PUblicationMAnagement  PumaLogo 
TitleSemantics for the Wiki - First Iteration

Author Thönssen B., Zhang C., Emmenegger S., Hinkelmann K., Witschel F., Laurenzi E., Woitsch R.

Abstract
(English)
Deliverable D5.2 focuses on Ontology Supported Learning. We analysed and partially enhanced already defined requirements and derived additional ones from field research. Recommendations should comprise (contact information of) experts who can mentor a learner, wiki articles that correspond one-to-one to model elements (regarded as learning objects related to these model elements) and, learning material like textbooks but also audio and video documents. Recommendations of experts, learning objects and learning material are provided in a context-sensitive and personalized manner. This is possible as the Learn PAd ontology not only represents characteristics of the wiki content (and hence, the models), but also profiles of the learners, containing their competencies and learning preferences. In addition - at run-time - process execution data and application data are analysed for recommendations. Recommendations can be made in all of three modes of learning supported by the Learn PAd system, i.e. browsing, simulation and execution. The more is known about the context of a learner the more sophisticated the recommendations. For the research reported in D5.2 we adopted the design science research methodology for information systems complemented by the posing competency questions for ontology engineering and evaluation. For the research reported in D5.2 we adopted the design science research methodology for information systems complemented by posing competency questions for ontology engineering and evaluation. In order to elicit realistic requirements and to make sure that the solution can be applied in practice, we created an application scenario together with Marche Region that reflects a learner's real working environment and illustrates role and output of the recommendation system. The main artefact reported on in this deliverable is the recommender system specification. We assessed the first iteration of the recommender system by comparing the specified behaviour with the requirements. In addition, recommendations provided for learning within the browsing and simulation mode are evaluated within D8.2. Based on the specification the recommendation system is currently being developed. D5.2 provides the technical specification for it.

Subject Metamodel
BPMN
BMM
CMMN
Ontology
Ontology Supported Learning
ArchiMEO
Informal and Formal Competency Question
RDFS
Collaborative Content Management
Collaborative Workspace
Browsing Mode
Simulation Mode
Execution Mode
Context
Retrofitting
Recommender Panel
Recommender System
SPARQL
SPIN rules


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