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Dafna Fisher-Gewirtzman
Buildings have been reused throughout history. The current discourse of diverse trends in preservation together with awareness for sustainable environments has led to a surge in adaptive reuse projects. The combination of new and old architecture ensures the retaining of authentic character while providing an appropriate new use and revitalizing the structure. Learning from precedents is one of the most important knowledge bases for architects. It has many layers of knowledge referring to the old building and its original use, the transformed building and its new use, and the transformation itself. The objective of this work is to propose a theoretical and practical background for a systematic process to support adaptive reuse architecture precedent E-learning. A procedure for the analysis has been developed to fit the specific nature of this architecture data. This paper is presenting the analysis principles and demonstrates the system as a powerful infrastructure for E-learning.