NDLI: Extracting places from traces of locations

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Extracting places from traces of locations

Content Provider	ACM Digital Library
Author	Stewart, Benjamin Welbourne, William Borriello, Gaetano Kang, Jong Hee
Abstract	Location-aware systems are proliferating on a variety of platforms from laptops to cell phones. Locations are expressed in two principal ways: coordinates and landmarks. However, users are often more interested in "places" rather than locations. A place is a locale that is important to an individual user and carries important semantic meanings such as being a place where one works, lives, plays, meets socially with others, etc. Our devices can make more intelligent decisions on how to behave when they have this higher level information. For example, a cell phone can switch to a silent mode when the user is in a quiet place (e.g., a movie theater, a lecture hall, or a place where one meets socially with others). It would be tedious to define this in terms of coordinates. In this paper, we describe an algorithm for extracting significant places from a trace of coordinates, and evaluate the algorithm with real data collected using Place Lab [14], a coordinate-based location system that uses a database of locations for WiFi hotspots.
Starting Page	110
Ending Page	118
Page Count	9
File Format	PDF
ISBN	1581138776
DOI	10.1145/1024733.1024748
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2004-10-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Location-aware system Wifi hotspots Clustering
Content Type	Text
Resource Type	Article

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