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2DCMA： An Effective Maintenance Algorithm of Materialized Views in Peer Data Management Systems

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Journal of Computer Science & Technology 2006年第4期21卷 503-512页

作者：覃飙王珊杜小勇 School of Information Renmin University of China Beijing 100872 P.R. China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Beijing 100872 P.R. China

Update management is very important for data integration systems. So update management in peer data management systems （PDMSs） is a hot research area. This paper researches on view maintenance in PDMSs. First, the definition of view is extended and the peer view, local view and global view are proposed according to the requirements of applications. There are two main factors to influence materialized views in PDMSs. One is that schema mappings between peers are changed, and the other is that peers update their data. Based on the requirements, this paper proposes an algorithm called 2DCMA, which includes two sub-algorithms： data and definition consistency maintenance algorithm% to effectively maintain views. For data consistency maintenance, Mork＇s rules are extended for governing the use of updategrams and boosters. The new rule system can be used to optimize the execution plan. And are extended for the data consistency maintenance algorithm is based on the new rule system. Furthermore, an ECA rule is adopted for definition consistency maintenance. Finally, extensive simulation experiments are conducted in SPDMS. The simulation results show that the 2DCMA algorithm has better performance than that of Mork＇s when maintaining data consistency. And the 2DCMA algorithm has better performance than that of centralized view maintenance algorithm when maintaining definition consistency.

关键词： view maintenance peer data management system schema mapping ECA rule

Ontology Based Resolution of Semantic Conflicts in Information Integration

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维普期刊数据库

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Wuhan University Journal of Natural Sciences 2004年第5期9卷 606-610页

作者： LUHan LIQing-zhong SchoolofComputerScienceandTechnology ShandongUniversityJinan250100Shandong.China

Semantic conflict is the conflict caused by using different ways in heterogeneous systems to express the same entity in reality. This prevents information integration from accomplishing semantic coherence. Since ontology helps to solve semantic problems, this area has become a hot topic in information integration. In this paper, we introduce semantic conflict into information integration of heterogeneous applications. We discuss the origins and categories of the conflict, and present an ontology-based schema mapping approach to eliminate semantic conflicts. Key words ontology - CCSOL - semantic conflict - schema mapping CLC number TP 301 Biography: LU Han (1980-), male, Master candidate, research direction: ontology and information integration.

关键词： ontology CCSOL semantic conflict schema mapping

Integrating XML with CORBA-Based Multidatabase Systems

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Wuhan University Journal of Natural Sciences 2004年第5期9卷 676-680页

作者： LIRui-xuan LUZheng-ding WUWei XIAOWei-jun CollegeofComputerScienceandTechnology HuazhongUniversityofScienceandTechnology.Wuhan430074Hubei.China

In this paper, we first introduce the architecture for a CORBA-based multidatabase system and then give an approach of schema mapping between XML and relational database system. Finally, we investigate the ability to apply the integration of XML with CORBA-based multidatabase systems. This integration extends the ability of a CORBA-based multidatabase system to implement data sharing and interoperability. Key words heterogeneity - XML - schema mapping - multidatabase systems CLC number TP311. 13 Foundation item: Supported by the National Key Technologies R&D Program of China(2002BA103A04)Biography: LI Rui-xuan(1974-), male, Ph. D candidate, research interests: heterogeneous information integration.

关键词： heterogeneity XML schema mapping multidatabase systems

Integrating XML with CORBA-Based Multidatabase Systems

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Integrating XML with CORBA-Based Multidatabase Systems

Ontology Based Resolution of Semantic Conflicts in Information Integration

The First Conference on Web Information System and Applications

作者： LI Rui-xuan LU Zheng-ding WU Wei XIAO Wei-junCollege of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 Hubei China

＜正＞ In this paper, we first introduce the architecture for a CORBA-based multidatabase system and then give an approach of schema mapping between XML and relational database system. Finally, we investigate the ability to apply the integration of XML with CORBA-based multidatabase systems. This integration extends the ability of a CORBA-based multidatabase system to implement data sharing and interoperability.

关键词： heterogencity XML schema mapping multidatabase systems

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Ontology Based Resolution of Semantic Conflicts in Informati...

Lossless mapping from Semi-Structured Data to Structured Data

The First Conference on Web Information System and Applications

作者： LU Han LI Qing-zhongSchool of Computer Science and Technology Shandong University Jinan 250100 Shandong China

＜正＞ Semantic conflict is the conflict caused by using different ways in heterogeneous systems to express the same entity in reality. This prevents information integration from accomplishing semantie coherence. Since ontology helps to solve semantic problems, this area has become a hot topic in infonnation integration. In this paper, we introduce semantic conflict into information integration of heterogeneous applications. We discuss the origins and categories of the conflict, and present an ontology-based schema mapping approach to e-liminate semantic conflicts.

关键词： ontology: CCSOL semantic conflict schema mapping

来源： cnki会议 cnki会议评论

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Journal of Southeast University(English Edition) 2002年第1期18卷 46-53页

作者：李文武金远平童咪娜东南大学计算机科学与工程系南京210096

Most semi-structured data are of certain structure regularity. Having beenstored as structured data in relational database (RDB), they can be effectively managed by databasemanagement system (DBMS). Some semi-structured data are difficult to transform due to theirirregular structures. We design an efficient algorithm and data structure for ensuring losslesstransformation. We bring forward an approach of schema extraction through data mining, in whichdifferent kinds of elements are transformed respectively and lossless mapping from semi-structureddata to structured data can be achieved.

关键词： semi-structured data DTD RDB schema mapping overflow data