WWW/Internet - Portal do Software Público Brasileiro

ISBN: 978-972-8939-25-0 © 2010 IADIS4. SOME APPLICATION SCENARIOS FOR SEED WIKIScenarios involving teachers exchanging knowledge regarding sustainable energy issues over the Wiki,include the supporting and guiding of users to contribute content, and other material as learning models orgeneric learning designs and patterns, enriched with semantic annotations. A predefined form is the key forsupporting such a task, in terms of a content annotating tool.Hence, a community of teachers interested in sustainable energy issues could upload or reference suchmaterial from the semantic Wiki, relating it to other concepts within the Wiki. Afterwards such resourcescould be retrieved and accessed via form based query functionality.Also in the overall case, where users follow the steps of a suggested learning design process (e.g. Browseand select theme, Extract a DPSIR model, Select and adapt templates, Identify objectives, Arrange activities,Specify resources and assessment, Represent learning design), the ontology browser and semantic drilldownallow selection by use of a tree or list browsing correspondingly, while inline queries could be used topresent/highlight a categorization of pages in a way that helps decision making by the user.The inline queries are based on the parser function #ask and can be created by few editors providingdynamically query results which can inform users without requiring from them to learn the query syntax. Thusregarding the selection of templates corresponding to abstract representations of learning designs (i.e. learningmodels or generic learning designs and patterns) these could be presented dynamically in the relevant page,categorized by the purpose/challenge they address.As far as the extraction of causal chains based in the DPSIR model is concerned, effort has beenundertaken for visual representation of pages relations, as valuable information attached to any page andincreasing the user friendliness of the application. The parser function #Hypergraph is used to representrelationships specified in the wiki as a network graph, while inline queries further specify these relationships.An example concerning the page AirPollutionEmissionGr04 is depicted in Fig. 2.Figure 2. Visual representation and the results of inline queries included in the page AirPollutantEmissionGr045. CONCLUSIONWe introduced a tool, named SEEDwiki and resulting from the integration of a ontology-based frameworkfor authoring learning designs in the field of sustainable energy education with a Semantic MediaWikiplatform. Via this integration we aim to facilitate the acquisition and representation of knowledge about348