{"project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"keyword":["2018 sys:relevantFor:infai group\\_aksw simba abdullah sherif ngonga sage slipo projecthobbit limes dice"],"series_title":"SEMANTiCS '18","date_created":"2021-12-17T09:55:30Z","publication":"SEMANTiCS 2018 - Research Track","_id":"29015","year":"2018","citation":{"ama":"Fathi Ahmed A, Ahmed Sherif M, Ngonga Ngomo A-C. On the Effect of Geometries Simplification on Geo-spatial Link Discovery. In: <i>SEMANTiCS 2018 - Research Track</i>. SEMANTiCS ’18. ; 2018.","apa":"Fathi Ahmed, A., Ahmed Sherif, M., &#38; Ngonga Ngomo, A.-C. (2018). On the Effect of Geometries Simplification on Geo-spatial Link Discovery. <i>SEMANTiCS 2018 - Research Track</i>.","mla":"Fathi Ahmed, Abdullah, et al. “On the Effect of Geometries Simplification on Geo-Spatial Link Discovery.” <i>SEMANTiCS 2018 - Research Track</i>, 2018.","chicago":"Fathi Ahmed, Abdullah, Mohamed Ahmed Sherif, and Axel-Cyrille Ngonga Ngomo. “On the Effect of Geometries Simplification on Geo-Spatial Link Discovery.” In <i>SEMANTiCS 2018 - Research Track</i>. SEMANTiCS ’18, 2018.","ieee":"A. Fathi Ahmed, M. Ahmed Sherif, and A.-C. Ngonga Ngomo, “On the Effect of Geometries Simplification on Geo-spatial Link Discovery,” 2018.","short":"A. Fathi Ahmed, M. Ahmed Sherif, A.-C. Ngonga Ngomo, in: SEMANTiCS 2018 - Research Track, 2018.","bibtex":"@inproceedings{Fathi Ahmed_Ahmed Sherif_Ngonga Ngomo_2018, series={SEMANTiCS ’18}, title={On the Effect of Geometries Simplification on Geo-spatial Link Discovery}, booktitle={SEMANTiCS 2018 - Research Track}, author={Fathi Ahmed, Abdullah and Ahmed Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2018}, collection={SEMANTiCS ’18} }"},"abstract":[{"lang":"eng","text":"Link discovery is central to the integration and use of data across RDF knowledge bases. Geospatial information is increasingly represented according to the Linked Data principles. Resources within such datasets are described by means of vector geometry, where link discovery approaches have to deal with millions of point sets consisting of billions of points. In this paper, we study the effect of simplifying the resources? geometries on runtime and F-measure of link discovery approaches. In particular, we evaluate link discovery approaches for computing the point-set distances as well as the topological relations among RDF resources with geospatial representation. The results obtained on two different real datasets suggest that most geospatial link discovery approaches achieve up to 67% speedup using simplification, while the average loss in their F-measure is less than 15\\%. Our implementation is open-source and available at http://github.com/dice-group/limes."}],"language":[{"iso":"eng"}],"title":"On the Effect of Geometries Simplification on Geo-spatial Link Discovery","date_updated":"2022-04-05T10:29:12Z","user_id":"67234","type":"conference","author":[{"full_name":"Fathi Ahmed, Abdullah","first_name":"Abdullah","last_name":"Fathi Ahmed"},{"full_name":"Ahmed Sherif, Mohamed","last_name":"Ahmed Sherif","first_name":"Mohamed"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"status":"public"}