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Datenbanken und Information Retrieval an der Universität Bamberg

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Zusammenfassung

In diesem Beitrag werden zwei Lehrstühle der Universität Bamberg vorgestellt, die in den Themenfeldern Datenbanken und Information Retrieval forschen und lehren. Dabei wird ein Überblick über das Umfeld, die aktuellen Forschungsthemen und die Lehraktivitäten gegeben.

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Notes

  1. siehe www.uni-bamberg.de/wiai/.

  2. siehe www.uni-bamberg.de/wiai/studium/, dort finden sich auch Informationen zu weiteren, stärker auf das Management der IT-Funktion ausgerichteten WI-Studiengängen.

  3. de.dariah.eu/.

  4. Aufbau einer Informationsplattform zum Projekt „WegE: Wegweisende Lehrerbildung“ www.uni-bamberg.de/wege/plattform/.

  5. www.it-atlas-oberfranken.de/.

  6. emblematica.grainger.illinois.edu/.

  7. www.vhb.org/.

  8. Virtueller Weiterbildungsstudiengang Wirtschaftsinformatik, www.vawi.de/.

  9. https://www.uni-bamberg.de/minf/studium/lv/ic4gs/.

  10. https://www.futureiot.de/.

  11. http://www.simutool.com/.

  12. https://www.uni-bamberg.de/mobi/transfer/innovationslabor-bamberg-coburg/.

Literatur

  1. Adler M (2018) Bilddaten in den Digitalen Geistes- und Kulturwissenschaften – Interoperabilität und Retrieval. DARIAH-DE Cluster 6 Expertenworkshop und DARIAH-Methodenworkshop des Sonderforschungsbereichs 980 „Episteme in Bewegung“, 05.–06.10.2017 (DHdBlog, https://dhd-blog.org/?p=8959)

    Google Scholar 

  2. Behrend A, Nicklas D, Gawlick D (2012) DBMS meets DSMS: towards a federated solution. In: Proceedings of the International Conference on Data Technologies and Applications (DATA), Rome, Italy, SciTePress, Setúbal, Portugal, S 157–162, https://doi.org/10.5220/0004122501570162

  3. Benabbas A, Elmamooz G, Lagesse B, Nicklas D, Schmid U (2017) Living Lab Bamberg: an infrastructure to explore smart city research challenges in the wild. Künstliche Intell. https://doi.org/10.1007/s13218-017-0497-5

    Article  Google Scholar 

  4. Benabbas A, Steuer S, Nicklas D (2017) Towards quality aware sensor data stream processing in a smart city living lab. In: Grundlagen von Datenbanken, CEUR Workshop Proceedings, Bd. 1858, S 36–41 (CEUR-WS.org)

    Google Scholar 

  5. Blank D, Boosz S, Henrich A (2016) IT company atlas upper franconia: a practical application of expert search techniques. In: Proceedings of the 31st Annual ACM Symposium on Applied Computing SAC ’16. ACM, New York, S 1048–1053 https://doi.org/10.1145/2851613.2851695

    Chapter  Google Scholar 

  6. Blank D, Fuhr N, Henrich A, Mandl T, Rölleke T, Schütze H, Stein B (2011) Teaching IR: curricular considerations. In: Efthimiadis E, Fernández-Luna JM, Huete JF, MacFarlane A (Hrsg) Teaching and learning in information retrieval. Springer, Berlin Heidelberg, S 31–46 https://doi.org/10.1007/978-3-642-22511-6_3

    Chapter  Google Scholar 

  7. Blank D, Henrich A (2016) Assessing interestingness and importance of information retrieval course topics in a course for three different target groups. In: Proceedings of the 4th Spanish Conference on Information Retrieval CERI ’16. ACM, New York, S 20:1–20:8 https://doi.org/10.1145/2934732.2934751

    Chapter  Google Scholar 

  8. Blank D, Henrich A (2016) A depth-first branch-and-bound algorithm for geocoding historic itinerary tables. In: Proceedings of the 10th Workshop on Geographic Information Retrieval GIR ’16. ACM, New York, S 3:1–3:10 https://doi.org/10.1145/3003464.3003467

    Chapter  Google Scholar 

  9. Blank D, Henrich A, Kufer S (2016) Using summaries to search and visualize distributed resources addressing spatial and multimedia features. Datenbank Spektrum 16(1):67–76. https://doi.org/10.1007/s13222-015-0210-5

    Article  Google Scholar 

  10. Croft B, Metzler D, Strohman T (2009) Search engines: information retrieval in practice, 1. Aufl. Pearson, Boston

    Google Scholar 

  11. Elmamooz G, Finzel B, Nicklas D (2017) Towards understanding mobility in museums. In: BTW (Workshops). LNI, vol. P‑266, S 127–134

    Google Scholar 

  12. Geesen D, Appelrath HJ, Grawunder M, Nicklas D (2013) Lernen haeufiger Muster aus intervallbasierten Datenstroemen - Semantik und Optimierungen. Fachtagung des GI-Fachbereichs, Magdeburg (in German)

    Google Scholar 

  13. Geesen D, Brell M, Grawunder M, Nicklas D, Appelrath HJ (2012) Data stream management in the AAL - universal and flexible preprocessing of continuous sensor data. In: Wichert R, Eberhardt B (Hrsg) Ambient assisted living. Springer, Heidelberg New York Dordrecht London, S 213–228

