Triple Trustworthiness Measurement for Knowledge Graph-Reference-Cited by-同舟云学术

Triple Trustworthiness Measurement for Knowledge Graph

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
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Author:

Jia Shengbin¹,Xiang Yang¹,Chen Xiaojun¹,Wang Kun²

Affiliation:

1. Tongji University, China

2. East China Normal University, China

Publisher

ACM Press

Reference45 articles.

1. Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives. 2007. DBpedia: A nucleus for a Web of open data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4825 LNCS. 722-735. https://doi.org/10.1007/978-3-540-76298-0_52

2. Michele Banko, Mj Cafarella, and Stephen Soderland. 2007. Open information extraction for the web. In the 16th International Joint Conference on Artificial Intelligence (IJCAI 2007). 2670-2676. https://doi.org/10.1145/1409360.1409378

3. Kurt Bollacker, Robert Cook, and Patrick Tufts. 2007. Freebase: A shared database of structured general human knowledge. Proceedings of the national conference on Artificial Intelligence (2007).

4. Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008. Freebase: a collaboratively created graph database for structuring human knowledge. In Proceedings of the 2008 ACM SIGMOD international conference on Management of data (SIGMOD 2008). 1247-1250. https://doi.org/10.1145/1376616.1376746

5. Antoine Bordes, Nicolas Usunier, Jason Weston, and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-Relational Data. Advances in NIPS (2013). https://doi.org/10.1007/s13398-014-0173-7.2 arxiv:arXiv:1011.1669v3

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