Ecole d'ingénieur et centre de recherche en Sciences du numérique

Towards an objective assessment framework for linked data quality: Enriching dataset profiles with quality indicators

Assaf, Ahmad; Senart, Aline; Troncy, Raphaël

International Journal on Semantic Web and Information Systems (IJSWIS), Special Issue on Dataset Profiling and Federated Search for Linked Data, Vol. 12, N°3, 2016, ISSN: 1552-6283

Ensuring data quality in Linked Open Data is a complex process as it consists of structured information supported by models, ontologies and vocabularies and contains queryable endpoints and links. In this paper, the authors first propose an objective assessment framework for Linked Data quality. The authors build upon previous efforts that have identified potential quality issues but focus only on objective quality indicators that can measured regardless on the underlying use case. Secondly, the authors present an extensible quality measurement tool that helps on one hand data owners to rate the quality of their datasets, and on the other hand data consumers to choose their data sources from a ranked set. The authors evaluate this tool by measuring the quality of the LOD cloud. The results demonstrate that the general state of the datasets needs attention as they mostly have low completeness, provenance, licensing and comprehensibility quality scores.

Document Doi Bibtex

Titre:Towards an objective assessment framework for linked data quality: Enriching dataset profiles with quality indicators
Type:Journal
Langue:English
Ville:
Date:
Département:Data Science
Eurecom ref:4844
Copyright: Copyright IGI. Personal use of this material is permitted. The definitive version of this paper was published in International Journal on Semantic Web and Information Systems (IJSWIS), Special Issue on Dataset Profiling and Federated Search for Linked Data, Vol. 12, N°3, 2016, ISSN: 1552-6283 and is available at : http://dx.doi.org/10.4018/IJSWIS.2016070104
Bibtex: @article{EURECOM+4844, doi = {http://dx.doi.org/10.4018/IJSWIS.2016070104}, year = {2016}, month = {05}, title = {{T}owards an objective assessment framework for linked data quality: {E}nriching dataset profiles with quality indicators}, author = {{A}ssaf, {A}hmad and {S}enart, {A}line and {T}roncy, {R}apha{\"e}l}, journal = {{I}nternational {J}ournal on {S}emantic {W}eb and {I}nformation {S}ystems ({IJSWIS}), {S}pecial {I}ssue on {D}ataset {P}rofiling and {F}ederated {S}earch for {L}inked {D}ata, {V}ol. 12, {N}°3, 2016, {ISSN}: 1552-6283}, url = {http://www.eurecom.fr/publication/4844} }
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