Capturing both Types and Constraints in Data Integration

Michael Benedikt, Chee Yong Chan, Wenfei Fan, Juliana Freire, Rajeev Rastogi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We propose a framework for integrating data from multiple relational sources into an XML document that both conforms to a given DTD and satisfies predefined XML constraints. The framework is based on a specification language, AIG, that extends a DTD by (1) associating element types with semantic attributes (inherited and synthesized, inspired by the corresponding notions from Attribute Grammars), (2) computing these attributes via parameterized SQL queries over multiple data sources, and (3) incorporating XML keys and inclusion constraints. The novelty of AIG consists in semantic attributes and their dependency relations for controlling context-dependent, DTD-directed construction of XML documents, as well as for checking XML constraints in parallel with document-generation. We also present cost-based optimization techniques for efficiently evaluating AIGs, including algorithms for merging queries and for scheduling queries on multiple data sources. This provides a new grammar-based approach for data integration under both syntactic and semantic constraints.

Original languageEnglish (US)
Title of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data
EditorsA.Y. Halevy, Z.G. Ives, A.H. Doan
Number of pages12
StatePublished - 2003
Event2003 ACM SIGMOD International Conference on Management of Data - San Diego, CA, United States
Duration: Jun 9 2003Jun 12 2003


Other2003 ACM SIGMOD International Conference on Management of Data
Country/TerritoryUnited States
CitySan Diego, CA

ASJC Scopus subject areas

  • General Computer Science


Dive into the research topics of 'Capturing both Types and Constraints in Data Integration'. Together they form a unique fingerprint.

Cite this