Change Detection in Hierarchically Structured Information

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Change Detection in Hierarchically Structured Information (1996)

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by Sudarshan S. Chawathe , Hector Garcia-molina , Jennifer Widom

Venue:	In Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data
Citations:	183 - 11 self

BibTeX

@INPROCEEDINGS{Chawathe96changedetection,
    author = {Sudarshan S. Chawathe and Hector Garcia-molina and Jennifer Widom},
    title = {Change Detection in Hierarchically Structured Information},
    booktitle = {In Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data},
    year = {1996},
    pages = {493--504},
    publisher = {ACM}
}

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Abstract

{chaw,anand,hector, widom}%s.stanford. edu Detecting and representing changes to data is important for active databases, data warehousing, view maintenance, and version and configuration management. Most previous work in change management has dealt with flat-file and relational data; we focus on hierarchically structured data. Since in many cases changes must be computed from old and new versions of the data, we define the hierarchical change detection problem as the problem of finding a “minimum-cost edit script ” that transforms one data tree to another, and we present efficient algorithms for computing such an edit script. Our algorithms make use of some key domain characteristics to acKleve substantially better performance than previous, general-purpose algorithms. We study the performance of our algorithms both analytically and empirically, and we describe the application of our techniques to hierarchically structured documents. 1

Keyphrases

hierarchically structured information change detection change management general-purpose algorithm previous work configuration management new version many case change view maintenance structured document data warehousing relational data edit script efficient algorithm hierarchical change detection problem data tree key domain characteristic active database minimum-cost edit script

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