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Deriving human-readable labels from SPARQL queries

Ell, B., Vrandecic, D. and Simperl, E. (2011) Deriving human-readable labels from SPARQL queries At 7th International Conference on Semantic Systems (I-SEMANTICS2011), Austria. 07 - 09 Sep 2011. , pp. 126-133. (doi:10.1145/2063518.2063535).

Record type: Conference or Workshop Item (Paper)


Over 80% of entities on the Semantic Web lack a human-readable label. This hampers the ability of any tool that uses linked data to offer a meaningful interface to human users. We argue that methods for deriving human-readable labels are essential in order to allow the usage of the Web of Data. In this paper we explore, implement, and evaluate a method for deriving human-readable labels based on the variable names used in a large corpus of SPARQL queries that we built from a set of log files. We analyze the structure of the SPARQL graph patterns and offer a classification scheme for graph patterns. Based on this classification, we identify graph patterns that allow us to derive useful labels. We also provide an overview over the current usage of SPARQL in the newly built corpus.

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Published date: September 2011
Venue - Dates: 7th International Conference on Semantic Systems (I-SEMANTICS2011), Austria, 2011-09-07 - 2011-09-09
Organisations: Web & Internet Science


Local EPrints ID: 351613
ISBN: 978-1-4503-0621-8
PURE UUID: db74a777-79ad-4273-88a8-f2a6f8d9dd81
ORCID for E. Simperl: ORCID iD

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Date deposited: 29 Apr 2013 14:16
Last modified: 18 Jul 2017 04:24

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Author: B. Ell
Author: D. Vrandecic
Author: E. Simperl ORCID iD

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