[{"type":"journal_article","publication":"CoRR","citation":{"bibtex":"@article{Moussallem_Arcan_Ngonga Ngomo_Buitelaar_2019, title={Augmenting Neural Machine Translation with Knowledge Graphs}, volume={abs/1902.08816}, journal={CoRR}, author={Moussallem, Diego and Arcan, Mihael and Ngonga Ngomo, Axel-Cyrille and Buitelaar, Paul}, year={2019} }","mla":"Moussallem, Diego, et al. “Augmenting Neural Machine Translation with Knowledge Graphs.” <i>CoRR</i>, vol. abs/1902.08816, 2019.","short":"D. Moussallem, M. Arcan, A.-C. Ngonga Ngomo, P. Buitelaar, CoRR abs/1902.08816 (2019).","apa":"Moussallem, D., Arcan, M., Ngonga Ngomo, A.-C., &#38; Buitelaar, P. (2019). Augmenting Neural Machine Translation with Knowledge Graphs. <i>CoRR</i>, <i>abs/1902.08816</i>.","ieee":"D. Moussallem, M. Arcan, A.-C. Ngonga Ngomo, and P. Buitelaar, “Augmenting Neural Machine Translation with Knowledge Graphs,” <i>CoRR</i>, vol. abs/1902.08816, 2019.","chicago":"Moussallem, Diego, Mihael Arcan, Axel-Cyrille Ngonga Ngomo, and Paul Buitelaar. “Augmenting Neural Machine Translation with Knowledge Graphs.” <i>CoRR</i> abs/1902.08816 (2019).","ama":"Moussallem D, Arcan M, Ngonga Ngomo A-C, Buitelaar P. Augmenting Neural Machine Translation with Knowledge Graphs. <i>CoRR</i>. 2019;abs/1902.08816."},"status":"public","year":"2019","user_id":"15526","author":[{"first_name":"Diego","full_name":"Moussallem, Diego","last_name":"Moussallem"},{"first_name":"Mihael","last_name":"Arcan","full_name":"Arcan, Mihael"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"},{"first_name":"Paul","last_name":"Buitelaar","full_name":"Buitelaar, Paul"}],"date_created":"2021-10-04T21:49:18Z","volume":"abs/1902.08816","date_updated":"2022-01-06T06:57:02Z","_id":"25390","language":[{"iso":"eng"}],"title":"Augmenting Neural Machine Translation with Knowledge Graphs"},{"citation":{"apa":"Amer Desouki, A., Röder, M., &#38; Ngonga Ngomo, A.-C. (2019). topFiberM: Scalable and Efficient Boolean Matrix Factorization. <i>CoRR</i>, <i>abs/1903.10326</i>.","short":"A. Amer Desouki, M. Röder, A.-C. Ngonga Ngomo, CoRR abs/1903.10326 (2019).","mla":"Amer Desouki, Abdelmoneim, et al. “TopFiberM: Scalable and Efficient Boolean Matrix Factorization.” <i>CoRR</i>, vol. abs/1903.10326, 2019.","bibtex":"@article{Amer Desouki_Röder_Ngonga Ngomo_2019, title={topFiberM: Scalable and Efficient Boolean Matrix Factorization}, volume={abs/1903.10326}, journal={CoRR}, author={Amer Desouki, Abdelmoneim and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}, year={2019} }","chicago":"Amer Desouki, Abdelmoneim, Michael Röder, and Axel-Cyrille Ngonga Ngomo. “TopFiberM: Scalable and Efficient Boolean Matrix Factorization.” <i>CoRR</i> abs/1903.10326 (2019).","ieee":"A. Amer Desouki, M. Röder, and A.-C. 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Moussallem, M. Wauer, A.-C. Ngonga Ngomo, CoRR abs/1907.10676 (2019).","apa":"Moussallem, D., Wauer, M., &#38; Ngonga Ngomo, A.-C. (2019). Semantic Web for Machine Translation: Challenges and Directions. <i>CoRR</i>, <i>abs/1907.10676</i>.","ama":"Moussallem D, Wauer M, Ngonga Ngomo A-C. Semantic Web for Machine Translation: Challenges and Directions. <i>CoRR</i>. 2019;abs/1907.10676.","chicago":"Moussallem, Diego, Matthias Wauer, and Axel-Cyrille Ngonga Ngomo. “Semantic Web for Machine Translation: Challenges and Directions.” <i>CoRR</i> abs/1907.10676 (2019).","ieee":"D. Moussallem, M. Wauer, and A.-C. Ngonga Ngomo, “Semantic Web for Machine Translation: Challenges and Directions,” <i>CoRR</i>, vol. abs/1907.10676, 2019."},"year":"2019","title":"Semantic Web for Machine Translation: Challenges and Directions","volume":"abs/1907.10676","date_created":"2021-10-04T21:50:47Z","author":[{"last_name":"Moussallem","full_name":"Moussallem, Diego","first_name":"Diego"},{"first_name":"Matthias","last_name":"Wauer","full_name":"Wauer, Matthias"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"}],"date_updated":"2022-01-06T06:57:02Z","status":"public","publication":"CoRR","type":"journal_article","language":[{"iso":"eng"}],"user_id":"15526","_id":"25392"},{"_id":"25393","date_updated":"2022-01-06T06:57:02Z","volume":"abs/1911.01248","author":[{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"},{"first_name":"Diego","full_name":"Moussallem, Diego","last_name":"Moussallem"},{"last_name":"Bühmann","full_name":"Bühmann, Lorenz","first_name":"Lorenz"}],"date_created":"2021-10-04T21:51:33Z","user_id":"15526","title":"A Holistic Natural Language Generation Framework for the Semantic Web","language":[{"iso":"eng"}],"publication":"CoRR","type":"journal_article","year":"2019","status":"public","citation":{"ama":"Ngonga Ngomo A-C, Moussallem D, Bühmann L. A Holistic Natural Language Generation Framework for the Semantic Web. <i>CoRR</i>. 2019;abs/1911.01248.","chicago":"Ngonga Ngomo, Axel-Cyrille, Diego Moussallem, and Lorenz Bühmann. “A Holistic Natural Language Generation Framework for the Semantic Web.” <i>CoRR</i> abs/1911.01248 (2019).","ieee":"A.-C. Ngonga Ngomo, D. Moussallem, and L. Bühmann, “A Holistic Natural Language Generation Framework for the Semantic Web,” <i>CoRR</i>, vol. abs/1911.01248, 2019.","bibtex":"@article{Ngonga Ngomo_Moussallem_Bühmann_2019, title={A Holistic Natural Language Generation Framework for the Semantic Web}, volume={abs/1911.01248}, journal={CoRR}, author={Ngonga Ngomo, Axel-Cyrille and Moussallem, Diego and Bühmann, Lorenz}, year={2019} }","short":"A.-C. Ngonga Ngomo, D. Moussallem, L. Bühmann, CoRR abs/1911.01248 (2019).","mla":"Ngonga Ngomo, Axel-Cyrille, et al. “A Holistic Natural Language Generation Framework for the Semantic Web.” <i>CoRR</i>, vol. abs/1911.01248, 2019.","apa":"Ngonga Ngomo, A.