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 language | English |
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Title of host publication | The Semantic Web -- ISWC 2019 |
Subtitle of host publication | 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I |
Editors | Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtech Svátek, Isabel Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon |
Place of Publication | Cham |
Publisher | Springer |
Pages | 523-538 |
Number of pages | 16 |
ISBN (Electronic) | 978-3-030-30793-6 |
ISBN (Print) | 978-3-030-30793-6 |
DOIs | |
Publication status | Published - 17 Oct 2019 |
Event | 16th International Symposium on Wireless Communication Systems - Oulu, Finland Duration: 27 Aug 2019 → 30 Aug 2019 http://iswcs2019.org/ |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer, Cham |
Volume | 11778 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 16th International Symposium on Wireless Communication Systems |
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Abbreviated title | ISWCS 2019 |
Country/Territory | Finland |
City | Oulu |
Period | 27/08/19 → 30/08/19 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- Question answering