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A Novel Data schema integration Framework for the Human-Centric Services in Smart City

ZTE Communications 2015年第4期13卷 25-33页

作者： Ding Xia Da Cui Jiangtao Wang Yasha Wang Peking University

Human-centric service is an important domain in smart city and includes rich applications that help residents with shopping, dining, transportation, entertainment, and other daily activities. These applications have generated a massive amount of hierarchical data with different schemas. In order to manage and analyze the city-wide and cross-application data in a unified way, data schema integration is necessary. However, data from human-centric services has some distinct characteristics, such as lack of support for semantic, matching, large number of schemas, and incompleteness of schema element labels. These make the schema integra- tion difficult using existing approaches. We propose a novel framework for the data schema integration of the human-centric services in smart city. The framework uses both schema metadata and instance data to do schema matching, and introduces human intervention based on a similarity entropy criteria to balance precision and efficiency. Moreover, the framework works in an incremental manner to reduce computation workload. We conduct an experiment with real-world dataset collected from multiple estate sale application systems. The results show that our approach can produce high-quality mediated schema with relatively less human in- terventions compared to the baseline method.

关键词： schema matching schema integration smart city human-centric service

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A Clustering Algorithm for Planning the integration Process of a Large Number of Conceptual schemas

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Journal of Computer Science & Technology 2015年第1期30卷 214-224页

作者： Carlo Batini: Paola Bonizzoni Marco Comerio Riccardo Dondi Yuri Pirola Prancesco Salandra Department of Informatics Systems and Communication University of Milano-Bicocca Milan 20126 Italy Department of Human and Social Sciences University of Bergamo Bergamo 24129 Italy

When tens and even hundreds of schemas are involved in the integration process, criteria are needed for choosing clusters of schemas to be integrated, so as to deal with the integration problem through an efficient iterative process. schemas in clusters should be chosen according to cohesion and coupling criteria that are based on similarities and dissimilarities among schemas. In this paper, we propose an algorithm for a novel variant of the correlation clustering approach that addresses the problem of assisting a designer in integrating a large number of conceptual schemas. The novel variant introduces upper and lower bounds to the number of schemas in each cluster, in order to avoid too complex and too simple integration contexts respectively. We give a heuristic for solving the problem, being an NP hard combinatorial problem. An experimental activity demonstrates an appreciable increment in the effectiveness of the schema integration process when clusters are computed by means of the proposed algorithm w.r.t, the ones manually defined by an expert.

关键词： conceptual schema schema integration clustering

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A CORBA-Based Multidatabase System——Panorama Project

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Wuhan University Journal of Natural Sciences 2003年第1A期8卷 21-27页

作者： Lou Qin\|jian, Sarem Mu dar, Li Rui\|xuan, Xiao Wei\|jun, Lu Zheng\|ding, Chen Chuan\|bo School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 Hubei China

Panorama is a multidatabase system (MDBS) devel oped in HUST. The project aims to achieve interoperability among existing, heter ogeneous, federated database management systems such as Oracle8, Sybase, and DM2 (A database management system developed at HUST, Wuhan, China). This system is based on OMG's distributed object management architecture and it is implemented on top of CORBA compliant, namely VisiBroker, which is used as its infrastructu re. Panorama can provide its users a single common data model and a single globa l query language named PanoSQL, which make it possible to incorporate different databases into the system. The main component of this system are interfaces for the Local DBMSs that participate in Panorama, a transaction manager, a common da ta model, a schema integrator, a global query language, and a global query proce ssing and optimization. We first discuss the architecture and components of Panorama system. We also dis cuss the schema integration in this system. And we extend our discussion to the query language, transaction management, and the query processing developed for t his system. Finally, a conclusion and the future work for our designed system ha ve been given.

关键词： heterogeneity CORBA architecture interoperabil ity schema integration multidatabase system

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多数据库模式集成等价性研究

多数据库模式集成等价性研究

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第十七届全国数据库学术会议

作者：吴炜卢正鼎郭宜斌华中理工大学计算机科学与技术学院

1引言在多数据库系统中,由于各成员数据库的局部模式是由不同的用户,在不同的时间和地点,基于不同的数据模型独立地设计的,它们之间可能存在着各种差异和冲突。为了实现用

关键词： Multidatabase systems(MDBS) schema integration schema transformation equivalence

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