Abstract
Shared multimedia, microblogs, search engine queries, user comments, and location check-ins, among others, generate an enormous stream of human activity records. Such records consist of information in the form of text, images, or videos, and can often be traced in time and space using associated time/location information. Over the past years such spatio-temporal activity streams have been heavily studied with the aim to extract and explore spatio-temporal phenomena, like events, place descriptions, and geographical topics. Despite the clear intuition and often simple techniques to extract such knowledge, the amount of noise, sparsity, and heterogeneity in the data makes such tasks non-trivial and erroneous. This demonstration offers a visual interface to compare, combine, and evaluate spatio-temporal signal extraction and exploration approaches from large-scale sets of human activity records.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Rattenbury, T., Naaman, M.: Methods for Extracting Place Semantics from Flickr Tags. ACM Transactions on the Web 3(1), 1–30 (2009)
Xu, J.-M., Bhargava, A., Nowak, R., Zhu, X.: Socioscope: Spatio-temporal Signal Recovery from Social Media. In: Flach, P.A., De Bie, T., Cristianini, N. (eds.) ECML PKDD 2012, Part II. LNCS, vol. 7524, pp. 644–659. Springer, Heidelberg (2012)
Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors. In: Proc. of WWW 2010, pp. 851–860 (2010)
Yin, Z., Cao, L., Han, J., Zhai, C., Huang, T.: Geographical Topic Discovery and Comparison. In: Proc. of WWW 2011, pp. 247–256 (2011)
Zhang, H., Korayem, M., You, E., Crandall, D.J.: Beyond Co-occurrence: Discovering and Visualizing Tag Relationships from Geo-spatial and Temporal Similarities. In: Proc. of WSDM 2012, pp. 33–42 (2012)
Sengstock, C., Gertz, M.: Latent Geographic Feature Extraction from Social Media. In: Proc. of GIS 2012, pp. 149–158 (2012)
Jin, X., Gallagher, A., Cao, L., Luo, L., Han, J.: The Wisdom of Social Multimedia: Using Flickr For Prediction and Forecast. In: Proc. of MM 2010, pp. 1235–1244 (2010)
Zhang, H., Korayem, M., Crandall, D.J., Lebuhn, G.: Mining Photo-sharing Websites to Study Ecological Phenomena. In: Proc. of WWW 2012, pp. 749–758 (2012)
Wing, B.P., Baldridge, J.: Simple Supervised Document Geolocation with Geodesic Grids. In: Proc. of ACL 2011, pp. 955–964 (2011)
OHare, N., Murdock, V.: Modeling Locations with Social Media. Journal of Information Retrieval 16(1), 30–62 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sengstock, C., Gertz, M., Abdelhaq, H., Flatow, F. (2013). Reliable Spatio-temporal Signal Extraction and Exploration from Human Activity Records. In: Nascimento, M.A., et al. Advances in Spatial and Temporal Databases. SSTD 2013. Lecture Notes in Computer Science, vol 8098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40235-7_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-40235-7_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40234-0
Online ISBN: 978-3-642-40235-7
eBook Packages: Computer ScienceComputer Science (R0)