TY - GEN
T1 - Technical Usability of Wikidata’s Linked Data
T2 - 22nd International Conference on Business Information Systems, BIS 2019
AU - Freire, Nuno
AU - Isaac, Antoine
PY - 2019
Y1 - 2019
N2 - Wikidata is an outstanding data source with potential application in many scenarios. Wikidata provides its data openly in RDF. Our study aims to evaluate the usability of Wikidata as a data source for robots operating on the web of data, according to specifications and practices of linked data, the Semantic Web and ontology reasoning. We evaluated from the perspective of two use cases of data crawling robots, which are guided by our general motivation to acquire richer data for Europeana, a data aggregator from the Cultural Heritage domain. The first use case regards general data consumption applications based on RDF, RDF-Schema, OWL, SKOS and linked data. The second case regards applications that explore semantics relying on Schema.org and SKOS. We conclude that a human operator must assist linked data applications to interpret Wikidata’s RDF because of the choices that were taken at Wikidata in the definition of its expression in RDF. The semantics of the RDF output from Wikidata is “locked-in” by the usage of Wikidata’s own ontology, resulting in the need for human intervention. Wikidata is only a few steps away from high quality machine interpretation, however. It contains extensive alignment data to RDF, RDFS, OWL, SKOS and Schema.org, but a machine interpretation of those alignments can only be done if some essential Wikidata alignment properties are known.
AB - Wikidata is an outstanding data source with potential application in many scenarios. Wikidata provides its data openly in RDF. Our study aims to evaluate the usability of Wikidata as a data source for robots operating on the web of data, according to specifications and practices of linked data, the Semantic Web and ontology reasoning. We evaluated from the perspective of two use cases of data crawling robots, which are guided by our general motivation to acquire richer data for Europeana, a data aggregator from the Cultural Heritage domain. The first use case regards general data consumption applications based on RDF, RDF-Schema, OWL, SKOS and linked data. The second case regards applications that explore semantics relying on Schema.org and SKOS. We conclude that a human operator must assist linked data applications to interpret Wikidata’s RDF because of the choices that were taken at Wikidata in the definition of its expression in RDF. The semantics of the RDF output from Wikidata is “locked-in” by the usage of Wikidata’s own ontology, resulting in the need for human intervention. Wikidata is only a few steps away from high quality machine interpretation, however. It contains extensive alignment data to RDF, RDFS, OWL, SKOS and Schema.org, but a machine interpretation of those alignments can only be done if some essential Wikidata alignment properties are known.
KW - OWL
KW - RDF
KW - RDFS
KW - Schema.org
KW - Semantic Web
UR - http://www.scopus.com/inward/record.url?scp=85077500087&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077500087&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-36691-9_47
DO - 10.1007/978-3-030-36691-9_47
M3 - Conference contribution
AN - SCOPUS:85077500087
SN - 9783030366902
T3 - Lecture Notes in Business Information Processing
SP - 556
EP - 567
BT - Business Information Systems Workshops
A2 - Abramowicz, Witold
A2 - Corchuelo, Rafael
PB - Springer
Y2 - 26 June 2019 through 28 June 2019
ER -