-C., Moussallem, D., &#38; Bühmann, L. (2019). A Holistic Natural Language Generation Framework for the Semantic Web. <i>CoRR</i>, <i>abs/1911.01248</i>."}},{"citation":{"bibtex":"@article{Röder_de Souza_Kuchelev_Amer Desouki_Ngonga Ngomo_2019, title={ORCA: a Benchmark for Data Web Crawlers}, volume={abs/1912.08026}, journal={CoRR}, author={Röder, Michael and de Souza, Geraldo and Kuchelev, Denis and Amer Desouki, Abdelmoneim and Ngonga Ngomo, Axel-Cyrille}, year={2019} }","mla":"Röder, Michael, et al. “ORCA: A Benchmark for Data Web Crawlers.” <i>CoRR</i>, vol. abs/1912.08026, 2019.","short":"M. Röder, G. de Souza, D. Kuchelev, A. Amer Desouki, A.-C. Ngonga Ngomo, CoRR abs/1912.08026 (2019).","apa":"Röder, M., de Souza, G., Kuchelev, D., Amer Desouki, A., &#38; Ngonga Ngomo, A.-C. (2019). ORCA: a Benchmark for Data Web Crawlers. <i>CoRR</i>, <i>abs/1912.08026</i>.","chicago":"Röder, Michael, Geraldo de Souza, Denis Kuchelev, Abdelmoneim Amer Desouki, and Axel-Cyrille Ngonga Ngomo. “ORCA: A Benchmark for Data Web Crawlers.” <i>CoRR</i> abs/1912.08026 (2019).","ieee":"M. Röder, G. de Souza, D. Kuchelev, A. Amer Desouki, and A.-C. Ngonga Ngomo, “ORCA: a Benchmark for Data Web Crawlers,” <i>CoRR</i>, vol. abs/1912.08026, 2019.","ama":"Röder M, de Souza G, Kuchelev D, Amer Desouki A, Ngonga Ngomo A-C. ORCA: a Benchmark for Data Web Crawlers. <i>CoRR</i>. 2019;abs/1912.08026."},"year":"2019","title":"ORCA: a Benchmark for Data Web Crawlers","date_created":"2021-10-04T21:52:18Z","author":[{"last_name":"Röder","full_name":"Röder, Michael","first_name":"Michael"},{"last_name":"de Souza","full_name":"de Souza, Geraldo","first_name":"Geraldo"},{"first_name":"Denis","full_name":"Kuchelev, Denis","last_name":"Kuchelev"},{"last_name":"Amer Desouki","full_name":"Amer Desouki, Abdelmoneim","first_name":"Abdelmoneim"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"volume":"abs/1912.08026","date_updated":"2022-01-06T06:57:02Z","status":"public","type":"journal_article","publication":"CoRR","language":[{"iso":"eng"}],"user_id":"15526","_id":"25394"},{"status":"public","abstract":[{"text":"Existing technologies employ different machine learning approaches to predict disasters from historical environmental data. However, for short-term disasters (e.g., earthquakes), historical data alone has a limited prediction capability. In this work, we consider social media as a supplementary source of knowledge in addition to historical environmental data. Further, we build a joint model that learns from disaster-related tweets and environmental data to improve prediction. We propose the combination of semantically-enriched word embedding to represent entities in tweets with their semantics representations computed with the traditional word2vec. Our experiments show that our proposed approach outperforms the accuracy of state-of-the-art models in disaster prediction.","lang":"eng"}],"type":"conference","publication":"K-CAP 2019: Knowledge Capture Conference","language":[{"iso":"eng"}],"keyword":["sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:simba ngonga simba zahera sherif solide limboproject opal group\\_aksw dice"],"user_id":"67234","_id":"29037","citation":{"apa":"Zahera, H. M. A., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2019). Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction. <i>K-CAP 2019: Knowledge Capture Conference</i>, 4.","mla":"Zahera, Hamada Mohamed Abdelsamee, et al. “Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction.” <i>K-CAP 2019: Knowledge Capture Conference</i>, 2019, p. 4.","bibtex":"@inproceedings{Zahera_Sherif_Ngonga Ngomo_2019, title={Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction}, booktitle={K-CAP 2019: Knowledge Capture Conference}, author={Zahera, Hamada Mohamed Abdelsamee and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2019}, pages={4} }","short":"H.M.A. Zahera, M. Sherif, A.-C. Ngonga Ngomo, in: K-CAP 2019: Knowledge Capture Conference, 2019, p. 4.","ama":"Zahera HMA, Sherif M, Ngonga Ngomo A-C. Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction. In: <i>K-CAP 2019: Knowledge Capture Conference</i>. ; 2019:4.","ieee":"H. M. A. Zahera, M. Sherif, and A.-C. Ngonga Ngomo, “Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction,” in <i>K-CAP 2019: Knowledge Capture Conference</i>, 2019, p. 4.","chicago":"Zahera, Hamada Mohamed Abdelsamee, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction.” In <i>K-CAP 2019: Knowledge Capture Conference</i>, 4, 2019."},"page":"4","year":"2019","title":"Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction","date_created":"2021-12-17T10:05:07Z","author":[{"first_name":"Hamada Mohamed Abdelsamee","last_name":"Zahera","orcid":"0000-0003-0215-1278","id":"72768","full_name":"Zahera, Hamada Mohamed Abdelsamee"},{"first_name":"Mohamed","id":"67234","full_name":"Sherif, Mohamed","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_updated":"2023-08-16T09:24:21Z"},{"year":"2019","citation":{"chicago":"Sherif, Mohamed, Svetlana Pestryakova, Kevin Dreßler, and Axel-Cyrille Ngonga Ngomo. “LimesWebUI – Link Discovery Made Simple.” In <i>18th International Semantic Web Conference (ISWC 2019)</i>. CEUR-WS.org, 2019.","ieee":"M. Sherif, S. Pestryakova, K. Dreßler, and A.-C. Ngonga Ngomo, “LimesWebUI – Link Discovery Made Simple,” 2019.","ama":"Sherif M, Pestryakova S, Dreßler K, Ngonga Ngomo A-C. LimesWebUI – Link Discovery Made Simple. In: <i>18th International Semantic Web Conference (ISWC 2019)</i>. CEUR-WS.org; 2019.","apa":"Sherif, M., Pestryakova, S., Dreßler, K., &#38; Ngonga Ngomo, A.