Details
| Original language | English |
|---|---|
| Title of host publication | K-CAP 2017 |
| Subtitle of host publication | Proceedings of the Knowledge Capture Conference |
| Place of Publication | New York |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (electronic) | 9781450355537 |
| Publication status | Published - 4 Dec 2017 |
| Event | 9th International Conference on Knowledge Capture, K-CAP 2017 - Austin, United States Duration: 4 Dec 2017 → 6 Dec 2017 |
Keywords
- Knowledge Capture, Knowledge Graphs, Question Answering Systems, Relation Linking
ASJC Scopus subject areas
- Computer Science(all)
- Computational Theory and Mathematics
- Computer Science(all)
- Software
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Information Systems
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K-CAP 2017: Proceedings of the Knowledge Capture Conference. New York, 2017. p. 1-8 31.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Capturing knowledge in semantically-typed relational patterns to enhance relation linking
AU - Singh, Kuldeep
AU - Mulang, Isaiah Onando
AU - Lytra, Ioanna
AU - Jaradeh, Mohamad Yaser
AU - Sakor, Ahmad
AU - Vidal, Maria Esther
AU - Lange, Christoph
AU - Auer, Sören
N1 - Funding information: This project has received funding from the EU Horizon 2020 R&I programme for the Marie Sk?odowska-Curie action WDAqua (GA No 642795), and the CSA BigDataEurope (GA No 644564).
PY - 2017/12/4
Y1 - 2017/12/4
KW - Knowledge Capture
KW - Knowledge Graphs
KW - Question Answering Systems
KW - Relation Linking
U2 - 10.1145/3148011.3148031
DO - 10.1145/3148011.3148031
M3 - Conference contribution
AN - SCOPUS:85040631730
SP - 1
EP - 8
BT - K-CAP 2017
CY - New York
T2 - 9th International Conference on Knowledge Capture, K-CAP 2017
Y2 - 4 December 2017 through 6 December 2017
ER -