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A Grammar Analysis Model for the Unified Multimedia query language

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Journal of Electronic Science and Technology of China 2008年第3期6卷 317-322页

作者： Zhong-Sheng Cao Zong-Da Wu Yuan-Zhen Wang School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

The unified multimedia query language （UMQL） is a powerful general-purpose multimedia query language, and it is very suitable for multimedia information retrieval. The paper proposes a grammar analysis model to implement an effective grammatical processing for the language. It separates the grammar analysis ofa UMQL query specification into two phases： syntactic analysis and semantic analysis, and then respectively uses Backus-Naur form （EBNF） and logical algebra to specify both restrictive grammar rules. As a result, the model can present error guiding information for a query specification which owns incorrect grammar. The model not only suits well the processing of UMQL queries, but aLso has a guiding significance for other projects concerning query processings of descriptive query languages.

关键词： Grammar analysis query language query processing unified multimedia query language

A differential privacy protection query language for medical data:a proof-of-concept system validation

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Journal of Bio-X Research 2021年第3期4卷 103-113页

作者： Huanhuan Wang Yongting Zhang Hongsheng Yin Ruirui Li Xiang Wu School of Information and Control Engineering China University of Mining and Technology School of Medical Information&Engineering Xuzhou Medical University Xuzhou Hengia Electronic Technology Co. Ltd.XuzhouJiangsu ProvinceChina

Objective: Medical data mining and sharing is an important process in E-Health applications. However, because these data consist of a large amount of personal private information of patients, there is the risk of privacy disclosure when sharing and mining. Therefore, ensuring the security of medical big data in the process of publishing, sharing, and mining has become the focus of current research. The objective of our study is to design a framework based on a differential privacy protection mechanism to ensure the secure sharing of medical data. We developed a privacy protection query language (PQL) that integrates multiple data mining methods and provides a secure sharing ***: This study is mainly performed in Xuzhou Medical University, China and designs three sub-modules: a parsing module, mining module, and noising module. Each module encapsulates different computing methods, such as a composite parser and a noise theory. In the PQL framework, we apply the differential privacy theory to the results of the computing between modules to guarantee the security of various mining algorithms. These computing devices operate independently, but the mining results depend on their cooperation. In addition, PQL is encapsulated in MNSSp3 that is a data mining and security sharing platform and the data comes from public data sets, such as UCBI. The public data set (NCBI database) was used as the experimental data, and the data collection time was January ***: We designed and developed a query language that provides functions for medical data mining, sharing, and privacy preservation. We theoretically proved the performance of the PQL framework. The experimental results show that the PQL framework can ensure the security of each mining result and the availability of the output results is above 97%.Conclusion: Our framework enables medical data providers to securely share health data or treatment data and develops a usable query language, based on a differ

关键词： data sharing and mining differential privacy Laplace mechanism privacy protection query language

Approximating Geographical Queries

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Journal of Computer Science & Technology 2009年第6期24卷 1109-1124页

作者： Arianna D’Ulizia Fernando Ferri Anna Formica Patrizia Grifoni Institute of Research on Population and Social Policies National Research Council Institute for System Analysis and Computer Science National Research CouncilRome Italy

This article proposes a graph-theoretic methodology for query approximation in Geographic Information Systems, enabling the relaxation of three kinds of query constraints： topological, semantic and structural. An approximate query is associated with a value corresponding to the degree of similarity with the original query. Such a value is computed for topological constraints on the basis of the topological distance between configurations, for semantic constraints using the information content approach, and for structural constraints revisiting the maximum weighted matching problem in bipartite graphs. Finally, the high correlation of our proposal with human judgment is demonstrated by an experiment.

关键词： query language spatial database GIS (Geographic Information System) query formulation

GQL:Extending Xquery to query GML Documents

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Geo-Spatial Information Science 2006年第2期9卷 118-126页

作者： GUAN Jihong ZHU Fubao ZHOU Jiaogen NIU Liping School of Computer Wuhan University 129 Luoyu Road Wuhan 430079 China　

GML is becoming the de facto standard for electronic data exchange among the applications of Web and distributed geographic information systems. However, the conventional query languages （e. g. SQL and its extended versions） are not suitable for direct querying and updating of GML documents. Even the effective approaches working well with XML could not guarantee good results when applied to GML documents. Although Xquery is a powerful standard query language for XML, it is not proposed for querying spatial features, which constitute the most important components in GML documents. We propose GQL, a query language specification to support spatial queries over GML documents by extending Xquery. The data model, algebra, and formal semantics as well as various spatial Junctions and operations of GQL are presented in detail.