-C. (2019). LimesWebUI – Link Discovery Made Simple. <i>18th International Semantic Web Conference (ISWC 2019)</i>.","mla":"Sherif, Mohamed, et al. “LimesWebUI – Link Discovery Made Simple.” <i>18th International Semantic Web Conference (ISWC 2019)</i>, CEUR-WS.org, 2019.","bibtex":"@inproceedings{Sherif_Pestryakova_Dreßler_Ngonga Ngomo_2019, title={LimesWebUI – Link Discovery Made Simple}, booktitle={18th International Semantic Web Conference (ISWC 2019)}, publisher={CEUR-WS.org}, author={Sherif, Mohamed and Pestryakova, Svetlana and Dreßler, Kevin and Ngonga Ngomo, Axel-Cyrille}, year={2019} }","short":"M. Sherif, S. Pestryakova, K. Dreßler, A.-C. Ngonga Ngomo, in: 18th International Semantic Web Conference (ISWC 2019), CEUR-WS.org, 2019."},"title":"LimesWebUI – Link Discovery Made Simple","date_updated":"2023-08-16T09:25:11Z","publisher":"CEUR-WS.org","date_created":"2021-12-17T09:54:17Z","author":[{"full_name":"Sherif, Mohamed","id":"67234","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif","first_name":"Mohamed"},{"full_name":"Pestryakova, Svetlana","last_name":"Pestryakova","first_name":"Svetlana"},{"first_name":"Kevin","last_name":"Dreßler","id":"78256","full_name":"Dreßler, Kevin"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"abstract":[{"lang":"eng","text":"In this paper we present LimesWebUI, our web interface of Limes. Limes, the Link Discovery Framework for Metric Spaces, is a framework for dis- covering links between entities contained in Linked Data sources. LimesWebUI assists the end user during the link discovery process. By representing the link specifications (LS) as interlocking blocks, our interface eases the manual creation of links for users who already know which LS they would like to execute. How- ever, most users do not know which LS suits their linking task best and therefore need help throughout this process. Hence, our interface provides wizards which allow the easy configuration of many link discovery machine learning algorithms, that does not require the user to enter a manual LS. We evaluate the usability of the interface by using the standard system usability scale questionnaire. Our over- all usability score of 76.5 suggests that the online interface is consistent, easy to use, and the various functions of the system are well integrated."}],"status":"public","publication":"18th International Semantic Web Conference (ISWC 2019)","type":"conference","keyword":["2019 sys:relevantFor:infai group\\_aksw simba sherif kevin ngonga Svetlana slipo limes dice sage limbo opal"],"language":[{"iso":"eng"}],"_id":"29011","user_id":"67234"},{"title":"Do your Resources Sound Similar? On the Impact of Using Phonetic Similarity in Link Discovery","date_created":"2021-12-17T10:05:09Z","author":[{"full_name":"Ahmed, Abdullah Fathi Ahmed","id":"29670","last_name":"Ahmed","first_name":"Abdullah Fathi Ahmed"},{"first_name":"Mohamed","last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203","id":"67234","full_name":"Sherif, Mohamed"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"}],"date_updated":"2023-08-16T09:35:21Z","citation":{"apa":"Ahmed, A. F. A., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2019). Do your Resources Sound Similar? On the Impact of Using Phonetic Similarity in Link Discovery. <i>K-CAP 2019: Knowledge Capture Conference</i>.","mla":"Ahmed, Abdullah Fathi Ahmed, et al. “Do Your Resources Sound Similar? On the Impact of Using Phonetic Similarity in Link Discovery.” <i>K-CAP 2019: Knowledge Capture Conference</i>, 2019.","bibtex":"@inproceedings{Ahmed_Sherif_Ngonga Ngomo_2019, title={Do your Resources Sound Similar? On the Impact of Using Phonetic Similarity in Link Discovery}, booktitle={K-CAP 2019: Knowledge Capture Conference}, author={Ahmed, Abdullah Fathi Ahmed and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2019} }","short":"A.F.A. Ahmed, M. Sherif, A.-C. Ngonga Ngomo, in: K-CAP 2019: Knowledge Capture Conference, 2019.","ieee":"A. F. A. Ahmed, M. Sherif, and A.-C. Ngonga Ngomo, “Do your Resources Sound Similar? On the Impact of Using Phonetic Similarity in Link Discovery,” 2019.","chicago":"Ahmed, Abdullah Fathi Ahmed, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “Do Your Resources Sound Similar? On the Impact of Using Phonetic Similarity in Link Discovery.” In <i>K-CAP 2019: Knowledge Capture Conference</i>, 2019.","ama":"Ahmed AFA, Sherif M, Ngonga Ngomo A-C. Do your Resources Sound Similar? On the Impact of Using Phonetic Similarity in Link Discovery. In: <i>K-CAP 2019: Knowledge Capture Conference</i>. ; 2019."},"year":"2019","language":[{"iso":"eng"}],"keyword":["sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:ngonga ahmed sherif solide limboproject opal group_aksw dice"],"user_id":"67234","_id":"29038","status":"public","abstract":[{"lang":"eng","text":"An increasing number of heterogeneous datasets abiding by the Linked Data paradigm is published everyday. Discovering links between these datasets is thus central to achieving the vision behind the Data Web. Declarative Link Discovery (LD) frameworks rely on complex Link Specification (LS) to express the conditions under which two resources should be linked. Complex LS combine similarity measures with thresholds to determine whether a given predicate holds between two resources. State of the art LD frameworks rely mostly on string-based similarity measures such as Levenshtein and Jaccard. However, string-based similarity measures often fail to catch the similarity of resources with phonetically similar property values when these property values are represented using different string representation (e.g., names and street labels). In this paper, we evaluate the impact of using phonetics-based similarities in the process of LD. Moreover, we evaluate the impact of phonetic-based similarity measures on a state-of-the-art machine learning approach used to generate LS. Our experiments suggest that the combination of string-based and phonetic-based measures can improve the Fmeasures achieved by LD frameworks on most datasets."