{"language":[{"iso":"eng"}],"issue":"1","doi":"10.3233/ds-190021","publication":"Data Sci.","type":"journal_article","date_updated":"2022-01-06T06:57:00Z","page":"15-35","year":"2020","intvolume":"         3","status":"public","author":[{"last_name":"Röder","full_name":"Röder, Michael","first_name":"Michael"},{"full_name":"Kuchelev, Denis","last_name":"Kuchelev","first_name":"Denis"},{"id":"65716","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"volume":3,"title":"HOBBIT: A platform for benchmarking Big Linked Data","_id":"25326","date_created":"2021-10-04T18:38:06Z","citation":{"bibtex":"@article{Röder_Kuchelev_Ngonga Ngomo_2020, title={HOBBIT: A platform for benchmarking Big Linked Data}, volume={3}, DOI={<a href=\"https://doi.org/10.3233/ds-190021\">10.3233/ds-190021</a>}, number={1}, journal={Data Sci.}, author={Röder, Michael and Kuchelev, Denis and Ngonga Ngomo, Axel-Cyrille}, year={2020}, pages={15–35} }","short":"M. Röder, D. Kuchelev, A.-C. Ngonga Ngomo, Data Sci. 3 (2020) 15–35.","chicago":"Röder, Michael, Denis Kuchelev, and Axel-Cyrille Ngonga Ngomo. “HOBBIT: A Platform for Benchmarking Big Linked Data.” <i>Data Sci.</i> 3, no. 1 (2020): 15–35. <a href=\"https://doi.org/10.3233/ds-190021\">https://doi.org/10.3233/ds-190021</a>.","ieee":"M. Röder, D. Kuchelev, and A.-C. Ngonga Ngomo, “HOBBIT: A platform for benchmarking Big Linked Data,” <i>Data Sci.</i>, vol. 3, no. 1, pp. 15–35, 2020, doi: <a href=\"https://doi.org/10.3233/ds-190021\">10.3233/ds-190021</a>.","ama":"Röder M, Kuchelev D, Ngonga Ngomo A-C. HOBBIT: A platform for benchmarking Big Linked Data. <i>Data Sci</i>. 2020;3(1):15-35. doi:<a href=\"https://doi.org/10.3233/ds-190021\">10.3233/ds-190021</a>","mla":"Röder, Michael, et al. “HOBBIT: A Platform for Benchmarking Big Linked Data.” <i>Data Sci.</i>, vol. 3, no. 1, 2020, pp. 15–35, doi:<a href=\"https://doi.org/10.3233/ds-190021\">10.3233/ds-190021</a>.","apa":"Röder, M., Kuchelev, D., &#38; Ngonga Ngomo, A.-C. (2020). HOBBIT: A platform for benchmarking Big Linked Data. <i>Data Sci.</i>, <i>3</i>(1), 15–35. <a href=\"https://doi.org/10.3233/ds-190021\">https://doi.org/10.3233/ds-190021</a>"},"user_id":"15526"}