Harvesting Models from Web 2.0 Databases

Data rather than functionality are the sources of competitive advantage for Web2.0 applications such as wikis, blogs and social networking websites. This valuable information might need to be capitalized by third-party applications or be subject to migration or data analysis. Model-Driven Engineering (MDE) can be used for these purposes. However, MDE first requires obtaining models from the wiki/blog/website database (a.k.a. model harvesting). This can be achieved through SQL scripts embedded in a program. However, this approach leads to laborious code that exposes the iterations and table joins that serve to build the model. By contrast, a Domain-Specific Language (DSL) can hide these “how” concerns, leaving the designer to focus on the “what”, i.e. the mapping of database schemas to model classes. This paper introduces Schemol, a DSL tailored for extracting models out of databases which considers Web2.0 specifics. Web2.0 applications are often built on top of general frameworks (a.k.a. engines) that set the database schema (e.g., MediaWiki, Blojsom). Hence, table names offer little help in automating the extraction process. In addition,Web2.0 data tend to be annotated. User-provided

  • SoSym, Software and Systems Modeling

  • January, 2011
  • Springer

  • DOI: 10.1007/s10270-011-0194-z

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ONEKIN, UNIVERSITY OF THE BASQUE COUNTRY

University of the basque country