}],"publication":"K-CAP 2019: Knowledge Capture Conference","type":"conference"},{"keyword":["2019 sys:relevantFor:infai group\\_aksw simba sherif ngonga ahmed slipo limes dice sage limbo opal"],"language":[{"iso":"eng"}],"_id":"29012","user_id":"67234","abstract":[{"lang":"eng","text":"An increasing number and size of datasets abiding by the Linked Data paradigm are published everyday. Discovering links between these datasets is thus central to achieve the vision behind the Data Web. Declarative Link Discovery (LD) frameworks rely on complex Link Specification (LS) to express the conditions under which two resources should be linked. Understanding such LS is not a trivial task for non-expert users, particularly when such users are interested in generating LS to match their needs. Even if the user applies a machine learning algorithm for the automatic generation of the required LS, the challenge of explaining the resultant LS persists. Hence, providing explainable LS is the key challenge to enable users who are unfamiliar with underlying LS technologies to use them effectively and efficiently. In this paper, we address this problem by proposing a generic approach that allows a LS to be verbalized, i.e., converted into understandable natural language. We propose a summarization approach to the verbalized LS based on the selectivity of the underlying LS. Our adequacy and fluency evaluations show that our approach can generate complete and easily understandable natural language descriptions even by lay users."}],"status":"public","type":"conference","publication":"24th International Conference on Applications of Natural Language to Information Systems (NLDB 2019)","title":"LSVS: Link Specification Verbalization and Summarization","date_updated":"2023-08-16T10:06:20Z","publisher":"Springer","author":[{"first_name":"Abdullah ","last_name":"Fathi Ahmed","full_name":"Fathi Ahmed, Abdullah "},{"first_name":"Mohamed","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif","full_name":"Sherif, Mohamed","id":"67234"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_created":"2021-12-17T09:54:40Z","year":"2019","citation":{"mla":"Fathi Ahmed, Abdullah, et al. “LSVS: Link Specification Verbalization and Summarization.” <i>24th International Conference on Applications of Natural Language to Information Systems (NLDB 2019)</i>, Springer, 2019.","bibtex":"@inproceedings{Fathi Ahmed_Sherif_Ngonga Ngomo_2019, title={LSVS: Link Specification Verbalization and Summarization}, booktitle={24th International Conference on Applications of Natural Language to Information Systems (NLDB 2019)}, publisher={Springer}, author={Fathi Ahmed, Abdullah  and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2019} }","short":"A. Fathi Ahmed, M. Sherif, A.-C. Ngonga Ngomo, in: 24th International Conference on Applications of Natural Language to Information Systems (NLDB 2019), Springer, 2019.","apa":"Fathi Ahmed, A., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2019). LSVS: Link Specification Verbalization and Summarization. <i>24th International Conference on Applications of Natural Language to Information Systems (NLDB 2019)</i>.","ama":"Fathi Ahmed A, Sherif M, Ngonga Ngomo A-C. LSVS: Link Specification Verbalization and Summarization. In: <i>24th International Conference on Applications of Natural Language to Information Systems (NLDB 2019)</i>. Springer; 2019.","chicago":"Fathi Ahmed, Abdullah , Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “LSVS: Link Specification Verbalization and Summarization.” In <i>24th International Conference on Applications of Natural Language to Information Systems (NLDB 2019)</i>. Springer, 2019.","ieee":"A. Fathi Ahmed, M. Sherif, and A.-C. Ngonga Ngomo, “LSVS: Link Specification Verbalization and Summarization,” 2019."}},{"citation":{"ama":"Athanasiou S, Giorgos G, Damien G, et al. Big POI data integration with Linked Data technologies. In: <i>International Conference on Extending Database Technology 2019, EDBT19</i>. ; 2019.","ieee":"S. Athanasiou <i>et al.</i>, “Big POI data integration with Linked Data technologies,” 2019.","chicago":"Athanasiou, Spiros, Giannopoulos Giorgos, Graux Damien, Karagiannakis Nikos, Lehmann Jens, Axel-Cyrille Ngonga Ngomo, Patroumpas Kostas, Mohamed Sherif, and Dimitrios Skoutas. “Big POI Data Integration with Linked Data Technologies.” In <i>International Conference on Extending Database Technology 2019, EDBT19</i>, 2019.","apa":"Athanasiou, S., Giorgos, G., Damien, G., Nikos, K., Jens, L., Ngonga Ngomo, A.-C., Kostas, P., Sherif, M., &#38; Skoutas, D. (2019). Big POI data integration with Linked Data technologies. <i>International Conference on Extending Database Technology 2019, EDBT19</i>.","mla":"Athanasiou, Spiros, et al. “Big POI Data Integration with Linked Data Technologies.” <i>International Conference on Extending Database Technology 2019, EDBT19</i>, 2019.","bibtex":"@inproceedings{Athanasiou_Giorgos_Damien_Nikos_Jens_Ngonga Ngomo_Kostas_Sherif_Skoutas_2019, title={Big POI data integration with Linked Data technologies}, booktitle={International Conference on Extending Database Technology 2019, EDBT19}, author={Athanasiou, Spiros and Giorgos, Giannopoulos and Damien, Graux and Nikos, Karagiannakis and Jens, Lehmann and Ngonga Ngomo, Axel-Cyrille and Kostas, Patroumpas and Sherif, Mohamed and Skoutas, Dimitrios}, year={2019} }","short":"S. Athanasiou, G. Giorgos, G. Damien, K. Nikos, L. Jens, A.