Reason Locations as Semantic Places Rather than Coordinates

Personal Location Agent for Communicating Entities (PLACE), developped in 2003 at the MIT Artificial Intelligence Laboraroty, is an infrastructure that incorporates multiple location technologies for the purpose of establishing user location with better coverage, at varying granularities, and with better accuracy. The paper provide insight into an approach toward bulind an infrastructure with location-sharing in mind from its conception. They promote a mixed used of location systems. Each location system enerally has both unique feature and limitations in term of technology, accuracy, scalibility, and cost. In the past there have been attempt to create common spaltion location data sets condisting in geodetic latitude, longitude and altitude, accuracy and time of measurement, speed, direction, course, and orientation. PLACE’s approach is to reason about locations as semantic places rather than coordinates. The problem is that there can be many different representations for the same location and having syntatically identical representations for different locations. There is also the problem of relational information. Notions like “near” show the contextual complexity we face.