A Survey of Knowledge Graph Construction Techniques for Scientific Research Archives
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-97874-7_70
Reference11 articles.
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2. Lamharhar, H., Chiadmi, D., Benhlima, L.: Ontology based knowledge representation for government domain. In: Proceedings of the 17th International Conference on Information Integration and Web Based Applications & Services, pp. 51. iiWAS, Brussels (2015)
3. Lu, X., Pramanik, S., Roy, R., et al.: Answering complex questions by joining multi-document evidence with quasi knowledge graphs. In: Proceedings of the 42nd International ACM SIGIR Conference, pp. 105–114. ACM, New York (2019)
4. Li, J., Wang, Z., Wang, Y., et al.: Research on distributed search technology of multiple data sources intelligent information based on knowledge graph. J. Sig. Process. Syst. 93(2), 239–248 (2021)
5. Wu, X.D., Wu, J., Fu, X.Y., Li, J.C., Zhou, P., Jiang, X.: Automatic knowledge graph construction: a report on the 2019 ICDM/ICBK contest. In: 2019 IEEE International Conference on Data Mining (ICDM), 8–11 November 2019, pp. 1540–1545. Beijing, China (2019)
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