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Deriving human-readable labels from SPARQL queries

Published: 07 September 2011 Publication History

Abstract

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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Cited By

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  • (2023)Pattern Selection for Large NetworksPlug-and-Play Visual Subgraph Query Interfaces10.1007/978-3-031-16162-9_7(83-121)Online publication date: 14-Mar-2023
  • (2021)Towards plug-and-play visual graph query interfacesProceedings of the VLDB Endowment10.14778/3476249.347625614:11(1979-1991)Online publication date: 1-Jul-2021
  • (2014)Keyword-Based SPARQL Query Generation System to Improve Semantic Tractability on LOD CloudProceedings of the 2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing10.1109/IMIS.2014.95(102-109)Online publication date: 2-Jul-2014

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cover image ACM Other conferences
I-Semantics '11: Proceedings of the 7th International Conference on Semantic Systems
September 2011
129 pages
ISBN:9781450306218
DOI:10.1145/2063518
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2011

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Author Tags

  1. SPARQL
  2. labels
  3. semantic web

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I-Semantics '11

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Cited By

View all
  • (2023)Pattern Selection for Large NetworksPlug-and-Play Visual Subgraph Query Interfaces10.1007/978-3-031-16162-9_7(83-121)Online publication date: 14-Mar-2023
  • (2021)Towards plug-and-play visual graph query interfacesProceedings of the VLDB Endowment10.14778/3476249.347625614:11(1979-1991)Online publication date: 1-Jul-2021
  • (2014)Keyword-Based SPARQL Query Generation System to Improve Semantic Tractability on LOD CloudProceedings of the 2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing10.1109/IMIS.2014.95(102-109)Online publication date: 2-Jul-2014

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