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The Prototype of Marine data integration system Based on J2EE

JOURNAL OF COASTAL RESEARCH 2020年第Sup1期112卷 414-417页

作者： Gao, Xin Yellow River Conservancy Tech Inst Kaifeng 475000 Peoples R China

Aiming at the heterogeneity of data sources in marine disciplines, this article uses XML technology for integration to achieve a unified representation of marine data. At the same time, it is supported by J2EE technology to propose and implement a multi-layer B/S architecture for marine XML data integration. The system prototype uses the scalable vector graphics (SVG) technology, an emerging XML technology, to realize the interaction of ocean data based on XML and provide support for ocean informatization.

关键词： Marine XML data integration system SVG heterogeneous data sources

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Intensional Model for data integration system in Open Environment 12

Intensional Model for Data Integration System in Open Enviro...

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12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) / 12th International Conference on Knowledge Engineering and Ontology Development (KEOD)

作者： Ali, Islam Mclsaac, Kenneth Western Univ Dept Elect & Comp Engn Richmond St London ON Canada

ISBN: (纸本)9789897584749

Open environment allows agents to associate and/or dissociate with the environment without affecting the overall functionality of the system. There are several challenges to modeling data integration systems (DIS) in open environment. This is because of the distributed, dynamic, heterogeneous, and loosely coupled nature of open environment. It is also important to note that information systems are intensional in nature. This is because the belief of an agent and the knowledge of an information system are intensional contexts. Open environments are also intensional in nature. This is because, the dynamic nature of open environment imposes no constrains on the set of participating agents or the number information systems plugged into the system. We propose the use of Mediated P2P architecture for the architecture of data integration systems in open environment. The DIS is formulated using Intensional Epistemic Logic (IEL). We also present an interface and query answering semantics that are based on the IEL. The proposed model accounts for the intensional, distributed, dynamic, and loosely-coupled characteristics of open environment.

关键词： data integration data integration system Mediated-P2P Intentional Modeling Open Environment Epistemic Logic Intensional Epistemic Logic

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Design Of Multimedia Tennis Teaching data integration system In Colleges And Universities Based On Computation

Design Of Multimedia Tennis Teaching Data Integration System...

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International Conference on Smart Grid and Electrical Automation (ICSGEA)

作者： Jiao Yuping Guangdong Univ Foreign Studies Dept Phys Educ Guangzhou 510420 Guangdong Peoples R China

ISBN: (纸本)9781728144634

In order to improve the management ability of multimedia tennis video teaching data in colleges and universities under cloud computing, the optimization design of college multimedia tennis video teaching data integration system is carried out. Big data processing technology is used to optimize the scheduling and management of multimedia tennis video teaching data in colleges and universities under cloud computing, and a data management model of college multimedia tennis video teaching is constructed. Extracting metadata of college multimedia tennis video teaching data under cloud computing, using semantic feature extraction method to extract multimedia tennis video teaching data information feature extraction, The fuzzy correlation degree characteristics of multimedia tennis video teaching data metadata in cloud computing environment is calculated, and combines fuzzy clustering method to deal with multimedia tennis video teaching data information clustering in colleges and universities under cloud computing. Improve the multimedia tennis video teaching data extended query and parallel scheduling ability. Develop and design the multimedia tennis video teaching data integration system in the embedded mobile terminal. The simulation results show that this method is used to design the multimedia tennis video teaching data integration system under cloud computing, which improves the information management ability of the multimedia tennis video teaching data, and the balance of resource scheduling is good, the teaching quality is improved.

关键词： cloud computing environment multimedia tennis video teaching data integration system

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Design Of Digital Campus Platform data integration system Based On Xml

Design Of Digital Campus Platform Data Integration System Ba...