-C. Ngonga Ngomo, P. Kostas, M. Sherif, D. Skoutas, in: International Conference on Extending Database Technology 2019, EDBT19, 2019."},"year":"2019","date_created":"2021-12-17T09:54:54Z","author":[{"first_name":"Spiros","full_name":"Athanasiou, Spiros","last_name":"Athanasiou"},{"full_name":"Giorgos, Giannopoulos","last_name":"Giorgos","first_name":"Giannopoulos"},{"last_name":"Damien","full_name":"Damien, Graux","first_name":"Graux"},{"last_name":"Nikos","full_name":"Nikos, Karagiannakis","first_name":"Karagiannakis"},{"full_name":"Jens, Lehmann","last_name":"Jens","first_name":"Lehmann"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"},{"last_name":"Kostas","full_name":"Kostas, Patroumpas","first_name":"Patroumpas"},{"first_name":"Mohamed","id":"67234","full_name":"Sherif, Mohamed","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif"},{"full_name":"Skoutas, Dimitrios","last_name":"Skoutas","first_name":"Dimitrios"}],"date_updated":"2023-08-16T10:29:26Z","title":"Big POI data integration with Linked Data technologies","publication":"International Conference on Extending Database Technology 2019, EDBT19","type":"conference","status":"public","abstract":[{"lang":"eng","text":"Point of Interest (POI) data constitute the cornerstone of any application, service or product even remotely related to our physical surroundings. From navigation applications to social networks, tourism, and logistics, we use POI data to search, communicate, decide and plan our actions. POIs are semantically diverse and spatio-temporally evolving entities, having geographical, temporal and thematic relations. Currently, integrating POI data to increase their coverage, timeliness, accuracy and value is a resource-intensive and mostly manual process, with no specialized software available to address the specific challenges of this task. In this paper, we present an integrated toolkit for transforming, linking, fusing and enriching POI data, and extracting additional value from them. In particular, we demonstrate how Linked Data technologies can address the limitations, gaps and challenges of the current landscape in Big POI data integration. We have built a prototype application that enables users to define, manage and execute scalable POI data integration workflows built on top of state-of-the-art software for geospatial Linked Data. The application abstracts and hides away the underlying complexity, automates quality-assured integration, scales efficiently for world-scale integration tasks and lowers the entry barrier for end-users. Validated against real-world POI datasets in several application domains, our system has shown great potential to address the requirements and needs of cross-sector, cross-border and cross-lingual integration of Big POI data."}],"user_id":"67234","_id":"29013","language":[{"iso":"eng"}],"keyword":["2019 sys:relevantFor:infai group\\_aksw simba sherif ngonga lehmann slipo limes dice deer"]},{"year":"2019","title":"QUANT - Question Answering Benchmark Curator","date_created":"2024-10-10T14:25:00Z","publisher":"Springer International Publishing","file":[{"access_level":"closed","file_name":"Gusmita_et_al-2019-Semantic_Systems._The_Power_of_AI_and_Knowledge_Graphs,_15th_International....pdf","file_id":"57244","file_size":1179910,"creator":"gusmita","date_created":"2024-11-19T15:28:45Z","date_updated":"2024-11-19T15:28:45Z","relation":"main_file","success":1,"content_type":"application/pdf"}],"abstract":[{"text":"Question answering engines have become one of the most popular type of applications driven by Semantic Web technologies. Consequently, the provision of means to quantify the performance of current question answering approaches on current datasets has become ever more important. However, a large percentage of the queries found in popular question answering benchmarks cannot be executed on current versions of their reference dataset. There is a consequently a clear need to curate question answering benchmarks periodically. However, the manual alteration of question answering benchmarks is often error-prone. We alleviate this problem by presenting QUANT, a novel framework for the creation and curation of question answering benchmarks. QUANT sup-ports the curation of benchmarks by generating smart edit suggestions for question-query pair and for the corresponding metadata. In addition, our framework supports the creation of new benchmark entries by pro-viding predefined quality checks for queries. We evaluate QUANT on 653questions obtained from QALD-1 to QALD-8 with 10 users. Our results show that our framework generates reliable suggestions and can reduce the curation effort for QA benchmarks by up to 91%.","lang":"eng"}],"publication":"Semantic Systems. The Power of AI and Knowledge Graphs","language":[{"iso":"eng"}],"ddc":["004"],"keyword":["Benchmark","Question answering","Knowledge base"],"citation":{"apa":"Gusmita, R. H., Jalota, R., Vollmers, D., Reineke, J., Ngonga Ngomo, A.-C., &#38; Usbeck, R. (2019). QUANT - Question Answering Benchmark Curator. In M. Acosta, P. Cudr{\\’e}-Mauroux, M. Maleshkova, T. Pellegrini, H. Sack, &#38; Y. Sure-Vetter (Eds.), <i>Semantic Systems. The Power of AI and Knowledge Graphs</i> (pp. 343--358). