THE CATEGORISATION OF DATA FROM SMART BUILDINGS FOR A POSITIVE SUSTAINABLE APPLICATION Information Retrieval in Smart Environments-or How to Make a Google in the House
This paper describes an architecture oriented approach of a categorization of information in so- called computer integrated buildings (CIB). It follows an approach which seeks for the suitability of information categorization in order to achieve an energetically sustainable operation of CIBs. The CIB and its environment may exist as physical objects or as a simulation. The underlying question of this paper is: how can data of high temporal and spatial density be made accessible within a CIB with the goal of quickly delivering the most suitable answers for a specifical application. The subtitle Google in the House was chosen due to the achievable relation of a model with simple user interfaces, extendable pre- valuable data basis and high quality answers is being developed. The models foundation is the potential of any built context that it is very easy to position data in physical space by adding its position by Cartesian coordinates. This architectural way of pre- sorting data is defined as logical arranging. Further on, known mechanisms of information retrieving and mapping are added to the model A preliminarily summary concludes that energetically sustainable operations are backed through means of computational categorization models.
Odilo Schoch
Schoch Architectural Services Ltd., 8004 Zurich, Switzerland
国际会议
南京
英文
295-303
2007-04-19（万方平台首次上网日期，不代表论文的发表时间）