Bidirectional Synchronization between Project Zoom and the Inference Engine (bibtex)
by
Abstract:
At the HPI School of Design Thinking students of diverse backgrounds are confronted with keeping record of their projects. Many digital documentation tools capture only a fraction of the possible metadata, behave like a traditional file storage that compares to a data sink or have no specific understanding of the details of the Design Thinking process involved. In order to overcome these shortcomings, a web application called Project Zoom has been created specifically tailored to Design Thinking with tightened process integration. On a virtual whiteboard uploaded documents can be spatially arranged, grouped and tagged. In order to make sense of the collected data, Axel Kroschk analyzed the Design Thinking process and developed a rule-based approach to recover the design rationale of Design Thinking projects. These rules are interpreted by the Inference Engine developed by M.Sc. Thomas Beyhl which leverages the possibilities of a common mega model in order to treat a variety of rule-based systems the same way. Both systems have to be interconnected in order to make the inferred knowledge visible to Project Zoom\textquoterights users. In this bachelor\textquoterights thesis, I present a synchronization approach. In order to make efficient ruleset evaluation possible, the communication channel supports listening for and processing incremental changes. Since both systems use different data models, data provided by Project Zoom has to be converted to the data model of the Inference Engine. Evaluated properties include preciseness and completeness of the conversion as well as the overall performance of the approach.
Reference:
Bidirectional Synchronization between Project Zoom and the Inference Engine (Falco Dürsch), Bachelor's thesis, , 2014.
Bibtex Entry:
@BachelorsThesis{Dursch:2014tv,
AUTHOR = {Dürsch, Falco},
TITLE = {{Bidirectional Synchronization between Project Zoom and the Inference Engine}},
YEAR = {2014},
ADDRESS = {Potsdam},
ABSTRACT = {At the HPI School of Design Thinking students of diverse backgrounds are confronted with keeping record of their projects. Many digital documentation tools capture only a fraction of the possible metadata, behave like a traditional file storage that compares to a data sink or have no specific understanding of the details of the Design Thinking process involved. In order to overcome these shortcomings, a web application called Project Zoom has been created specifically tailored to Design Thinking with tightened process integration. On a virtual whiteboard uploaded documents can be spatially arranged, grouped and tagged. In order to make sense of the collected data, Axel Kroschk analyzed the Design Thinking process and developed a rule-based approach to recover the design rationale of Design Thinking projects. These rules are interpreted by the Inference Engine developed by M.Sc. Thomas Beyhl which leverages the possibilities of a common mega model in order to treat a variety of rule-based systems the same way. Both systems have to be interconnected in order to make the inferred knowledge visible to Project Zoom\textquoterights users. In this bachelor\textquoterights thesis, I present a synchronization approach. In order to make efficient ruleset evaluation possible, the communication channel supports listening for and processing incremental changes. Since both systems use different data models, data provided by Project Zoom has to be converted to the data model of the Inference Engine. Evaluated properties include preciseness and completeness of the conversion as well as the overall performance of the approach.},
ANNOTE = {LANGUAGE : English}
}
Powered by bibtexbrowser