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-33220-4_25\">https://doi.org/10.1007/978-3-030-33220-4_25</a>","short":"R.H. Gusmita, R. Jalota, D. Vollmers, J. Reineke, A.-C. Ngonga Ngomo, R. Usbeck, in: M. Acosta, P. Cudr{\\’e}-Mauroux, M. Maleshkova, T. Pellegrini, H. Sack, Y. Sure-Vetter (Eds.), Semantic Systems. The Power of AI and Knowledge Graphs, Springer International Publishing, Cham, 2019, pp. 343--358.","mla":"Gusmita, Ria Hari, et al. “QUANT - Question Answering Benchmark Curator.” <i>Semantic Systems. The Power of AI and Knowledge Graphs</i>, edited by Maribel Acosta et al., Springer International Publishing, 2019, pp. 343--358, doi:<a href=\"https://doi.org/10.1007/978-3-030-33220-4_25\">10.1007/978-3-030-33220-4_25</a>.","bibtex":"@inbook{Gusmita_Jalota_Vollmers_Reineke_Ngonga Ngomo_Usbeck_2019, place={Cham}, title={QUANT - Question Answering Benchmark Curator}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-33220-4_25\">10.1007/978-3-030-33220-4_25</a>}, booktitle={Semantic Systems. The Power of AI and Knowledge Graphs}, publisher={Springer International Publishing}, author={Gusmita, Ria Hari and Jalota, Rricha and Vollmers, Daniel and Reineke, Jan and Ngonga Ngomo, Axel-Cyrille and Usbeck, Ricardo}, editor={Acosta, Maribel and Cudr{\\’e}-Mauroux, Philippe and Maleshkova, Maria and Pellegrini, Tassilo and Sack, Harald and Sure-Vetter, York}, year={2019}, pages={343--358} }","chicago":"Gusmita, Ria Hari, Rricha Jalota, Daniel Vollmers, Jan Reineke, Axel-Cyrille Ngonga Ngomo, and Ricardo Usbeck. “QUANT - Question Answering Benchmark Curator.” In <i>Semantic Systems. The Power of AI and Knowledge Graphs</i>, edited by Maribel Acosta, Philippe Cudr{\\’e}-Mauroux, Maria Maleshkova, Tassilo Pellegrini, Harald Sack, and York Sure-Vetter, 343--358. Cham: Springer International Publishing, 2019. <a href=\"https://doi.org/10.1007/978-3-030-33220-4_25\">https://doi.org/10.1007/978-3-030-33220-4_25</a>.","ieee":"R. H. Gusmita, R. Jalota, D. Vollmers, J. Reineke, A.-C. Ngonga Ngomo, and R. Usbeck, “QUANT - Question Answering Benchmark Curator,” in <i>Semantic Systems. The Power of AI and Knowledge Graphs</i>, M. Acosta, P. Cudr{\\’e}-Mauroux, M. Maleshkova, T. Pellegrini, H. Sack, and Y. Sure-Vetter, Eds. Cham: Springer International Publishing, 2019, pp. 343--358.","ama":"Gusmita RH, Jalota R, Vollmers D, Reineke J, Ngonga Ngomo A-C, Usbeck R. QUANT - Question Answering Benchmark Curator. In: Acosta M, Cudr{\\’e}-Mauroux P, Maleshkova M, Pellegrini T, Sack H, Sure-Vetter Y, eds. <i>Semantic Systems. The Power of AI and Knowledge Graphs</i>. Springer International Publishing; 2019:343--358. doi:<a href=\"https://doi.org/10.1007/978-3-030-33220-4_25\">10.1007/978-3-030-33220-4_25</a>"},"page":"343--358","place":"Cham","publication_status":"published","publication_identifier":{"eisbn":["978-3-030-33220-4"],"issn":["0302-9743","1611-3349"],"isbn":["978-3-030-33219-8"]},"has_accepted_license":"1","main_file_link":[{"open_access":"1","url":"https://rdcu.be/d0KJc"}],"conference":{"location":"Karlsruhe, Germany","end_date":"2019-09-12","start_date":"2019-09-09","name":"SEMANTiCS 2019"},"doi":"10.1007/978-3-030-33220-4_25","author":[{"first_name":"Ria Hari","full_name":"Gusmita, Ria Hari","id":"71039","last_name":"Gusmita"},{"last_name":"Jalota","full_name":"Jalota, Rricha","first_name":"Rricha"},{"first_name":"Daniel","full_name":"Vollmers, Daniel","last_name":"Vollmers"},{"first_name":"Jan","full_name":"Reineke, Jan","last_name":"Reineke"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"},{"last_name":"Usbeck","full_name":"Usbeck, Ricardo","first_name":"Ricardo"}],"oa":"1","date_updated":"2024-11-19T15:34:24Z","status":"public","editor":[{"full_name":"Acosta, Maribel","last_name":"Acosta","first_name":"Maribel"},{"first_name":"Philippe","full_name":"Cudr{\\'e}-Mauroux, Philippe","last_name":"Cudr{\\'e}-Mauroux"},{"last_name":"Maleshkova","full_name":"Maleshkova, Maria","first_name":"Maria"},{"first_name":"Tassilo","last_name":"Pellegrini","full_name":"Pellegrini, Tassilo"},{"full_name":"Sack, Harald","last_name":"Sack","first_name":"Harald"},{"first_name":"York","last_name":"Sure-Vetter","full_name":"Sure-Vetter, York"}],"type":"book_chapter","file_date_updated":"2024-11-19T15:28:45Z","user_id":"71039","_id":"56579"},{"year":"2019","intvolume":"      2456","page":"201–204","citation":{"ama":"Syed ZH, Srivastava N, Röder M, Ngonga Ngomo A-C. COPAAL – An Interface for Explaining Facts using Corroborative Paths. In: Suárez-Figueroa MC, Cheng G, Gentile AL, Guéret C, Keet M, Bernstein A, eds. <i>Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas)</i>. Vol 2456. Springer International Publishing; 2019:201–204.","chicago":"Syed, Zafar Habeeb, Nikit Srivastava, Michael Röder, and Axel-Cyrille Ngonga Ngomo. “COPAAL – An Interface for Explaining Facts Using Corroborative Paths.” In <i>Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas)</i>, edited by Mari Carmen Suárez-Figueroa, Gong Cheng, Anna Lisa Gentile, Christophe Guéret, Maria Keet, and Abraham Bernstein, 2456:201–204. Springer International Publishing, 2019.","ieee":"Z. H. Syed, N. Srivastava, M. Röder, and A.-C. Ngonga Ngomo, “COPAAL – An Interface for Explaining Facts using Corroborative Paths,” in <i>Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas)</i>, 2019, vol. 2456, pp. 201–204.","apa":"Syed, Z. H., Srivastava, N., Röder, M., &#38; Ngonga Ngomo, A.