Publications of the department Data Science and Digital Libraries

Further information on the department's publications can also be found in the Research information system of Leibniz Universität Hannover, at DBLP or Google Scholar.  

Showing results 201 - 220 out of 401

2017


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. p. 125-132 doi: 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. p. 149-156 doi: 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, editors, Web Engineering: 17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings. Springer Verlag. 2017. p. 246-263. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 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, editors, Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM). 2017. p. 144-151 doi: 10.1145/3132218.3132224
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 350. In Fernandez M, d’Amato C, Tamma V, Cudre-Mauroux P, Lecue F, Lange C, Sequeda J, Heflin J, editors, The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II. Cham: Springer Verlag. 2017. p. 350-366. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 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 Oct 1;22(4):47-67. doi: 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 Workshop. 2017. p. 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, editors, 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. p. 328-341. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 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. p. 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, editors, Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM). 2017. p. 25-32 doi: 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. p. 1-8. 31 doi: 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, editors, Database and Expert Systems Applications: 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I. Cham: Springer Verlag. 2017. p. 19-34. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 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, editors, 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. p. 81-91. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 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, editors, Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM). 2017. p. 120-127 doi: 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. p. 1-8. 4 doi: 10.1145/3148011.3148015

2016


Abramowicz W, Auer S, Heath T. Linked data in business. Business and Information Systems Engineering. 2016 Aug 15;58(5):323-326. doi: 10.1007/s12599-016-0446-0
Attard J, Orlandi F, Auer S. Data driven governments: Creating value through open government data. In Kalisch D, Hameurlain A, Hung PCK, Sobolevsky S, Anjomshoaa A, Küng J, Wagner R, editors, Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVII: Special Issue on Big Data for Complex Urban Systems. Berlin: Springer Verlag. 2016. p. 84-110. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-662-53416-8_6
Attard J, Orlandi F, Auer S. Value creation on open government data. In Sprague RH, Bui TX, editors, 2016 49th Hawaii International Conference on System Sciences (HICSS). IEEE Computer Society. 2016. p. 2605-2614. (Proceedings of the Annual Hawaii International Conference on System Sciences). doi: 10.1109/HICSS.2016.326
Auer S. Interview with frank Van Harmelen on “linked data and business information systems”. Business and Information Systems Engineering. 2016 Oct;58(5):371-373. doi: 10.1007/s12599-016-0448-y
Auer S, Heath T, Bizer C, Berners-Lee T. LDOW2016: 9th Workshop on Linked Data on the Web. In WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web: proceedings of the 25th International Conference on World Wide Web : May 11-15, 2016, Montreal, Canada. Republic and Canton of Geneva: Association for Computing Machinery (ACM). 2016. p. 1039-1040 doi: 10.1145/2872518.2890599