On the Effect of Geometries Simplification on Geo-spatial Link Discovery
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference24 articles.
1. A.-C. Ngonga Ngomo, Orchid - reduction-ratio-optimal computation of geo-spatial distances for link discovery, in: Proceedings of ISWC 2013, 2013.
2. M. Sherif, A.-C. Ngonga Ngomo, J. Lehmann, WOMBAT - A Generalization Approach for Automatic Link Discovery, in: 14th Extended Semantic Web Conference, Portorož, Slovenia, 28th May - 1st June 2017, Springer, 2017.
3. J. Lehmann, T. Furche, G. Grasso, A.-C. Ngonga Ngomo, C. Schallhart, A. Sellers, C. Unger, L. Bühmann, D. Gerber, K. Höffner, D. Liu, S. Auer, Deqa: Deep web extraction for Question Answering, in: Proceedings of ISWC, 2012. URL http://jens-lehmann.org/files/2012/iswc_deqa.pdf
4. M. Sherif, A.-C. Ngonga Ngomo, J. Lehmann, Automating RDF dataset transformation and enrichment, in: Proceedings of 12th Extended Semantic Web Conference, Springer, 2015. URL http://svn.aksw.org/papers/2015/ESWC_DEER/public.pdf
5. M. A. Sherif, A.-C. N. Ngomo, A systematic survey of point set distance measures for link discovery, Semantic Web Journal. (Cited on page 18.).
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