Towards vagueness-aware semantic data

Panos Alexopoulos, Boris Villazon-Terrazas, Jeff Z. Pan

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

7 Citations (Scopus)
10 Downloads (Pure)


The emergence in recent years of initiatives like the Linked Open Data (LOD) has led to a significant increase in the amount of structured semantic data on the Web. In this paper we argue that the shareability and wider reuse of such data can very often be hampered by the existence of vagueness within it, as this makes the data's meaning less explicit. Moreover, as a way to reduce this problem, we propose a vagueness metaontology that may represent in an explicit way the nature and characteristics of vague elements within semantic data.

Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
Subtitle of host publication9th International Workshop on Uncertainty Reasoning for the Semantic Web, URSW 2013 - co-located with the 12th International Semantic Web Conference (ISWC 2013)
EditorsFernando Bobillo, Rommel Carvalho, Paulo C. G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool
Number of pages6
Publication statusPublished - 3 Nov 2013
Event9th International Workshop on Uncertainty Reasoning for the Semantic Web: URSW 2013 - Co-located with the 12th International Semantic Web Conference, ISWC 2013 - Sydney, Australia
Duration: 21 Oct 201321 Oct 2013

Publication series

NameCEUR Workshop Proceedings
ISSN (Electronic)1613-0073


Conference9th International Workshop on Uncertainty Reasoning for the Semantic Web

Bibliographical note

The research has been funded from the People Programme (Marie Curie Actions) of the European Union’s 7th Framework Programme P7/2007-2013 under REA grant agreement no 286348.


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