Conceptual Enrichment of Locations Pointed Out by the User

The growing availability of GPS and localization technologies opens up new challenges regarding the use of position information for Location Based Services. As a side effect, several research questions arise, one of which we consider in this paper: "What is the meaning of place?". Here, we present two ongoing projects that we believe can contribute to the answer. The first regards the semantic enrichment of place, starting from a simple description of the place towards a concept network; the second focuses the natural language description of this network, as a final output to the user. We present these two projects, focus on their intersection and give an example of the end results.

[1]  Robert Dale,et al.  Building Natural Language Generation Systems: Figures , 2000 .

[2]  Mário J. Silva,et al.  The XLDB Group at GeoCLEF 2005 , 2005, CLEF.

[3]  Bill Serra,et al.  People, Places, Things: Web Presence for the Real World , 2000, Proceedings Third IEEE Workshop on Mobile Computing Systems and Applications.

[4]  Rada Mihalcea,et al.  Measuring the Semantic Similarity of Texts , 2005, EMSEE@ACL.

[5]  Ehud Reiter,et al.  Book Reviews: Building Natural Language Generation Systems , 2000, CL.

[6]  Dan Frankowski,et al.  An experiment in discovering personally meaningful places from location data , 2005, CHI Extended Abstracts.

[7]  Jeffrey Hightower,et al.  From Position to Place , 2003 .

[8]  C. Bento,et al.  The Ejaki Project: A Quality of Service Regulator for Citizens , 2007, 2007 IEEE International Conference on Portable Information Devices.

[9]  Thad Starner,et al.  Learning Significant Locations and Predicting User Movement with GPS , 2002, Proceedings. Sixth International Symposium on Wearable Computers,.

[10]  George A. Miller,et al.  Introduction to WordNet: An On-line Lexical Database , 1990 .

[11]  Tony Veale,et al.  An Intrinsic Information Content Metric for Semantic Similarity in WordNet , 2004, ECAI.