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Semantically enriching VGI in support of implicit feedback analysis
Author(s)
Date Issued
2011-03
Date Available
2011-11-25T13:01:54Z
Abstract
In recent years, the proliferation of Volunteered Geographic Information (VGI) has enabled many Internet users to contribute to the construction of rich and increasingly complex spatial datasets. This growth of geo-referenced information and the often loose semantic structure of such data have resulted in spatial information overload. For this reason, a semantic gap has emerged between unstructured geo-spatial datasets and high-level ontological concepts. Filling this semantic gap can help reduce spatial information overload, therefore facilitating both user interactions and the analysis of such interaction. Implicit Feedback analysis is the focus of our work. In this paper we address this problem by proposing a system that executes spatial discovery queries. Our system combines a semantically-rich and spatially-poor ontology (DBpedia) with a spatially-rich and semantically-poor VGI dataset (OpenStreetMap). This technique differs from existing ones, such as the aggregated dataset LinkedGeoData, as it is focused on user interest analysis and takes map scale into account. System architecture, functionality and preliminary results gathered about the system performance are discussed.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer-Verlag
Copyright (Published Version)
Springer-Verlag Berlin Heidelberg 2011
Subject – LCSH
Geographic information systems
User-generated content
Ontologies (Information retrieval)
Social media
System analysis
Web versions
Language
English
Status of Item
Peer reviewed
Part of
Tanaka, K., Fröhlich, P., Kim, K.S. (eds.). Web and Wireless Geographical Information Systems 10th International Symposium, W2GIS 2011 Kyoto, Japan, March 3-4, 2011 : Proceedings
Conference Details
Paper presented at the 10th International Symposyum on Web and Wireless Geographical Information Systems, 3-4 March 2011, Kyoto, Japan
ISBN
978-3-642-19172-5
This item is made available under a Creative Commons License
File(s)
Name
2011 - Semantically Enriching VGI in Support of Implicit Feedback Analysis - Ballatore Bertolotto.pdf
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1.24 MB
Format
Owning collection
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