Open Knowledge Graphs (KGs) such as DBpedia and Wiki-
data have been recognized as the foundations for diverse applications in
the field of data mining and information retrieval. Each of these KGs fol-
lows a different knowledge organization as well as is based on differently
structured ontologies. Moreover, it has been observed that type informa-
tion are often noisy, incomplete or even incorrect. In general, there is a
need for well defined and comparable type information for the entities
of the KGs. In this paper, we propose an isomorphism-based approach
to infer subsumption relations to RDF type information in Wikidata by
exploiting the RDF type information from DBpedia.
Keywords:
Knowledge Graph, RDF, Wikidata, DBpedia
%0 Conference Paper
%1 biswas2018exploiting
%A Biswas, Russa
%A Koutraki, Maria
%A Sack, Harald
%D 2018
%K DBpedia KnowledgeGraph RDF Wikidata fiziseown
%T Exploiting Equivalence to Infer Type Subsumption in Linked Graphs
%X Open Knowledge Graphs (KGs) such as DBpedia and Wiki-
data have been recognized as the foundations for diverse applications in
the field of data mining and information retrieval. Each of these KGs fol-
lows a different knowledge organization as well as is based on differently
structured ontologies. Moreover, it has been observed that type informa-
tion are often noisy, incomplete or even incorrect. In general, there is a
need for well defined and comparable type information for the entities
of the KGs. In this paper, we propose an isomorphism-based approach
to infer subsumption relations to RDF type information in Wikidata by
exploiting the RDF type information from DBpedia.
Keywords:
Knowledge Graph, RDF, Wikidata, DBpedia
@inproceedings{biswas2018exploiting,
abstract = {Open Knowledge Graphs (KGs) such as DBpedia and Wiki-
data have been recognized as the foundations for diverse applications in
the field of data mining and information retrieval. Each of these KGs fol-
lows a different knowledge organization as well as is based on differently
structured ontologies. Moreover, it has been observed that type informa-
tion are often noisy, incomplete or even incorrect. In general, there is a
need for well defined and comparable type information for the entities
of the KGs. In this paper, we propose an isomorphism-based approach
to infer subsumption relations to RDF type information in Wikidata by
exploiting the RDF type information from DBpedia.
Keywords:
Knowledge Graph, RDF, Wikidata, DBpedia},
added-at = {2018-05-25T13:25:30.000+0200},
author = {Biswas, Russa and Koutraki, Maria and Sack, Harald},
biburl = {https://www.bibsonomy.org/bibtex/28cd309a24abd2f91699213e03651bb80/vivienvetter},
eventdate = {2018},
eventtitle = {ESWC 2018 Posters & Demo Tracks},
interhash = {ee76af6923f3108711f509eeed16ab1c},
intrahash = {8cd309a24abd2f91699213e03651bb80},
keywords = {DBpedia KnowledgeGraph RDF Wikidata fiziseown},
timestamp = {2018-05-25T13:25:30.000+0200},
title = {Exploiting Equivalence to Infer Type Subsumption in Linked Graphs},
venue = {ESWC 2018},
year = 2018
}