CISUC

Semantics of Place: Ontology Enrichment

Authors

Abstract

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. 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 brie�y describe the KUSCO system and present some preliminary results.

Keywords

Ambient Intelligence, Ontology Engineering, Knowledge Extraction

Subject

Ambient Intelligence

Conference

11th Ibero-American Conference on Artificial Intelligence, October 2008

DOI


Cited by

Year 2016 : 1 citations

 Tieke He, Hongzhi Yin, Zhenyu Chen, Xiaofang Zhou, Shazia Sadiq, and Bin Luo. 2016. A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs. ACM Trans. Intell. Syst. Technol. 8, 1, Article 12 (July 2016), 24 pages. DOI: https://doi.org/10.1145/2905373

Year 2014 : 1 citations

 Kim, Byoungoh, et al. "SpinRadar: a spontaneous service provision middleware for place-aware social interactions." Personal and ubiquitous computing 18.2 (2014): 413-426.

Year 2013 : 2 citations

 Son, H., Kim, B.,Kim T., Lee, D., Hyun S. J. SemanticRadar: AR-Based Pervasive Interaction Support via Semantic Communications. First International Conference, DAPI 2013, Held as Part of HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013.

 Kim, B.,Kim T., Lee, D., Hyun S. J. SpinRadar: a spontaneous service provision middleware for place-aware social interactions. Journal: Personal and Ubiquitous Computing. DOI: 10.1007/s00779-013-0659-x. April 2013.

Year 2012 : 1 citations

 Pundt, Hardy. "Semantically Enriched POI as Ontological Foundation for Web-Based and Mobile Spatial Applications." Universal Ontology of Geographic Space: Semantic Enrichment for Spatial Data. IGI Global, 2012. 186-206. Web. 8 Feb. 2017. doi:10.4018/978-1-4666-0327-1.ch008