Management of Web Data Models Based on Graph Transformation

  • Authors:
  • Guanglei Song;Kang Zhang;Raymond K. Wong;Jun Kong

  • Affiliations:
  • University of Texas at Dallas;University of Texas at Dallas;University of New South Wales;University of Texas at Dallas

  • Venue:
  • WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
  • Year:
  • 2004

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Abstract

Based on the Reserved Graph Grammar (RGG), this paper presents a unified framework to manage model-based information on the Web in a hierarchical structure. The framework allows models, schemas, and data instances to be represented explicitly and uniformly. The uniform representation of the framework also enables simple user-defined graph transformation rules for different Web data models to translate schemas and data instances between different formats. In addition, the framework implements a set of prototype tools for users to identify meta-primitives at the meta-model level, to define a model or schema by specifying a set of graph grammar rules and to draw the structure of data instances. These features promote a wide scope of Web-related applications, such as information exchange between different organizations, and integration of data coming from heterogeneous information sources.