关键词： XML GML spatial feature query language Xquery

A tetrahedral data model for unstructured data management

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Science China(Information Sciences) 2010年第8期53卷 1497-1510页

作者： LI Wei & LANG Bo State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China 1. State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China

This paper proposes a tetrahedral data model for unstructured data management. The model defines the four components of unstructured data including: basic attributes, semantic characteristics, low-level features and raw data on its four facets, and the relations between these components. The internal implementation structure of the model and the data query language are designed and briefly introduced. This model provides a unified, integrated and associated description for different kinds of unstructured data, and supports intelligent data services such as associated retrieval and data mining. An example is given to demonstrate how to use the model for describing and manipulating data from a sample video base.

关键词： unstructured data data model query language associated retrieval intelligent services

CIMBASE: A Multidatabase Integration Environment

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Tsinghua Science and Technology 1996年第2期1卷 146-152页

作者：王令赤周立柱王国仁郑怀远 Department of Computer Science and Technology Tsinghua Universiry Beijing 100084 Department of Computer Science and Technology Northeast University Shenyang 110080

The integration of heterogeneous multidatabases on a network is one of the key issues to be sofved in thedevelopment of CIMS (computer integrated manufacturing system). As a solution to this issue, a multidatabase integration environment, CIMBASE, has been developed. CIMBASE adopts an object-oriented data model and provides users with a series of software tools: a query language, a pre-compiler, a graphical database schema editor,a graphical query interface and a form based query generation *** paper discusses in detail the major aspectsof CIMBASE: its object-oriented data model, query language interpreter and the design and implementation of itsprc-compiler. The design and algorithms presented in this paper provide a solid foundation for research on multidatabase integration.

关键词： object-oriented database distributed database data model query language pre-compiler CIMS

A Database querying language for Formulating Relational Queries on Small Devices

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Computer Technology and Application 2011年第3期2卷 172-181页

作者： Ahmad Rohiza Abdul-Kareem Sameem Department of Computer and Information Sciences Universiti Teknologi PETRONAS 31750 Tronoh Malaysia Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia

For small devices like the PDAs and mobile phones, formulation of relational database queries is not as simple as using conventional devices such as the personal computers and laptops. Due to the restricted size and resources of these smaller devices, current works mostly limit the queries that can be posed by users by having them predetermined by the developers. This limits the capability of these devices in supporting robust queries. Hence, this paper proposes a universal relation based database querying language which is targeted for small devices. The language allows formulation of relational database queries that uses minimal query terms. The formulation of the language and its structure will be described and usability test results will be presented to support the effectiveness of the language.

关键词： Database query language relational queries small devices.

基于FTMOD模型的移动对象数据库查询语言设计

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基于FTMOD模型的移动对象数据库查询语言设计

第十九届全国数据库学术会议

作者：白芸孟小峰丁锐中国人民大学信息学院

1.引言随着无线通讯和定位技术的快速发展,移动对象数据库应用需求在社会生活中大范围产生,包括交通控制和监控、运输和供应链管理、数字战役以及移动电子商务等。考虑一个表示移动对象位置信息的数据库。例如,对于一个表示出租车的位... 详细信息

1.引言随着无线通讯和定位技术的快速发展,移动对象数据库应用需求在社会生活中大范围产生,包括交通控制和监控、运输和供应链管理、数字战役以及移动电子商务等。考虑一个表示移动对象位置信息的数据库。例如,对于一个表示出租车的位置的数据库,一个典型的查询可能是:搜索当前距离某地不超过1公里的空车;或者,对于一个运输公司的数据库,一个典型的查询可能是:搜索当前距离某卡车不超

关键词： Moving object database Model query language

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数据的遗传信息模型及查询语言

数据的遗传信息模型及查询语言