Dynamic Planning for Link Discovery

Author:

Georgala KleanthiORCID,Obraczka DanielORCID,Ngonga Ngomo Axel-Cyrille

Publisher

Springer International Publishing

Reference18 articles.

1. Nentwig, M., Hartung, M., Ngonga Ngomo, A.-C., Rahm, E.: A survey of current link discovery frameworks. Semant. Web 8, 1–18 (2015). (Preprint)

2. Isele, R., Jentzsch, A., Bizer, C.: Efficient multidimensional blocking for link discovery without losing recall. In: Marian, A., Vassalos, V. (eds.) WebDB (2011)

3. Ngonga Ngomo, A.-C., Auer, S.: LIMES - a time-efficient approach for large-scale link discovery on the web of data. In: Proceedings of IJCAI (2011)

4. Wang, J., Feng, J., Li, G.: Trie-join: efficient trie-based string similarity joins with edit-distance constraints. Proc. VLDB Endow. 3(1–2), 1219–1230 (2010)

5. Xiao, C., Wang, W., Lin, X., Yu, J.X.: Efficient similarity joins for near duplicate detection. In: Proceedings of the 17th International Conference on World Wide Web, WWW 2008, pp. 131–140. ACM, New York (2008)

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