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


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


2016


Abramowicz W, Auer S, Heath T. Linked data in business. Business and Information Systems Engineering. 2016 Aug 15;58(5):323-326. doi.org/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, Hrsg., Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVII: Special Issue on Big Data for Complex Urban Systems. Berlin: Springer Verlag. 2016. S. 84-110. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi.org/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, Hrsg., 2016 49th Hawaii International Conference on System Sciences (HICSS). IEEE Computer Society. 2016. S. 2605-2614. (Proceedings of the Annual Hawaii International Conference on System Sciences). doi.org/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 Okt;58(5):371-373. doi.org/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'16 companion: 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. S. 1039-1040 doi.org/10.1145/2872518.2890599

Auer S, (ed.), Berners-Lee T, (ed.), Bizer C, (ed.), Heath T, (ed.). LDOW 2016, Linked Data on the Web: proceedings of the Workshop on Linked Data on the Web co-located with 25th International World Wide Web Conference (WWW 2016) : Montreal, Canada, April 12th, 2016. CEUR WS, 2016. (CEUR Workshop Proceedings).

Capadisli S, Auer S, Riedl R. This ‘paper’ is a demo. in Zimmermann A, Villata S, Breslin J, Faron-Zucker C, Gandon F, Guéret C, Hrsg., The Semantic Web: ESWC 2015 Satellite Events : ESWC 2015 Satellite Events, Portorož, Slovenia, May 31 – June 4, 2015, Revised Selected Papers. Cham: Springer Verlag. 2016. S. 26-30. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi.org/10.1007/978-3-319-25639-9_5

Capadisli S, Auer S, Riedl R. Towards linked statistical data analysis. in Proceedings of the 1st International Workshop on Semantic Statistics: co-located with 12th International Semantic Web Conference (ISWC 2013) Sydney, Australia, October 11th, 2013. CEUR WS. 2016. (CEUR Workshop Proceedings).

Collarana D, Galkin M, Lange C, González IG, Vidal ME, Auer S. FuhSen: A Federated Hybrid Search Engine for Building a Knowledge Graph On-Demand. in Dillon T, Debruyne C, Oâ’Sullivan D, Panetto H, Kuhn E, Ardagna CA, Meersman R, Hrsg., On the Move to Meaningful Internet Systems: OTM 2016 Conferences - Confederated International Conferences: CoopIS, C&TC, and ODBASE 2016, Rhodes, Greece, October 24-28, 2016, Proceedings. Cham: Springer Verlag. 2016. S. 752-761. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi.org/10.1007/978-3-319-48472-3_47

Collarana D, Lange C, Auer S. FuhSen: a platform for federated, RDF-based hybrid search. in WWW'16 companion: proceedings of the 25th International Conference on World Wide Web : May 11-15, 2016, Montreal, Canada. Republic and Canton of Geneva: International World Wide Web Conferences Steering Committee. 2016. S. 171-174 doi.org/10.1145/2872518.2890535

Debattista J, Lange C, Auer S. A Preliminary Investigation Towards Improving Linked Data Quality Using Distance-Based Outlier Detection. in Sun J, Liu Y, Dong JS, Antoniou G, Wang Z, Hu W, Li Y-F, Hrsg., Semantic Technology: 6th Joint International Conference, JIST 2016, Singapore, Singapore, November 2-4, 2016, Revised Selected Papers. Cham: Springer Verlag. 2016. S. 116-124. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi.org/10.1007/978-3-319-50112-3_9

Debattista J, Lange C, Scerri S, Auer S. Linked 'Big' Data: Towards a Manifold Increase in Big Data Value and Veracity. in Buyya R, Raicu I, Rana O, Hrsg., 2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC). Institute of Electrical and Electronics Engineers Inc. 2016. S. 92-98 doi.org/10.1109/BDC.2015.34

Debattista J, Auer S, Lange C. Luzzu: A methodology and framework for linked data quality assessment. Journal of Data and Information Quality. 2016 Okt;8(1). 4. doi.org/10.1145/2992786


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