2011
DOI: 10.1007/s10270-011-0194-z
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Harvesting models from web 2.0 databases

Abstract: International audienceData 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 embed… Show more

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Cited by 19 publications
(11 citation statements)
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“…Public clouds are a common target platform for these systems, as investigated in the ARTIST [9] project and CloudMIG [6]. However, this existing work gives minimal consideration to data (and the database layer) despite this being the most valuable and irreplaceable part of many systems [5]. Extensive work has been done on database modelling [2] [12] and reverse engineering [16] [4], although this is disconnected from the work on software modernisation and does not focus on the cloud.…”
Section: Introductionmentioning
confidence: 99%
“…Public clouds are a common target platform for these systems, as investigated in the ARTIST [9] project and CloudMIG [6]. However, this existing work gives minimal consideration to data (and the database layer) despite this being the most valuable and irreplaceable part of many systems [5]. Extensive work has been done on database modelling [2] [12] and reverse engineering [16] [4], although this is disconnected from the work on software modernisation and does not focus on the cloud.…”
Section: Introductionmentioning
confidence: 99%
“…A rule-based transformation language (Schemol) intended to extract models from web 2.0 databases is proposed by Díaz et al in [10]. The model analysis is performed directly on the database content and schemas, assuming a relational data model, instead of relying on the source code of the applications that use these web 2.0 databases (such as wikis, blogs and social networks).…”
Section: Related Workmentioning
confidence: 99%
“…For this purpose, we used Schemol(Díaz et al 2013), a model injector for databases.• The exporter component, which uploads the FreeMind map to the MediaWiki database. This process is threefold.…”
mentioning
confidence: 99%