Semantic Enrichment of Places: Ontology Learning from the Web



In this paper, we present an approach to a challenge well known from the area of Ubiquitous
Computing: extracting meaning out of geo-referenced information. We believe that Public Places can also be an environment where users can be confronted with intelligent services depending on their needs. To make this a reality we need firstly an intelligent way to represent places. The importance of this "semantics of place" problem is proportional to the number of available services and data that are common nowadays. Having rich knowledge about a place, we open up a new realm of "Location Based Services" that can behave more intelligently. Our approach builds on Ontology Engineering techniques in order to build a network of semantic associations between a place and related concepts. We briefly describe the KUSCO system and present some preliminary results.


Semantic of Place, Ontologies, Ontology Enrichment, Ontology


Ambient Intelligence


International Journal of Knowledge-Based & Intelligent Engineering Systems, Vol. 13, #1, pp. 19-30, IOS Press, January 2009


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Year 2018 : 1 citations

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Year 2017 : 3 citations

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Year 2016 : 1 citations

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Year 2014 : 1 citations

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Year 2012 : 5 citations

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Year 2011 : 2 citations

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