-C. (2019). COPAAL – An Interface for Explaining Facts using Corroborative Paths. In M. C. Suárez-Figueroa, G. Cheng, A. L. Gentile, C. Guéret, M. Keet, &#38; A. Bernstein (Eds.), <i>Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas)</i> (Vol. 2456, pp. 201–204). Springer International Publishing.","mla":"Syed, Zafar Habeeb, et al. “COPAAL – An Interface for Explaining Facts Using Corroborative Paths.” <i>Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas)</i>, edited by Mari Carmen Suárez-Figueroa et al., vol. 2456, Springer International Publishing, 2019, pp. 201–204.","short":"Z.H. Syed, N. Srivastava, M. Röder, A.-C. Ngonga Ngomo, in: M.C. Suárez-Figueroa, G. Cheng, A.L. Gentile, C. Guéret, M. Keet, A. Bernstein (Eds.), Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas), Springer International Publishing, 2019, pp. 201–204.","bibtex":"@inproceedings{Syed_Srivastava_Röder_Ngonga Ngomo_2019, title={COPAAL – An Interface for Explaining Facts using Corroborative Paths}, volume={2456}, booktitle={Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas)}, publisher={Springer International Publishing}, author={Syed, Zafar Habeeb and Srivastava, Nikit and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}, editor={Suárez-Figueroa, Mari Carmen and Cheng, Gong and Gentile, Anna Lisa and Guéret, Christophe and Keet, Maria and Bernstein, Abraham}, year={2019}, pages={201–204} }"},"date_updated":"2024-11-20T10:52:37Z","publisher":"Springer International Publishing","volume":2456,"date_created":"2024-11-20T10:45:12Z","author":[{"full_name":"Syed, Zafar Habeeb","last_name":"Syed","first_name":"Zafar Habeeb"},{"last_name":"Srivastava","orcid":"0009-0004-5164-4911","id":"70066","full_name":"Srivastava, Nikit","first_name":"Nikit"},{"id":"67199","full_name":"Röder, Michael","orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder","first_name":"Michael"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"title":"COPAAL – An Interface for Explaining Facts using Corroborative Paths","publication":"Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas)","type":"conference","editor":[{"first_name":"Mari Carmen","last_name":"Suárez-Figueroa","full_name":"Suárez-Figueroa, Mari Carmen"},{"full_name":"Cheng, Gong","last_name":"Cheng","first_name":"Gong"},{"first_name":"Anna Lisa","full_name":"Gentile, Anna Lisa","last_name":"Gentile"},{"first_name":"Christophe","full_name":"Guéret, Christophe","last_name":"Guéret"},{"first_name":"Maria","last_name":"Keet","full_name":"Keet, Maria"},{"first_name":"Abraham","last_name":"Bernstein","full_name":"Bernstein, Abraham"}],"status":"public","_id":"57287","user_id":"70066","keyword":["dice group_aksw ngonga roeder srivastava syed"],"language":[{"iso":"eng"}]},{"date_updated":"2024-11-20T10:53:14Z","publisher":"SAGE Publications","date_created":"2024-11-20T10:44:54Z","author":[{"first_name":"Rricha","id":"69526","full_name":"Jalota, Rricha","last_name":"Jalota"},{"first_name":"Nikit","orcid":"0009-0004-5164-4911","last_name":"Srivastava","id":"70066","full_name":"Srivastava, Nikit"},{"last_name":"Vollmers","full_name":"Vollmers, Daniel","first_name":"Daniel"},{"id":"70843","full_name":"Speck, René","last_name":"Speck","first_name":"René"},{"first_name":"Michael","full_name":"Röder, Michael","id":"67199","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277"},{"first_name":"Ricardo","full_name":"Usbeck, Ricardo","last_name":"Usbeck"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"title":"Finding Datasets in Publications: The University of Paderborn Approach","year":"2019","citation":{"bibtex":"@inbook{Jalota_Srivastava_Vollmers_Speck_Röder_Usbeck_Ngonga Ngomo_2019, title={Finding Datasets in Publications: The University of Paderborn Approach}, booktitle={Rich Search and Discovery for Research Datasets}, publisher={SAGE Publications}, author={Jalota, Rricha and Srivastava, Nikit and Vollmers, Daniel and Speck, René and Röder, Michael and Usbeck, Ricardo and Ngonga Ngomo, Axel-Cyrille}, year={2019} }","mla":"Jalota, Rricha, et al. “Finding Datasets in Publications: The University of Paderborn Approach.” <i>Rich Search and Discovery for Research Datasets</i>, SAGE Publications, 2019.","short":"R. Jalota, N. Srivastava, D. Vollmers, R. Speck, M. Röder, R. Usbeck, A.-C. Ngonga Ngomo, in: Rich Search and Discovery for Research Datasets, SAGE Publications, 2019.","apa":"Jalota, R., Srivastava, N., Vollmers, D., Speck, R., Röder, M., Usbeck, R., &#38; Ngonga Ngomo, A.-C. (2019). Finding Datasets in Publications: The University of Paderborn Approach. In <i>Rich Search and Discovery for Research Datasets</i>. SAGE Publications.","chicago":"Jalota, Rricha, Nikit Srivastava, Daniel Vollmers, René Speck, Michael Röder, Ricardo Usbeck, and Axel-Cyrille Ngonga Ngomo. “Finding Datasets in Publications: The University of Paderborn Approach.” In <i>Rich Search and Discovery for Research Datasets</i>. SAGE Publications, 2019.","ieee":"R. Jalota <i>et al.</i>, “Finding Datasets in Publications: The University of Paderborn Approach,” in <i>Rich Search and Discovery for Research Datasets</i>, SAGE Publications, 2019.","ama":"Jalota R, Srivastava N, Vollmers D, et al. Finding Datasets in Publications: The University of Paderborn Approach. In: <i>Rich Search and Discovery for Research Datasets</i>. SAGE Publications; 2019."