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Focused exploration of geospatial context on linked open data

Focused exploration of geospatial context on linked open data
Focused exploration of geospatial context on linked open data
The Linked Open Data cloud provides a wide range of different types of information which are interlinked and connected. When a user or application is interested in specific types of information under time constraints it is best to explore this vast knowledge network in a focused and directed way. In this paper we address the novel task of focused exploration of Linked Open Data for geospatial resources, helping journalists in real-time during breaking news stories to find contextual geospatial information related to geoparsed content. After formalising the task of focused exploration, we present and evaluate five approaches based on three different paradigms. Our results on a dataset with 425,338 entities show that focused exploration on the Linked Data cloud is feasible and can be implemented at very high levels of accuracy of more than 98%.
Middleton, Stuart E.
404b62ba-d77e-476b-9775-32645b04473f
Gottron, Thomas
2eff5cf5-2c22-471a-9b9b-13b468cc050c
Schmitz, Johannes
2532e5bb-7cdc-433d-a0f4-d1108ee5a508
Middleton, Stuart E.
404b62ba-d77e-476b-9775-32645b04473f
Gottron, Thomas
2eff5cf5-2c22-471a-9b9b-13b468cc050c
Schmitz, Johannes
2532e5bb-7cdc-433d-a0f4-d1108ee5a508

Middleton, Stuart E., Gottron, Thomas and Schmitz, Johannes (2014) Focused exploration of geospatial context on linked open data At 3rd International Workshop on Intelligent Exploration of Semantic Data (IESD 2014), Italy. 20 Oct 2014.

Record type: Conference or Workshop Item (Paper)

Abstract

The Linked Open Data cloud provides a wide range of different types of information which are interlinked and connected. When a user or application is interested in specific types of information under time constraints it is best to explore this vast knowledge network in a focused and directed way. In this paper we address the novel task of focused exploration of Linked Open Data for geospatial resources, helping journalists in real-time during breaking news stories to find contextual geospatial information related to geoparsed content. After formalising the task of focused exploration, we present and evaluate five approaches based on three different paradigms. Our results on a dataset with 425,338 entities show that focused exploration on the Linked Data cloud is feasible and can be implemented at very high levels of accuracy of more than 98%.

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More information

Published date: 20 October 2014
Venue - Dates: 3rd International Workshop on Intelligent Exploration of Semantic Data (IESD 2014), Italy, 2014-10-20 - 2014-10-20
Organisations: IT Innovation

Identifiers

Local EPrints ID: 370582
URI: http://eprints.soton.ac.uk/id/eprint/370582
PURE UUID: 5fe2b6b0-3864-479a-9bd3-8964f808cd61
ORCID for Stuart E. Middleton: ORCID iD orcid.org/0000-0001-8305-8176

Catalogue record

Date deposited: 03 Nov 2014 12:04
Last modified: 17 Jul 2017 21:49

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Contributors

Author: Stuart E. Middleton ORCID iD
Author: Thomas Gottron
Author: Johannes Schmitz

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