    Chapter  Google Scholar 

  14. Gooren-Sieber S, Henrich A (2012) Systems for personalised learning: personal learning environment vs. e‑portfolio? In: Hybrid Learning 5th International Conference, ICHL 2012, Guangzhou. Proceedings, LNCS, 7411, S 294–305

    Chapter  Google Scholar 

  15. Gradl T, Henrich A (2016) Data integration for the arts and humanities: a language theoretical concept. In: Fuhr N, Kovács L, Risse T, Nejdl W (Hrsg) Research and advanced technology for digital libraries. Springer, Cham, S 281–293

    Chapter  Google Scholar 

  16. Gradl T, Henrich A (2016) Extending data models by declaratively specifying contextual knowledge. In: Proceedings of the 2016 ACM Symposium on Document Engineering. DocEng ’16. ACM, New York, S 123–126 https://doi.org/10.1145/2960811.2967147

    Chapter  Google Scholar 

  17. Henrich A, Blank D, Lewandowski D, Härder T (2017) Themenheft: Innovative vertikale Suchlösungen: Konzeption, Umsetzung und Einsatz. Datenbank Spektrum 17(1). https://doi.org/10.1007/s13222-017-0251-z

    Article  Google Scholar 

  18. Henrich A, Heyer G, Schlieder C, Härder T (2015) Themenheft: Informationsmanagement für Digital Humanities. Datenbank Spektrum 15(1). https://doi.org/10.1007/s13222-015-0181-6

    Article  Google Scholar 

  19. Henrich A, Wegmann M (2017) Searching an appropriate journal for your paper - an approach inspired by expert search and data fusion. In: Leyer M (Hrsg) Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings CEUR Workshop Proceedings, vol. 1917, Rostock, S 253–258 (CEUR-WS.org (2017). http://ceur-ws.org/Vol-1917/paper34.pdf)

    Google Scholar 

  20. Kasrin N, Qureshi M, Steuer S, Nicklas D (2018) Semantic data management for experimental manufacturing technologies. Datenbank Spektrum 18(1):27–37. https://doi.org/10.1007/s13222-018-0274-0 (https://link.springer.com/article/10.1007/s13222-018-0274-0)

    Article  Google Scholar 

  21. Kuka C, Bolles A, Funk A, Eilers S, Schweigert S, Gerwinn S, Nicklas D (2013) SaLsA streams: dynamic context models for autonomous transport vehicles based on multi-sensor fusion. IEEE, S 263–266 https://doi.org/10.1109/MDM.2013.37 (http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6569144)

    Book  Google Scholar 

  22. Kuka C, Nicklas D (2014) Quality matters: supporting quality-aware pervasive applications by probabilistic data stream management. In: Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems DEBS’14. ACM, New York, S 1–12 https://doi.org/10.1145/2611286.2611292

    Chapter  Google Scholar 

  23. Nicklas D, Schwarz T, Mitschang B (2017) A schema-based approach to enable data integration on the fly. Int J Coop Inf Syst. https://doi.org/10.1142/S0218843016500106

    Article  Google Scholar 

  24. Reinel D, Scheidt J, Henrich A, Brucker N (2018) Sentiment phrase generation using statistical methods. In: Haddad HM, Wainwright RL, Chbeir R (Hrsg) Proceedings of the 33rd Annual ACM Symposium on Applied Computing SAC 2018, Pau. ACM, New York, USA, S 452–460 https://doi.org/10.1145/3167132.3167182

  25. Sakamoto Y, Fukui KI, Gama J, Nicklas D, Moriyama K, Numao M (2015) Concept drift detection with clustering via statistical change detection methods. In: 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE) Ho Chi Minh City, S 37–42 https://doi.org/10.1109/KSE.2015.19

    Chapter  Google Scholar 

  26. Sperker H, Henrich A (2013) Feature-based object recognition - a case study for car model detection. In: 11th International Workshop on Content-Based Multimedia Indexing CBMI 2013, Veszprém. IEEE, New York, USA, S 127–130 https://doi.org/10.1109/CBMI.2013.6576568

  27. Wiese L (2015) Advanced data management: for SQL, noSQL, cloud and distributed databases. De Gruyter, Oldenbourg, Berlin, Boston. (Google-Books-ID: 6BM_CwAAQBAJ)

  28. Wolf SJ, Henrich A, Blank D (2014) Characterization of toponym usages in texts. In: Proceedings of the 8th Workshop on Geographic Information Retrieval GIR ’14. ACM, New York, S 7:1–7:8 https://doi.org/10.1145/2675354.2675703

    Chapter  Google Scholar 

  29. Wolter D, Blank D, Henrich A (2017) Georeferencing river networks using spatial reasoning. In: Proceedings of the 11th Workshop on Geographic Information Retrieval GIR’17. ACM, New York, S 6:1–6:2 https://doi.org/10.1145/3155902.3155907

    Chapter  Google Scholar 

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Henrich, A., Nicklas, D. Datenbanken und Information Retrieval an der Universität Bamberg. Datenbank Spektrum 18, 195–202 (2018). https://doi.org/10.1007/s13222-018-0298-5

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