An entity relatedness test dataset

José Eduardo Talavera Herrera*, Marco Antonio Casanova, Bernardo Pereira Nunes, Luiz André P.Paes Leme, Giseli Rabello Lopes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationThe Semantic Web – ISWC 2017 - 16th International Semantic Web Conference, Proceedings
EditorsMiriam Fernandez, Claudia d’Amato, Valentina Tamma, Philippe Cudre-Mauroux, Freddy Lecue, Christoph Lange, Juan Sequeda, Jeff Heflin
PublisherSpringer Verlag
Pages193-201
Number of pages9
ISBN (Print)9783319682037
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event16th International Semantic Web Conference, ISWC 2017 - Vienna, Austria
Duration: 21 Oct 201725 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10588 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Semantic Web Conference, ISWC 2017
Country/TerritoryAustria
CityVienna
Period21/10/1725/10/17

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