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International Conference on Intelligent Transportation, Big data & Smart City (ICITBS)

作者： Cheng, Yinqian Wu, Zhiyuan China Univ Geosci Informat Network Ctr Beijing 100083 Peoples R China

ISBN: (纸本)9781728113074

In order to solve the problem that the current campus data integration system is not effective in processing local heterogeneous data, the data integration system of digital campus platform based on XML is optimized. By optimizing the hardware configuration, perfecting the data converter structure in the system, perfecting the characteristic conversion and integration process of heterogeneous data, calculating the standard parameters of heterogeneous data characteristic conversion combined with the scheduling algorithm, normalizing the heterogeneous data according to the standard parameters, and carrying out efficient data integration in the data converter after completing the normalization process combined with the optimized heterogeneous data characteristic conversion and integration process, so as to complete the design goal of the data integration system based on the XML digital campus platform. Finally, the experiment proves that compared with the traditional data integration system, the data integration rate of the XML - based digital campus platform data integration system for heterogeneous data has increased by more than 20%, and the processing effect has improved significantly compared with the traditional data integration system.

关键词： XML Digital Campus Platform data integration system

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Design Of Digital Campus Platform data integration system Based On Xml

Design Of Digital Campus Platform Data Integration System Ba...

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作者： Yinqian Cheng Zhiyuan Wu Information Network Center China University of Geosciences

In order to solve the problem that the current campus data integration system is not effective in processing local heterogeneous data,the data integration system of digital campus platform based on XML is *** optimizing the hardware configuration,perfecting the data converter structure in the system,perfecting the characteristic conversion and integration process of heterogeneous data,calculating the standard parameters of heterogeneous data characteristic conversion combined with the scheduling algorithm,normalizing the heterogeneous data according to the standard parameters,and carrying out efficient data integration in the data converter after completing the normalization process combined with the optimized heterogeneous data characteristic conversion and integration process,so as to complete the design goal of the data integration system based on the XML digital campus ***,the experiment proves that compared with the traditional data integration system,the data integration rate of the XML-based digital campus platform data integration system for heterogeneous data has increased by more than 20%,and the processing effect has improved significantly compared with the traditional data integration system.

关键词： XML Digital Campus Platform data integration system

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Enhancing Big data Conversion Validation with Alpha-Lightweight Coreset

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SN Computer Science 2023年第6期4卷 799页

作者： Hoang, Nguyen Le Dang, Tran Khanh Ritsumeikan University Kusatsu Shiga Japan Ho Chi Minh City University of Industry and Trade Ho Chi Minh City Viet Nam

In this paper, we apply a previously proposed data conversion system that leverages the α -lightweight coreset for efficient and accurate validation in the context of big data. The system is designed to migrate data from MySQL to MongoDB while preserving consistency across columns, rows, and data types. We focus on the validation process, which employs the α -lightweight coreset to identify errors in the transformed data quickly and with high accuracy. We investigate the optimal value of α for various scenarios by comparing different α values from 0 to 1. Our experimental results demonstrate that the α value around 3/4 generally provides optimal performance. However, for datasets requiring more focus on the additive error, the optimal α value may differ. This study highlights the effectiveness of the α -lightweight coreset in improving the speed and accuracy of the validation process in data conversion systems for big data. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Coreset data conversion data integration system data sampling data transformation

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A Deeper Analysis of the Hierarchical Clustering and Set Unionability-Based data Union Method

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SN Computer Science 2022年第6期3卷 486页

作者： Dang, Tran Khanh Ta, Manh Huy Ho Chi Minh City University of Food Industry (HUFI) 140 Le Trong Tan Street Tan Phu District Ho Chi Minh City Viet Nam Ho Chi Minh City University of Technology VNU-HCM 268 Ly Thuong Kiet Street District 10 Ho Chi Minh City Viet Nam

data nowadays are an extremely valuable resource. data can come from different sources, and it can originate from the government of a country, an organization, a company, or just a normal person. Furthermore, the content of data is varied: the data could be about primary education in the U.K, it could be about medical care in the U.S., or it could be about agriculture in Vietnam, etc. It is reasonable to assume that among those datasets, some datasets would be about the same topic. Moreover, those datasets could have the same structures, or at least, similar structures. It is beneficial that we can union those datasets into more meaningful datasets: The unionized datasets would contain the collective information of the datasets, and the users and scientists do not have to spend a lot of time searching and combining the datasets themselves, etc. In this paper, we proposed a data union method based on hierarchical clustering and Set Unionability for JSON-format data. Besides, we also performed some experiments to evaluate our method and prove its feasibility. © 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： data integration system data union Hierarchical clustering Open data

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Intermediate data Format for the Elastic data Conversion Framework 15

Intermediate Data Format for the Elastic Data Conversion Fra...

