Entity Enabled Relation Linking

Jeff Z. Pan, Mei Zhang, Kuldeep Singh, Frank van Harmelen, Jinguang Gu, Zhi Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Relation linking is an important problem for knowledge graph-based Question Answering. Given a natural language question and a knowledge graph, the task is to identify relevant relations from the given knowledge graph. Since existing techniques for entity extraction and linking are more stable compared to relation linking, our idea is to exploit entities extracted from the question to support relation linking. In this paper, we propose a novel approach, based on DBpedia entities, for computing relation candidates. We have empirically evaluated our approach on different standard benchmarks. Our evaluation shows that our approach significantly outperforms existing baseline systems in both recall, precision and runtime.
Original languageEnglish
Title of host publicationThe Semantic Web -- ISWC 2019
Subtitle of host publication18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I
EditorsChiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtech Svátek, Isabel Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon
Place of PublicationCham
PublisherSpringer International Publishing
Pages523-538
Number of pages16
ISBN (Electronic)978-3-030-30793-6
ISBN (Print)978-3-030-30793-6
DOIs
Publication statusPublished - 17 Oct 2019
Event16th International Symposium on Wireless Communication Systems - Oulu, Finland
Duration: 27 Aug 201930 Aug 2019
http://iswcs2019.org/

Publication series

NameLecture Notes in Computer Science
PublisherSpringer, Cham
Volume11778
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Symposium on Wireless Communication Systems
Abbreviated titleISWCS 2019
CountryFinland
CityOulu
Period27/08/1930/08/19
Internet address

Keywords

  • Question answering

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