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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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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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Ensemble methods for spectral-spatial classification of urban hyperspectral data

Ensemble methods for spectral-spatial classification of urba...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xin-Lu Wang Björn Waske Jón Atli Benediktsson Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Faculty of Electrical and Computer Engineering University of Iceland Reykjavik Iceland

Classification of hyperspectral data with high spatial resolution from urban areas is investigated. The approach is an extension of existing approaches, using both spectral and spatial information for classification. The spatial information is derived by mathematical morphology and principal components of the hyperspectral data set, generating a set of different morphological profiles. The whole data set is classified by the Random Forest algorithm. However, the computational complexity as well as the increased dimensionality and redundancy of data sets based on morphological profiles are potential drawbacks. Thus, in the presented study, feature selection is applied, using nonparametric weighted feature extraction and the variable importance of the random forests. The proposed approach is applied to ROSIS data from an urban area. The experimental results demonstrate that a feature reduction is useful in terms of accuracy. Moreover, the proposed approach also shows excellent results with a limited training set.

关键词： Hyperspectral imaging Feature extraction Radio frequency Hyperspectral sensors Morphology Remote sensing data mining Image reconstruction knowledge engineering Spatial resolution

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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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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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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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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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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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