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15th International Conference on Ubiquitous Information Management and Communication (IMCOM)

作者： Tran Khanh Dang Ta Manh Huy Nguyen Le Hoang Ho Chi Minh City Univ Technol HCMUT VNU HCM 268 Ly Thuong Kiet StDist 10 Ho Chi Minh City Vietnam

ISBN: (数字)9781665423182

ISBN: (纸本)9781665423182

With the development of technology, data is becoming an extremely valuable resource. data is being created, analyzed and used in a massive scale in every modern system. As a result, data analysis and data mining are very essential in each aspect of social applications. The value of data will be more useful if it can be linked and merged with other different data resources, especially for solving current social problems. In order to make a reality of this big challenge, data transformation is a crucial step that we have to overcome. Among data conversion methods, the intermediate method is to be a preferable one due to its expandable ability. However, for this type of model, finding the intermediate data type for the system is the crucial problem that needs to be solved firstly. In this paper, we will make comparisons among some popular data formats to find the appropriate data type for this elastic data conversion system.

关键词： data format data type data conversion data integration system data transformation open data

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An Elastic data Conversion Framework: A Case Study for MySQL and MongoDB

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SN Computer Science 2021年第4期2卷 1-15页

作者： Dang, Tran Khanh Huy, Ta Manh Dang, Ly Hoang Le Hoang, Nguyen Ho Chi Minh City University of Technology Vietnam National University Ho Chi Minh City 268 Ly Thuong Kiet District 10 Ho Chi Minh City Viet Nam

data nowadays are extremely valuable resource. However, data are created and stored in different places with various formats and types. As a result, it is not easy and efficient for data analysis and data mining which can make profits for every aspect of social applications. To overcome this problem, data conversion is a crucial step that we have to build for linking and merging different data resources to a unified data store. In this paper, based on the intermediate data conversion model, we proposed an elastic data conversion framework for data integration system. Besides, we also performed an experiment to evaluate our model using MySQL and MongoDB. © 2021, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： data conversion data integration system data transformation Open data

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MapSDI: A Scaled-Up Semantic data integration Framework for Knowledge Graph Creation

MapSDI: A Scaled-Up Semantic Data Integration Framework for ...

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27th International Conference on Cooperative Information systems, (CoopIS) / International Conference on Ontologies, databases, and Applications of Semantics (ODBASE) / Conference on Cloud and Trusted Computing (C and TC)

作者： Jozashoori, Samaneh Vidal, Maria-Esther Leibniz Univ Hannover L3S Res Ctr Hannover Germany TIB Leibniz Informat Ctr Sci & Technol Hannover Germany

ISBN: (纸本)9783030332464;9783030332457

Semantic web technologies have significantly contributed with effective solutions for the problems of data integration and knowledge graph creation. However, with the rapid growth of big data in diverse domains, different interoperability issues still demand to be addressed, being scalability one of the main challenges. In this paper, we address the problem of knowledge graph creation at scale and provide MapSDI, a mapping rule-based framework for optimizing semantic data integration into knowledge graphs. MapSDI allows for the semantic enrichment of large-sized, heterogeneous, and potentially low-quality data efficiently. The input of MapSDI is a set of data sources and mapping rules being generated by a mapping language such as RML. First, MapSDI pre-processes the sources based on semantic information extracted from mapping rules, by performing basic database operators;it projects out required attributes, eliminates duplicates, and selects relevant entries. All these operators are defined based on the knowledge encoded by the mapping rules which will be then used by the semantification engine (or RDFizer) to produce a knowledge graph. We have empirically studied the impact of MapSDI on existing RDFizers, and observed that knowledge graph creation time can be reduced on average in one order of magnitude. It is also shown, theoretically, that the sources and rules transformations provided by MapSDI are data-lossless.

关键词： Knowledge graph creation Semantic data integration Transformation rules data integration system

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