Analyzing statistics with background knowledge from Linked Open Data

URL:	http://ceur-ws.org/Vol-1549/article-12.pdf
Additional URL:	http://www.heikopaulheim.com/docs/semstats_2013.pd...
Document Type:	Conference or workshop publication
Year of publication:	2016
Book title:	SemStats 2013 : Proceedings of the 1st International Workshop on Semantic Statistics co-located with 13th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 11th, 2013
The title of a journal, publication series:	CEUR Workshop Proceedings
Volume:	1549
Page range:	Article 12
Conference title:	SemStats 2013, 1st International Workshop on Semantic Statistics
Location of the conference venue:	Sydney, Australia
Date of the conference:	11.10.2013
Publisher:	Capadisli, Sarven
Place of publication:	Aachen, Germany
Publishing house:	RWTH Aachen
ISSN:	1613-0073
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Information Systems V: Web-based Systems (Bizer 2012-) School of Business Informatics and Mathematics > Web Data Mining (Juniorprofessur) (Paulheim 2013-2017)
Subject:	004 Computer science, internet
Abstract:	Background knowledge from Linked Open Data sources, such as DBpedia, Eurostat, and GADM, can be used to create both interpretations and advanced visualizations of statistical data. In this paper, we discuss methods of linking statistical data to Linked Open Data sources and the use of the Explain-a-LOD toolkit. The paper further shows exemplary endings and visualizations created by combining the statistics datasets with Linked Open Data.