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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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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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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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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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A New Formal Description of Ontology Definition and Ontology Algebra

A New Formal Description of Ontology Definition and Ontology...

引用

International Symposium on knowledge Acquisition and Modeling, KAM

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

Ontology definition is the base of ontology engineering, however, ontology definition currently seldom provides the accurate mathematical characteristics, namely, most of the ontology definitions cannot be described in a formal way, and the existing ontology definitions aren't complete enough. In this paper, it reviews and sums up the ontology definitions and the formal descriptions of ontology. And, it proposes a novel method of formal ontology definition by analyzing existing ontology definitions, which can make the ontology modeling primitives precise by delimiting the data types with functional description language. Lastly, puts forward the closed definition of ontology algebra, and gives a formal description of ontology algebra based on the new formal description of ontology.

关键词： Ontologies Algebra knowledge engineering Vocabulary Artificial intelligence Set theory knowledge acquisition Mathematical model Educational institutions Computer science

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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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Modeling Router-Level Internet Topology

Modeling Router-Level Internet Topology

引用

International Workshop on Chaos-Fractals Theories and Applications (IWCFTA)

作者： Cheng Zhang Yanheng Liu Jian Wang Minhui Xia Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN

Modeling Internet topology is necessary for analyzing of network characteristics for the large and even growing network size. For example, the evolution of network structure and node attributes in the network is a key issue for us to understand the network properties and to design appropriate internetworking technology. In this paper, we define ¿favorability degree¿ to quantity the attributes of a node in the network. Then, a new modeling algorithm for Internet router-level topology is proposed by considering the influence of both node static and dynamic properties. By means of simulations and power-law, the presented modeling algorithm is demonstrated to be capable of precisely modeling the Internet router-level topology.

关键词： Network topology IP networks Frequency Large-scale systems Web and internet services Distribution functions Chaos Application software Educational institutions Computer science

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Improved Semantic Retrieval Based on Domain Ontology

Improved Semantic Retrieval Based on Domain Ontology

引用

International Conference on Fuzzy Systems and knowledge Discovery (FSKD)

作者： Dong-hui Yuan Da-you Liu Shi-qun Shen Pu Yan Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN

Semantic retrieval is a hot area of Web search technology constantly because of the growing information. This paper proposed a creative semantic retrieval method with Path Weight Semantic Distance (PWSD) algorithm which is improved from current model. Based on the domain ontology built by protege, PWSD considers both the hierarchy and the property restrictions of the concepts synthetically, and provides an accurate computation of semantic distance between conceptions. We have investigated the feasibilities, advantages and statistical significances from the comparison between our system and personalized categorization system (PCAT) and found that our system has high performances with 95% or higher statistical significance for short queries tasks.

关键词： Ontologies Information retrieval Educational technology Web search Taxonomy Search engines Fuzzy systems Educational institutions Computer science Laboratories

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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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The design and analysis of distributed authentication scheme in VANET

The design and analysis of distributed authentication scheme...

引用

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

作者： Jian Wang Yanheng Liu Yu Jiao Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin China Jilin University Changchun Jilin CN

Vehicular ad hoc networks (VANETs) have many new characteristics unlike traditional network, such as centriclessness, mobility and multi-hop transmission, which invalidate conventional key managements. The fast development and successful application of trusted computing technology provide a potential solution to achieve effective authentication and trust evaluation. According to the VANETs with hierarchy organization structure like tank group, a new authentication and trust evaluation framework is proposed based on trusted computing technology, the concepts of "trusted attribute" and "trusted grade" are introduced, and the key management architecture as well as authentication process of mobile node are explained in detail. Moreover, the real applications of the presented framework in tank fight are discussed, and the trust evaluation methods and its argumentations in the presented framework are given.

关键词： Authentication Frequency Wire Electronic packaging thermal management Circuit simulation Scattering parameters Bonding Integrated circuit packaging Chip scale packaging Equivalent circuits

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