Wissensgraphen im Web
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Publisher
Springer Fachmedien Wiesbaden
Link
https://link.springer.com/content/pdf/10.1007/978-3-658-31938-0_7
Reference37 articles.
1. Galkin, M., Auer, S., Scerri, S.: Enterprise knowledge graphs: A backbone of linked enterprise data. In: 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI). pp. 497–502. IEEE (2016)
2. Gomez-Perez, J.M., Pan, J.Z., Vetere, G., Wu, H.: Enterprise knowledge graph: An introduction. In: Exploiting linked data and knowledge graphs in large organisations, pp. 1–14. Springer (2017)
3. Ringler, D., Paulheim, H.: One knowledge graph to rule them all? analyzing the differences between DBpedia, YAGO, Wikidata & co. In: Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz). pp. 366–372. Springer (2017)
4. Ristoski, P., Paulheim, H.: Semantic web in data mining and knowledge discovery: A comprehensive survey. Web semantics: science, services and agents on the World Wide Web 36, 1–22 (2016)
5. Noy, N., Gao, Y., Jain, A., Narayanan, A., Patterson, A., Taylor, J.: Industry-scale knowledge graphs: Lessons and challenges. Communications of the ACM 62(8), 36–43 (2019)
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