K-grid: A Structure for Storage and Retrieval of Affective Knowledge

We present the K-grid, a structure for storage and retrieval of affective knowledge. The K-grid is an ubiquitous-affective computing structure that can be used to capture and disseminate affectively laden knowledge, based on activities and past experiences. The knowledge is recorded in special substructures (Knodes) which are initially linked sequentially, based on the chronological order of their creation, to form Klines. Then, an interpolation process is used to fill in missing parts of the K-nodes. Subsequently, a clustering mechanism is used to amalgamate the formed K-lines into a final structure, the K-grid. A navigation mechanism is also proposed, for extraction of information from the K-grid, once the K-grid is formed.

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