TY - GEN
T1 - An entity relatedness test dataset
AU - Herrera, José Eduardo Talavera
AU - Casanova, Marco Antonio
AU - Nunes, Bernardo Pereira
AU - Leme, Luiz André P.Paes
AU - Lopes, Giseli Rabello
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - A knowledge base stores descriptions of entities and their relationships, often in the form of a very large RDF graph, such as DBpedia or Wikidata. The entity relatedness problem refers to the question of computing the relationship paths that better capture the connectivity between a given entity pair. This paper describes a dataset created to support the evaluation of approaches that address the entity relatedness problem. The dataset covers two familiar domains, music and movies, and uses data available in IMDb and last.fm, which are popular reference datasets in these domains. The paper describes in detail how sets of entity pairs from each of these domains were selected and, for each entity pair, how a ranked list of relationship paths was obtained.
AB - A knowledge base stores descriptions of entities and their relationships, often in the form of a very large RDF graph, such as DBpedia or Wikidata. The entity relatedness problem refers to the question of computing the relationship paths that better capture the connectivity between a given entity pair. This paper describes a dataset created to support the evaluation of approaches that address the entity relatedness problem. The dataset covers two familiar domains, music and movies, and uses data available in IMDb and last.fm, which are popular reference datasets in these domains. The paper describes in detail how sets of entity pairs from each of these domains were selected and, for each entity pair, how a ranked list of relationship paths was obtained.
KW - Entity relatedness
KW - Knowledge bases
KW - Linked data
KW - Path ranking
KW - Relationship path
UR - http://www.scopus.com/inward/record.url?scp=85032204951&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-68204-4_20
DO - 10.1007/978-3-319-68204-4_20
M3 - Conference contribution
SN - 9783319682037
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 193
EP - 201
BT - The Semantic Web – ISWC 2017 - 16th International Semantic Web Conference, Proceedings
A2 - Fernandez, Miriam
A2 - d’Amato, Claudia
A2 - Tamma, Valentina
A2 - Cudre-Mauroux, Philippe
A2 - Lecue, Freddy
A2 - Lange, Christoph
A2 - Sequeda, Juan
A2 - Heflin, Jeff
PB - Springer Verlag
T2 - 16th International Semantic Web Conference, ISWC 2017
Y2 - 21 October 2017 through 25 October 2017
ER -