Detecting data and schema changes in scientific documents

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Data stored in a data warehouse must be kept consistent and up-to-date with the underlying information sources. By providing the capability to identify, categorize and detect changes in these sources, only the modified data needs to be transferred and entered into the warehouse. Another alternative, periodically reloading from scratch, is obviously inefficient. When the schema of an information source changes, all components that interact with, or make use of, data originating from that source must be updated to conform to the new schema. In this paper, the authors present an approach to detecting data and schema changes in scientific documents. ... continued below

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1.3 Megabytes pages

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Adiwijaya, I; Critchlow, T & Musick, R June 8, 1999.

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Data stored in a data warehouse must be kept consistent and up-to-date with the underlying information sources. By providing the capability to identify, categorize and detect changes in these sources, only the modified data needs to be transferred and entered into the warehouse. Another alternative, periodically reloading from scratch, is obviously inefficient. When the schema of an information source changes, all components that interact with, or make use of, data originating from that source must be updated to conform to the new schema. In this paper, the authors present an approach to detecting data and schema changes in scientific documents. Scientific data is of particular interest because it is normally stored as semi-structured documents, and it incurs frequent schema updates. They address the change detection problem by detecting data and schema changes between two versions of the same semi-structured document. This paper presents a graph representation of semi-structured documents and their schema before describing their approach to detecting changes while parsing the document. It also discusses how analysis of a collection of schema changes obtained from comparing several individual can be used to detect complex schema changes.

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1.3 Megabytes pages

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  • 16th International Conference on Data Engineering, San Diego, CA (US), 02/28/2000--03/03/2000

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  • Report No.: UCRL-JC-134444
  • Report No.: YN0100000
  • Report No.: 97-ERD-033
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 756946
  • Archival Resource Key: ark:/67531/metadc707474

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • June 8, 1999

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  • Sept. 12, 2015, 6:31 a.m.

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  • May 6, 2016, 1:12 p.m.

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Adiwijaya, I; Critchlow, T & Musick, R. Detecting data and schema changes in scientific documents, article, June 8, 1999; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc707474/: accessed October 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.