Publikationen der Abteilung Data Science and Digital Libraries

Weitere Informationen zu den Publikationen der Abteilung finden sich auch im Forschungsinformationssystem der Leibniz Universität Hannover, bei DBLP oder Google Scholar.  


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2017


Kumar AJ, Auer S, Schmidt C, köhler J. Towards a Knowledge Graph based Speech Interface. in Proceedings of the First International Workshop on Grounding Language Understanding (GLU 2017): Aug 25, 2017, Stockholm, Sweden / KTH Computer Science and Communication ; Giampiero Salvi and Stéphane Dupont [chairs] . Stockholm: KTH Royal Institute of Technology. 2017. S. 8-12 doi.org/10.21437/GLU.2017-2

Kumar AJ, Morales C, Vidal M-E, Schmidt C, Auer S. Use of Knowledge Graph in Rescoring the N-Best List in Automatic Speech Recognition. 2017 Mai 22.

Lehmann J, Auer S, Capadisli S, Janowicz K, Bizer C, Heath T et al. LDOW2017: 10th Workshop on linked data on the web. in 26th International World Wide Web Conference 2017: WWW 2017 Companion. International World Wide Web Conferences Steering Committee. 2017. S. 1679-1680 doi.org/10.1145/3041021.3055510

Lukovnikov D, Fischer A, Lehmann J, Auer S. Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level. in WWW '17: Proceedings of the 26th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee. 2017. S. 1211-1220 doi.org/10.1145/3038912.3052675

Marx E, Baron C, Soru T, Auer S. KBox-Transparently Shifting Query Execution on Knowledge Graphs to the Edge. in IEEE 11th International Conference on Semantic Computing, ICSC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. S. 125-132 doi.org/10.1109/ICSC.2017.77

Marx E, Shekarpour S, Soru T, Brasoveanu AMP, Saleem M, Baron C et al. Torpedo: Improving the State-of-the-Art RDF Dataset Slicing. in IEEE 11th International Conference on Semantic Computing, ICSC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. S. 149-156 doi.org/10.1109/ICSC.2017.79

Morales C, Collarana D, Vidal ME, Auer S. MateTee: A semantic similarity metric based on translation embeddings for knowledge graphs. in Cabot J, De Virgilio R, Torlone R, Hrsg., Web Engineering: 17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings. Springer Verlag. 2017. S. 246-263. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi.org/10.1007/978-3-319-60131-1_14

Nejad NM, Scerri S, Auer S. Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation. in Hoekstra R, de Boer V, Pellegrini T, Hoekstra R, Faron-Zucker C, Hrsg., Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM). 2017. S. 144-151 doi.org/10.1145/3132218.3132224

Petersen N, Halilaj L, Grangel-Gonzalez I, Auer S. Realizing an RDF-based information model for a manufacturing company: a case study 350. in The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II. Cham: Springer Nature. 2017. S. 350-366 doi.org/10.1007/978-3-319-68204-4

Petersen N, Halilaj L, Grangel-González I, Lohmann S, Lange C, Auer S. Realizing an RDF-based information model for, a manufacturing company – A case study. in Fernandez M, d’Amato C, Tamma V, Cudre-Mauroux P, Lecue F, Lange C, Sequeda J, Heflin J, Hrsg., The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II. Cham: Springer Verlag. 2017. S. 350-366. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi.org/10.1007/978-3-319-68204-4_31

Rautenberg S, Marx E, Gomes Filho AC, Auer S. Apoiando estudos cientométricos com linked open data. Perspectivas em Ciencia da Informacao. 2017 Okt 1;22(4):47-67. doi.org/10.1590/1981-5344/2817

Rautenberg S, Ermilov I, Marx E, Auer S. LDWPO: A lightweight ontology for linked data management. in Proceedings of the IX ONTOBRAS Brazilian Ontology Research Seminar: Curitiba, Brazil, October 3rd, 2016. CEUR WS. 2017. S. 59-70. (CEUR Workshop Proceedings).

Sadeghi A, Lange C, Vidal ME, Auer S. Integration of scholarly communication metadata using knowledge graphs. in Manolopoulos Y, Kamps J, Tsakonas G, Iliadis L, Karydis I, Hrsg., Research and Advanced Technology for Digital Libraries: 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Thessaloniki, Greece, September 18-21, 2017, Proceedings. Cham: Springer Verlag. 2017. S. 328-341. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi.org/10.1007/978-3-319-67008-9_26

Shekarpour S, Marx E, Auer S, Sheth A. RQUERY: Rewriting natural language queries on knowledge graphs to alleviate the vocabulary mismatch problem. in Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, Twenty-Ninth Innovative Applications of Artificial Intelligence Conference, Seventh Symposium on Educational Advances in Artificial Intelligence: 4-9 February 2017, San Francisco, California, USA / AAAI-17 San Francisco ; sponsored by the Association for the Advancement of Artificial Intelligence. Palo Alto: AAAI Press/International Joint Conferences on Artificial Intelligence. 2017. S. 3936-3943

Sibarani EM, Scerri S, Morales C, Auer S, Collarana D. Ontology-guided job market demand analysis: A cross-sectional study for the data science field. in Hoekstra R, Pellegrini T, Hoekstra R, de Boer V, Faron-Zucker C, Hrsg., Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM). 2017. S. 25-32 doi.org/10.1145/3132218.3132228

Singh K, Mulang IO, Lytra I, Jaradeh MY, Sakor A, Vidal ME et al. Capturing knowledge in semantically-typed relational patterns to enhance relation linking. in K-CAP 2017: Proceedings of the Knowledge Capture Conference. New York: Association for Computing Machinery, Inc. 2017. S. 1-8. 31 doi.org/10.1145/3148011.3148031

Singh K, Lytra I, Vidal ME, Punjani D, Thakkar H, Lange C et al. QAestro: Semantic-Based Composition of Question Answering Pipelines. in Benslimane D, Sheth A, Damiani E, Hameurlain A, Grosky WI, Wagner RR, Hrsg., Database and Expert Systems Applications: 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I. Cham: Springer Verlag. 2017. S. 19-34. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi.org/10.1007/978-3-319-64468-4_2

Thakkar H, Punjani D, Auer S, Vidal ME. Towards an integrated graph algebra for graph pattern matching with gremlin. in Benslimane D, Sheth A, Damiani E, Hameurlain A, Grosky WI, Wagner RR, Hrsg., Database and Expert Systems Applications: 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I. Cham: Springer International Publishing AG. 2017. S. 81-91. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi.org/10.1007/978-3-319-64468-4_6

Thakkar H, Keswani Y, Dubey M, Lehmann J, Auer S. Trying not to die benchmarking: Orchestrating RDF and graph data management solution benchmarks using LITMUS. in Hoekstra R, de Boer V, Pellegrini T, Hoekstra R, Faron-Zucker C, Hrsg., Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM). 2017. S. 120-127 doi.org/10.1145/3132218.3132232

Wiens V, Lohmann S, Auer S. Semantic zooming for ontology graph visualizations. in K-CAP 2017: Proceedings of the Knowledge Capture Conference. New York: Association for Computing Machinery, Inc. 2017. S. 1-8. 4 doi.org/10.1145/3148011.3148015


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