论文信息 - Schema Management

Schema Management

We present a modular breakdown of data integration tasks and the results of a survey on the distribution of effort among those tasks. The modularization aids in project planning and enables portions of the work to be allocated flexibly among various human specialists, and also to automated tools. The survey results are useful for determining: (1) what are the highest value research problems to tackle? (2) where should large enterprises focus their investments in data integration tools?, and (3) how should a data integration project manager allocate people and schedule?

[1] Felix Naumann,et al. Attribute classification using feature analysis , 2002, Proceedings 18th International Conference on Data Engineering.

[2] Laura M. Haas,et al. Schema Mapping as Query Discovery , 2000, VLDB.

[3] Theodore Johnson,et al. Mining database structure; or, how to build a data quality browser , 2002, SIGMOD '02.

[4] Laura M. Haas,et al. The Clio project: managing heterogeneity , 2001, SGMD.

[5] Dennis McLeod,et al. A federated architecture for information management , 1985, TOIS.

[6] Diego Calvanese,et al. Data Integration in Data Warehousing (Keynote Address) , 2001, CAiSE Workshops.

[7] Felix Naumann,et al. Mapping XML and relational schemas with Clio , 2002, Proceedings 18th International Conference on Data Engineering.

[8] Ali R. Hurson,et al. Automated resolution of semantic heterogeneity in multidatabases , 1994, TODS.

[9] Todd D. Millstein,et al. Navigational Plans For Data Integration , 1999, AAAI/IAAI.

[10] Ronald Fagin,et al. Translating Web Data , 2002, VLDB.

[11] William W. Cohen. Data integration using similarity joins and a word-based information representation language , 2000, TOIS.