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1、数据库技术发展的思考,引言,Broadening the Database Field for VLDB2000 core database technology information systems infrastructures reporting on methods, issues, and problems faced during the design, development, and deployment of innovative solutions for information management,对数据库技术发展的思考(1),数据库技术从诞生到现在,不到半个世纪的时

2、间里,形成了坚实的理论基础、成熟的商业产品和广泛的应用领域,吸引越来越多的研究者加入 关系模型 实用的事务处理技术 成熟的产品,对数据库技术发展的思考(2),在成熟的关系DBMS之后,数据库的研究“泛数据”研究的趋势 DBMS已经研究的没有问题了? 新的处理要求在那里? “泛数据”研究 X-data: XML data, streaming data, X-computing: grid data, sensor data, p2p data, ubiquitous/pervasive data, ,对数据库技术发展的思考(3),过去数据库的研究之所以成功,是因为其研究一直是“问题找人”式的研

3、究,其特点在于: 问题明确具体 技术简单实用 E F Codd提出关系模型 Jim Gray提出的事务处理技术 而且是关键的通用技术 所形成的产品均是通用产品,对数据库技术发展的思考(4),反观现在数据库的研究之所以不甚成功,可能在于目前数据库的研究是“人找问题”式的研究,其特点在于: “泛数据”研究的需求不甚明确 技术复杂 而且是特定数据处理的技术 难以形成通用产品,对数据库技术发展的思考(5),问题找人,成果斐然,人找问题,成果不明显,问题找人,问题在那里?,对数据库技术发展的思考(5),数据库技术的发展错失了Web带来的机遇 如何处理web上众多的数据源-高效数据管理 如何构建web上的

4、应用-高效的应用开发 如何快速完成查询高效的查询处理 Is Google the answer?,对数据库技术发展的思考(6),泛数据研究的本质问题 The Revolution in Database ArchitectureJim Gray Databases are Web Services Publish-Subscribe System Self Managing and Always Up,Data on the Web,Different formats: relational, metadata, documents, text A Web standard for data

5、exchange, XML, is fixing it XML captures all kinds of information over a wide spectrum XML comes with a family of emerging standards: XML schema, XSL/T, Xquery, domain specific schemas Different computers, platforms, languages, applications A standard for Web services, SOAP, is fixing it SOAP allows

6、 ubiquitous computing on the Internet SOAP comes with a family of emerging standards: WSDL, UDDI This provides a uniform access to information the dream for distributed data management,Thank you.,未来数据库的研究(6),core database technology Self Adaptation/System Tuning New User Interfaces One-Hundred-Year

7、Storage information systems infrastructures Web Information Integration Integration of Text, Data, Code, and Streams,基于Web Service的Web信息集成系统(W-DBMS),基于Web Services构建Web数据集成系统是目前较为理想的方法。 WDBMS系统的初步目标是实现一个架构于Web Service技术之上的Web数据集成系统。在Web应用开发中,它能起到传统DBMS的作用,即提高应用开发效率和提供数据独立性。 在这个系统中,用户需要提供数据源信息以用于确定数据

8、源和查找或者生成所需要的wrapper,集成计划,信息发送计划。 系统通过符合用户需求的wrapper或者service得到包含用户目标数据的一系列XML文档。然后集成引擎通过查询这些XML文档得到最终所需要的结果。,参考文献,1 S. Abiteboul, P. Buneman, and D. Suciu. Data on the Web-From Relations to Semi-Structured Data and XML, Morgan Kauffmann Publishers, 2000. 2 A.Y. Levy, A. Rajaraman, and J. J. Ordille.

9、 Querying Heterogeneous Information Sources Using Source Descriptions, In Proc. of the Very Large Data Bases (VLDB), pages 251-262 Bombay, India, September 1996. 3 R. Bayardo, W. Bohrer, R. Brice, et al. InfoSleuth: Agent-Based Semantic Integration of Information in Open and Dynamic Environments. In

10、 Proc. of ACM SIGMOD International Conference Management of Data, pages 195-206, Tucson, USA, May 1997. 4 S. Bressan, C. Goh, K. Fynn, et al. The Context Interchange Mediator Prototype. In the ACM SIGMOD/PODS Joint Conference, pages 525-527,Tucson, USA, May 1997. 5 V. Christophides, S. Cluet, J. Sim

