CISUC

Place Enrichment by Mining the Web

Authors

Abstract

In this paper, we address the assignment of semantics to places. The approach followed consists on leveraging from web online resources that are directly or indirectly related to places as well as from the integration with lexical and semantic frameworks such as Wordnet or Semantic Web ontologies.
We argue for the wide applicability and validity of this approach to the area of Ubiquitous Computing, particularly for Context Awareness. We present our system, KUSCO, which searches for semantics associations to a given Point Of Interest (POI). Particular focus is provided to the experimentation and validation aspects.

Keywords

Information Extraction, Ambient Intelligence, Semantics of Place

Subject

Ambient Intelligence

Related Project

CityMotion (MITPortugal Program)

Conference

3rd European Conference on Ambient Intelligence, November 2009

PDF File

DOI


Cited by

Year 2017 : 4 citations

 Grunick, M. (2017). U.S. Patent No. 9,792,378. Washington, DC: U.S. Patent and Trademark Office.

 Komninos, A., Besharat, J., Ferreira, D., Garofalakis, J., & Kostakos, V. (2017). Where’s everybody? Comparing the use of heatmaps to uncover cities’ tacit social context in smartphones and pervasive displays. Information Technology & Tourism, 17(4), 399-427.

 Besarat, J. (2017). Dynamic spatiotemporal information on mobile devices, using data from social networks. (Doctoral dissertation). University of Patras, Greece. Retrieved from http://hdl.handle.net/10889/11011.

 Castillo, Roger Henry, and Brian Andrew Humphrey. "Method, apparatus, and computer program product for classification of documents." U.S. Patent No. 9,589,184. 7 Mar. 2017.

Year 2015 : 2 citations

 CHOI, Su Jeong; PARK, Seong-Bae; KIM, Kweon-yang. Estimating Category of Pois Using Contextual Information. Indian Journal of Science and Technology, [S.l.], p. 718-723, apr. 2015. ISSN 0974 -5645. Available at: . Date accessed: 09 Jul. 2015. doi:10.17485/ijst/2015/v8iS7/70475.

 Benjamin Adams. Finding similar places using the observation-to-generalization place model. Journal of Geographical Systems. April 2015, Volume 17, Issue 2, pp 137-156

Year 2014 : 1 citations

 S. Choi, S. Park, "Categorization of POIs Using Word and Context information," Journal of Korean Institute of Intelligent Systems, Vol 24 (5), pp. 470-476,2014

Year 2013 : 5 citations

 Adams, B. (2013). Finding Geographic Analogs using the Observation-to-Generalization Place Model. Journal of Spatial Information Science, Under-review.

 Ennis, A., Chen, L., Nugent, C., Ioannidis, G., & Stan, A. (2013, December). A System for Real-Time High-Level Geo-Information Extraction and Fusion for Geocoded Photos. In Proceedings of International Conference on Advances in Mobile Computing & Multimedia (p. 75). ACM.

 Andreas Komninos, Jeries Besharat, Denzil Ferreira, and John Garofalakis. 2013. HotCity: enhancing ubiquitous maps with social context heatmaps. In Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia (MUM '13). ACM, New York, NY, USA, , Article 52 , 10 pages. DOI=10.1145/2541831.2543694 http://doi.acm.org/10.1145/2541831.2543694

 Andrew Ennis, Liming Chen, Chris D. Nugent, George Ioannidis, Alexandru Stan, (2013) "High-level geospatial information discovery and fusion for geocoded multimedia", International Journal of Pervasive Computing and Communications, Vol. 9 Iss: 4, pp.367 - 382

 Tammet, T.; Luberg, A.; Järv, P. (2013). Sightsmap: crowd-sourced popularity of the world places. In: Information and Communication Technologies in Tourism 2013: ENTER 2013, Innsbruck, Austria, January 22-25, 2013. (Eds.)Cantoni, L.; Xiang, Z.. Springer, 2013.

Year 2012 : 3 citations

 Luberg, A., Järv, P., & Tammet, T. (2012). Information extraction for a tourist recommender system. In Information and communication technologies in tourism 2012 (pp. 332-343). Springer Vienna.

 Adams, B. T. (2012). Operationalizing Place: Discovering, reasoning about, and exploring place knowledge from descriptions. University of California, Santa Barbara.

 Luberg, A., & Tammeta’b, T. (2012, January). Tourist Recommender System. In Information and Communication Technologies in Tourism 2012: Proceedings of the International Conference in Helsingborg, Sweden, January 24-27, 2012 (p. 332). Springer.

Year 2010 : 2 citations

 Rodrigues, Filipe. POI Mining and Generation. Diss. MSc. thesis, University of Coimbra, 2010.

 Baldauf, M. and Simon, R. 2010. Getting context on the go: mobile urban exploration with ambient tag clouds. In Proceedings of the 6th Workshop on Geographic information Retrieval (Zurich, Switzerland, February 18 - 19, 2010). GIR '10. ACM, New York, NY, 1-2. DOI= http://doi.acm.org/10.1145/1722080.1722094