SocialLink: exploiting graph embeddings to link DBpedia entities to Twitter profiles
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/article/10.1007/s13748-018-0160-x/fulltext.html
Reference39 articles.
1. Aprosio, A.P., Giuliano, C., Lavelli, A.: Automatic expansion of DBpedia exploiting Wikipedia cross-language information. In: Proceedings of the Semantic Web: Semantics and Big Data, 10th International Conference, ESWC 2013, Montpellier, France, May 26–30, 2013. Lecture Notes in Computer Science, vol. 7882, pp. 397–411. Springer, Berlin (2013). https://doi.org/10.1007/978-3-642-38288-8_27
2. Besel, C., Schlötterer, J., Granitzer, M.: Inferring semantic interest profiles from Twitter followees: Does Twitter know better than your friends? In: ACM SAC, pp. 1152–1157 (2016)
3. Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. Trans. Assoc. Comput. Linguist. 5, 135–146 (2017)
4. Cochez, M., Ristoski, P., Ponzetto, S.P., Paulheim, H.: Biased graph walks for RDF graph embeddings. In: Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017, pp. 21:1–21:12 (2017)
5. Cochez, M., Ristoski, P., Ponzetto, S.P., Paulheim, H.: Global RDF vector space embeddings. In: The Semantic Web-16th International Semantic Web Conference ISWC 2017, Vienna, Austria, October 21-25, 2017, Proceedings, Part I, Lecture Notes in Computer Science, vol. 10587, pp. 190–207. Springer (2017). https://doi.org/10.1007/978-3-319-68288-4_12
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