Appunta is a Framework for the Android platform that allows us not only to easily show geopositional information to the user, but also to create new ways of showing this information or modifying the existing ones.
Basically, you have a set of POI (Points Of Interest) located in a map (thus, with a latitude, longitude, and optionally, an altitude), and you need to show these POI and their related information to the user.
Appunta allows you, out of the box, to represent this information in two different ways, a radar or an augmented reality view. But, you can modify these components to show data in other ways or create new ways of visualizing this information.
Appunta is Open Source and anybody can freely use it. So, what are you waiting for?
The integration of sensors with social networks will lead to real-time data and more useful web apps. In recent posts we reviewed an MIT experiment called WikiCity, that gathered real-time location data from mobile phones in Rome and graphically mapped trends from it. We then looked at a more commercial product doing similar real-time location data analysis, called Citysense. That product aims to let users find the most popular night spots in San Francisco and the most efficient ways to get to them. The next stage of projects/products such as Wikicity and Citysense will be to enable users to social...
PMIDs, ISBNs, all the input formats accepted by bibutils (BibTeX, COPAC, EndNote, ISI, Medline, RIS and MODS XML) passed directly or as an uploaded file or as a URL.
M. Becker, J. Mueller, A. Hotho, and G. Stumme. 1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings, page New York, NY, USA. ACM, (2013)Accepted for publication.
J. Bezdek, W. Li, Y. Attikiouzel, and M. Windham. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 1 (4):
166--179(December 1997)
A. Schenker, H. Bunke, M. Last, and A. Kandel. Document Analysis Systems, volume 3163 of Lecture Notes in Computer Science, page 401-412. Springer, (2004)
R. Wetzker, W. Umbrath, and A. Said. ESAIR '09: Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval, page 25--29. New York, NY, USA, ACM, (2009)
L. Ertoz, M. Steinbach, and V. Kumar. Workshop on Clustering High Dimensional Data and its Applications at 2nd SIAM International Conference on Data Mining, (2002)