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A DSL for Corporate Wiki Initialization: Demo Tool

  • Óscar Díaz [1] ; Gorka Puente [1]
    1. [1] Universidad del País Vasco/Euskal Herriko Unibertsitatea

      Universidad del País Vasco/Euskal Herriko Unibertsitatea

      Leioa, España

  • Localización: Actas de las Jornadas de Ingeniería del Software y Bases de Datos (JISBD´11), 2011, ISBN 978-84-9749-486-1, págs. 241-244
  • Idioma: inglés
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  • Resumen
    • Our premise is that, unlike other environments, corporations have all, personal organigrams, documentation practices and task schedules that frame both wiki users and wiki editing. The term "wiki scaffolding" is introduced to denote a wiki installation where some categories, templates, permissions, etc are initialized at the outset to mimic the corporate background. This includes structural concerns, communication means, permission needs, etc. So far, this background is patiently replicated by wiki users. Wiki scaffolding implies not only being knowledgeable about the wiki engine but also installing third-party extensions. This can certainly discourage users. Lawyer, architects, medical doctors are all profiting from wikis. Hence, our aim is for wiki scaffolding to be made accessible to non technical people (who) that collaboratively agree (how) on a blueprint for the wiki (what). Thus, we propose the use of a Domain Speciffoldic Language (DSL). Additionally, collaboration and easy sharing can be promoted by using a graphical DSL. Specifcally, the collaborative mandate suggests capitalizing on existing tools for supporting brainstorming. A common way of recording and expressing brainstorming sessions are mind maps. Now, this central topic is "wiki scaffolding", and mindmaps constructs are reinterpreted to denote scaffolding concerns. This demo tool paper presents the Wiki Scaffolding Language (WSL) (pronounced "whistle"). WSL is built on top of FreeMind, a popular, open source tool to create mindmaps. Hence, WSL expressions are mindmaps. Our bet is that users might already been exposed to mindmaps and even to FreeMind, hence reducing the learning curve for WSL. These maps (i.e., WSL expressions) are then compiled into a set of MediaWiki directives whose execution generates the wiki scaffold.


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