Place Enrichment by Mining the Web



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.


Information Extraction, Ambient Intelligence, Semantics of Place


Ambient Intelligence

Related Project

CityMotion (MITPortugal Program)


3rd European Conference on Ambient Intelligence, November 2009

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Year 2019 : 1 citations

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Year 2017 : 4 citations

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Year 2015 : 3 citations

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 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

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Year 2012 : 3 citations

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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=