11、on. On Wrapping Query Languages and Efficient XML Integration. In Proc. of ACM SIGMOD Conference on Management of Data, pages 141-152, Dallas, USA, May 2000. 6 S. Cluet, C. Delobel, J. Simon, and K. Smaga. Your Mediators Need Data Conversion! In Proc. of ACM SIGMOD Conference on Management of Data,

12、pages 177-188, Seattle, USA, June 1998. 7 D. Chamberlin J.Robie D.Florescu. Quilt: An XML Language for Heterogeneous Data Sources. In International Workshop on the Web and Databases (WebDB), Dallas, USA, May 2000. 8 H. Garcia-Molina, Y. Papakonstantinou, et al. The TSIMMIS Approach to Mediation: Dat

13、a Models and Languages, In Journal of Intelligent Information Systems, 8(2): 117-132, 1997. 9 D. Florescu, A. Levy, and A. Mendelzon. Database Techniques for the World Wide Web: A Survey. ACM SIGMOD Record, 27(3): 59-74, September 1998. 10 I. Muslea, Extraction patterns for information extraction ta

14、sks: A survey. In Proc. of the AAAI Workshop on Machine Learning for Information Extraction, pages 1-6, Orlando, USA, July 1999. 11 B. Chidlovskii. Automatic repairing of Web Wrappers. In 3rd International Workshop on Web Information and Data Management, pages 24-30, Atlanta, USA, November 2001. 12

15、R. Baumgartner, S. Flesca, G. Gottlob. Visual Web information extraction with Lixto. In Proc. of the Very Large Data Bases (VLDB), pages 119-128, Roma, Italy, September 2001 13 A. Sahuguet and F. Azavant. Building Light-Weight Wrappers for Legacy Web Data-Sources Using W4F. In Proc. of the Very Larg

16、e Data Bases (VLDB), pages 738-741, 1999. 14 J. Hammer, M. Brenning, H. Garcia-Molina, et al. Template-based wrappers in the TSIMMIS system. In Proc. of ACM SIGMOD Conference, pages 532-535, Tucson, USA, May 1997. 15 I. Muslea, S. Minton, and C. A. Knoblock. STALKER: Learning extraction rules for se

17、mistructured Web-based information sources. In Proc. of AAAI Workshop on AI and Information Integration, pages 74-81, Madison, USA, July 1998. 16 C.-N. Hsu and M.-T. Dung. Generating finite-state transducers for semi-structured data extraction from the Web. Information Systems,23(8): 521-538, 1998.

18、17 N. Kushmerick, D. Weil, and R. Doorenbos. Wrapper induction for information extraction. In Proc. of International Joint Conference on Artificial Intelligence (IJCAI), pages 729-735, Nagoya, Japan, August 1997. 18 L. Liu, C. Pu, W. Han. XWRAP: An XML-enabled Wrapper Construction System for Web Inf

19、ormation Sources. In Proc. of International Conference on Data Engineering (ICDE), pages 611-621, San Diego, USA, February 2000. 19 X. F. Meng, H. J. Lu, H. Y. Wang, M. Z. Gu. SG-WRAP: A Schema-Guided Wrapper Generator. In Proc. of International Conference on Data Engineering (ICDE), pages 331-332,

20、San Jose, USA, February 2002. 20 X. F. Meng, H. J. Lu, H. Y. Wang, M. Z. Gu. Schema-Guided Data Extraction from the Web. Journal of Computer Science and Technology(JCST), 17(4), 2002. 21 X F Meng, H Y Wang, D D Hu, M Z Gu, SG-WRAM Schema Guided Wrapper Maintenance: A Demonstration, Proceedings of IC

21、DE2003, Mar 5-8, 2003, Bangalore, India. 22 N. Kushmerick. Wrapper verification. World Wide Web Journal, 2000, 3(2): 79-94. 23 N. Kushmerick. Regression testing for wrapper maintenance. In Proceedings of AAAI 1999, page 74-79, 1999。 24 C A Knoblock, K Lerman, S Minton, I Muslea. Accurately and Relia

22、bly Extracting Data from the Web: A Machine Learning Approach. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2000, 23(4): 33-41.,未来数据库的研究,Senior database researcher Meeting Senior database researchers have gathered every few years to assess the state of database research and to recommend problems and problem areas deserve additional focus. Laguna Beach, Calif. in 1989 1 Palo Alto, Calif. (“Lagunita”) in 1990 2 and 1995 3 Cambrid

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