Platys: From Position to Place-Oriented Mobile Computing

Zavala, Laura (Medgar Evers College, City University of New York) | Murukannaiah, Pradeep K. (North Carolina State University) | Poosamani, Nithyananthan (North Carolina State University.) | Finin, Tim (University of Maryland, Baltimore County) | Joshi, Anupam (University of Maryland, Baltimore County) | Rhee, Injong (North Carolina State University, Raleigh) | Singh, Munindar P. (North Carolina State University)

AI Magazine 

However, what often matters for experience is the user's place A semantic model of user-centered places, the Platys ontology enables the mapping Research in context-aware computing (Schilit, Adams, of positions to places. In the model, places and and Want 1994) aims to enable computing systems that activities can be represented at different levels of acquire and maintain context data and use it to adapt granularity using subsumption hierarchies. It originated with Weiser's vision of to determine a user's place at any given time. Place ubiquitous computing (Weiser 1999) where human recognition has been addressed with standard activities are enhanced with devices that are all around machine-learning classifiers as well as a semisupervised but unnoticeable to the user and that provide services expectation-maximization algorithm. The that adapt to the circumstances in which they are used. Location is an 1994; Schilit et al. 1993) are early works in contextaware essential part of place and therefore place recognition computing and dealt with tracking a user's location relies on location sensing. Since frequent location and using it to provide better services or sharing it sensing by a mobile device depletes power, we have with others.

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