matching frequencies to get an integration interface. Experiment result shows that this method has dramatically improved the matching precision of query interfaces.

关键词： Deep Web Ontology Interface integration Mapping table

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An Approach to Accelerate Diagnosis by Isomorphic Determining

An Approach to Accelerate Diagnosis by Isomorphic Determinin...

引用

International Conference on Information engineering and Computer Science (ICIECS)

作者： Xiaoyu Wang Dantong Ouyang Yuxuan Feng Jian Zhao College of Computer Science & Technology Key Laboratory Symbolic Computation and Knowledge engineering Ministry of Education Jilin University Changchun China

When diagnosing dynamic system represented as discrete-event systems, it needs to find what happened to the systems from observations. The behavior of system could be represented by automaton model. The diagnostic task consists in determining the models compatible with the observations, but the global computation which is needed in synchronization costs exponential time. In this paper we propose a new method to simplify the automaton by isomorphic determining. The cost of computation will be significantly cut down by merging the automatons with the same structure, and the time-complexity of the diagnosis process could be reduced by the method.

关键词： Acceleration Automata Discrete event systems Educational institutions Computer science Laboratories knowledge engineering Costs computational efficiency Merging

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Automatic Deep Web Query Results Extraction Based on Tag Trees

Automatic Deep Web Query Results Extraction Based on Tag Tre...

引用

International Symposium on computational Intelligence and Design, ISCID

作者： Ying Xie Wanli Zuo Fengling He Ying Wang College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic of Computation and Knowledge Engineering Ministry of Education China

Automatic deep Web query results extraction is a key step of deep Web query results processing. Extracting the query results correctly is the precondition and guarantee of realizing semantic annotation and data integration. In this paper, a simple method for extracting deep Web query results automatically based on tag trees is proposed according to the features of deep Web query results page. The method first builds a tag tree of the given result page. Then finds minimal data regions in the tag tree from top to down, and extracts data records included by them. The experiment has shown that the method is effective.

关键词： Data mining HTML Web pages computational intelligence Educational institutions Computer science Educational technology Laboratories knowledge engineering Computer science education

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K-harmonic means data clustering with Differential Evolution

K-harmonic means data clustering with Differential Evolution

引用

International Seminar on Future BioMedical Information engineering, FBIE

作者： Ye Tian Dayou Liu Hong Qi Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN

K-harmonic means clustering algorithm (KHM) is a center-based like K-means (KM), which uses the harmonic averages of the distances from each data point to the centers as components to its performance function and overcomes KM's one major drawback that is highly dependent on the initial identification of elements that represent the clusters. However, KHM is also easily trapped in local optima. In this paper, a hybrid data clustering algorithm DEKHM based on Differential Evolution (DE) and KHM is proposed, which makes full use of the merits of both algorithms. The DEHKM algorithm not only helps KHM clustering escape from local optima but also overcomes the shortcoming of the slow convergence speed of the DE algorithm. The experiment results on three popular data sets illustrate the superiority and the robustness of the DEKHM clustering algorithm.

关键词： Clustering algorithms Iterative algorithms knowledge engineering Educational institutions Computer science Educational technology Laboratories High performance computing Computer science education Data mining

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Semantic-Based Hierarchicalize the Result of Suffix Tree Clustering

Semantic-Based Hierarchicalize the Result of Suffix Tree Clu...

引用

International Symposium on knowledge Acquisition and Modeling, KAM

作者： Guodong hu Wanli Zuo Fengling He Ying Wang College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic of Computation and Knowledge Engineering Ministry of Education China

Suffix tree clustering is a fast, incremental, linear time clustering algorithm, but there are synonymous and label-contained relations among the result clusters. So just return these results to the users directly, would give them an added burden. In response to this problem, this paper presents a method that merging the semantic duplicate clusters and hierarchicalizing the label-contained clusters. The experimental results show that this method can effectively remove semantic duplication and hierarchicalize label-contained clusters clearly. It improves the organization of clustering results. To the STC search engine, this will provide users with better results and better classification.

关键词： Clustering algorithms Search engines Merging Java knowledge acquisition Educational institutions Computer science Educational technology Laboratories knowledge engineering

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