},"_id":"57286","user_id":"70066","keyword":["dice jalota ngonga roeder speck srivastava vollmers"],"language":[{"iso":"eng"}],"publication":"Rich Search and Discovery for Research Datasets","type":"book_chapter","status":"public"},{"_id":"26589","user_id":"15526","language":[{"iso":"eng"}],"type":"journal_article","publication":"Semantic Web","status":"public","date_updated":"2022-01-06T06:57:22Z","author":[{"last_name":"Ahmed Sherif","full_name":"Ahmed Sherif, Mohamed","first_name":"Mohamed"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"}],"date_created":"2021-10-19T21:03:15Z","volume":9,"title":"A systematic survey of point set distance measures for link discovery","doi":"10.3233/SW-170285","issue":"5","year":"2018","citation":{"mla":"Ahmed Sherif, Mohamed, and Axel-Cyrille Ngonga Ngomo. “A Systematic Survey of Point Set Distance Measures for Link Discovery.” <i>Semantic Web</i>, vol. 9, no. 5, 2018, pp. 589–604, doi:<a href=\"https://doi.org/10.3233/SW-170285\">10.3233/SW-170285</a>.","bibtex":"@article{Ahmed Sherif_Ngonga Ngomo_2018, title={A systematic survey of point set distance measures for link discovery}, volume={9}, DOI={<a href=\"https://doi.org/10.3233/SW-170285\">10.3233/SW-170285</a>}, number={5}, journal={Semantic Web}, author={Ahmed Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2018}, pages={589–604} }","short":"M. Ahmed Sherif, A.-C. Ngonga Ngomo, Semantic Web 9 (2018) 589–604.","apa":"Ahmed Sherif, M., &#38; Ngonga Ngomo, A.-C. (2018). A systematic survey of point set distance measures for link discovery. <i>Semantic Web</i>, <i>9</i>(5), 589–604. <a href=\"https://doi.org/10.3233/SW-170285\">https://doi.org/10.3233/SW-170285</a>","ama":"Ahmed Sherif M, Ngonga Ngomo A-C. A systematic survey of point set distance measures for link discovery. <i>Semantic Web</i>. 2018;9(5):589-604. doi:<a href=\"https://doi.org/10.3233/SW-170285\">10.3233/SW-170285</a>","chicago":"Ahmed Sherif, Mohamed, and Axel-Cyrille Ngonga Ngomo. “A Systematic Survey of Point Set Distance Measures for Link Discovery.” <i>Semantic Web</i> 9, no. 5 (2018): 589–604. <a href=\"https://doi.org/10.3233/SW-170285\">https://doi.org/10.3233/SW-170285</a>.","ieee":"M. Ahmed Sherif and A.-C. Ngonga Ngomo, “A systematic survey of point set distance measures for link discovery,” <i>Semantic Web</i>, vol. 9, no. 5, pp. 589–604, 2018, doi: <a href=\"https://doi.org/10.3233/SW-170285\">10.3233/SW-170285</a>."},"page":"589-604","intvolume":"         9"},{"user_id":"15526","_id":"26590","language":[{"iso":"eng"}],"publication":"Semantic Web","type":"journal_article","status":"public","volume":9,"author":[{"first_name":"Michael","full_name":"Röder, Michael","last_name":"Röder"},{"first_name":"Ricardo","full_name":"Usbeck, Ricardo","last_name":"Usbeck"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"}],"date_created":"2021-10-19T21:03:58Z","date_updated":"2022-01-06T06:57:22Z","doi":"10.3233/SW-170286","title":"GERBIL - Benchmarking Named Entity Recognition and Linking consistently","issue":"5","page":"605-625","intvolume":"         9","citation":{"apa":"Röder, M., Usbeck, R., &#38; Ngonga Ngomo, A.-C. (2018). GERBIL - Benchmarking Named Entity Recognition and Linking consistently. <i>Semantic Web</i>, <i>9</i>(5), 605–625. <a href=\"https://doi.org/10.3233/SW-170286\">https://doi.org/10.3233/SW-170286</a>","mla":"Röder, Michael, et al. “GERBIL - Benchmarking Named Entity Recognition and Linking Consistently.” <i>Semantic Web</i>, vol. 9, no. 5, 2018, pp. 605–25, doi:<a href=\"https://doi.org/10.3233/SW-170286\">10.3233/SW-170286</a>.","short":"M. Röder, R. Usbeck, A.-C. Ngonga Ngomo, Semantic Web 9 (2018) 605–625.","bibtex":"@article{Röder_Usbeck_Ngonga Ngomo_2018, title={GERBIL - Benchmarking Named Entity Recognition and Linking consistently}, volume={9}, DOI={<a href=\"https://doi.org/10.3233/SW-170286\">10.3233/SW-170286</a>}, number={5}, journal={Semantic Web}, author={Röder, Michael and Usbeck, Ricardo and Ngonga Ngomo, Axel-Cyrille}, year={2018}, pages={605–625} }","ama":"Röder M, Usbeck R, Ngonga Ngomo A-C. GERBIL - Benchmarking Named Entity Recognition and Linking consistently. <i>Semantic Web</i>. 2018;9(5):605-625. doi:<a href=\"https://doi.org/10.3233/SW-170286\">10.3233/SW-170286</a>","ieee":"M. Röder, R. Usbeck, and A.-C. Ngonga Ngomo, “GERBIL - Benchmarking Named Entity Recognition and Linking consistently,” <i>Semantic Web</i>, vol. 9, no. 5, pp. 605–625, 2018, doi: <a href=\"https://doi.org/10.3233/SW-170286\">10.3233/SW-170286</a>.","chicago":"Röder, Michael, Ricardo Usbeck, and Axel-Cyrille Ngonga Ngomo. “GERBIL - Benchmarking Named Entity Recognition and Linking Consistently.” <i>Semantic Web</i> 9, no. 5 (2018): 605–25. <a href=\"https://doi.org/10.3233/SW-170286\">https://doi.org/10.3233/SW-170286</a>."},"year":"2018"},{"status":"public","publication":"J. Web Semant.","type":"journal_article","language":[{"iso":"eng"}],"user_id":"15526","_id":"26591","intvolume":"        48","page":"85-125","citation":{"ama":"Saleem M, Hasnain A, Ngonga Ngomo A-C. LargeRDFBench: A billion triples benchmark for SPARQL endpoint federation. <i>J Web Semant</i>. 2018;48:85-125. doi:<a href=\"https://doi.org/10.1016/j.websem.2017.12.005\">10.1016/j.websem.2017.12.005</a>","ieee":"M. Saleem, A. Hasnain, and A.-C. Ngonga Ngomo, “LargeRDFBench: A billion triples benchmark for SPARQL endpoint federation,” <i>J. Web Semant.</i>, vol. 48, pp. 85–125, 2018, doi: <a href=\"https://doi.org/10.1016/j.websem.2017.12.005\">10.1016/j.websem.2017.12.005</a>.","chicago":"Saleem, Muhammad, Ali Hasnain, and Axel-Cyrille Ngonga Ngomo. “LargeRDFBench: A Billion Triples Benchmark for SPARQL Endpoint Federation.” <i>J. Web Semant.</i> 48 (2018): 85–125. <a href=\"https://doi.org/10.1016/j.websem.2017.12.005\">https://doi.org/10.1016/j.websem.2017.12.005</a>.","short":"M. Saleem, A. Hasnain, A.-C. Ngonga Ngomo, J. 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