Datenbank-Spektrum

, Volume 16, Issue 1, pp 77–82 | Cite as

Die Abteilung Datenbanken und Informationssysteme am Max-Planck-Institut für Informatik

DATENBANKGRUPPEN VORGESTELLT

Zusammenfassung

Dieser Artikel stellt die wissenschaftliche Vision und aktuellen Forschungsrichtungen der Abteilung Datenbanken und Informationssysteme des Max-Planck-Instituts für Informatik vor.

Literatur

  1. 1.
    Anand A, Bedathur SJ, Berberich K, Schenkel R (2012) Index maintenance for time-travel text search. SIGIRGoogle Scholar
  2. 2.
    Beedkar K, Berberich K, Gemulla R, Miliaraki I (2015) Closing the gap: sequence mining at scale. ACM TODS 40(2):8Google Scholar
  3. 3.
    Bedathur SJ, Berberich K, Dittrich J, Mamoulis N, Weikum G (2010) Interesting-Phrase mining for Ad-Hoc text analytics. PVLDB 3(1):1348–1357Google Scholar
  4. 4.
    Berberich K, Bedathur SJ, Alonso O, Weikum G (2010) A language modeling approach for temporal information needs. ECIRGoogle Scholar
  5. 5.
    Biega J, Mele I, Weikum G (2014) Probabilistic prediction of privacy risks in user search histories. PSBD@CIKMGoogle Scholar
  6. 6.
    Del Corro L, Gemulla R (2013) ClausIE: clause-based open information extraction. WWWGoogle Scholar
  7. 7.
    Dylla M, Miliaraki I, Theobald M (2013) Top-k query processing in probabilistic databases with non-materialized views. ICDEGoogle Scholar
  8. 8.
    Ferrucci DA (2012) Introduction to „This is Watson“. IBM J Res Dev 56(3/4). doi:10.1147/JRD.2012.2184356Google Scholar
  9. 9.
    Gurajada S, Seufert S, Miliaraki I, Theobald M (2014) TriAD: a distributed shared-nothing RDF engine based on asynchronous message passing. SIGMODGoogle Scholar
  10. 10.
    Heath T, Bizer C (2011) Linked data: evolving the web into a global data space. Morgan & Claypool, san RafaelGoogle Scholar
  11. 11.
    Hoffart J et al (2011) Robust disambiguation of named entities in text. EMNLPGoogle Scholar
  12. 12.
    Hoffart J, Berberich K, Suchanek FM, Weikum G (2013) YAGO2: a Spatially and Temporally Enhanced Knowledge Base from Wikipedia. Artif Intell. 194:28–61Google Scholar
  13. 13.
    Hoffart J, Milchevski D, Weikum G (2014) STICS: searching with strings, things, and cats. SIGIR: 1247–1248Google Scholar
  14. 14.
    Kasneci G, Suchanek FM, Ifrim G, Ramanath M, Weikum G (2008) NAGA: searching and ranking knowledge. ICDE :953–962Google Scholar
  15. 15.
    Kuzey E, Setty V, Strötgen J, Weikum G (2016) As Time Goes By: comprehensive tagging of textual phrases with temporal scopes. WWWGoogle Scholar
  16. 16.
    Lenat DB (1995) Cyc: a large-scale investment in knowledge infrastructure. CACM 38(11):32–38Google Scholar
  17. 17.
    Metzler S, Miettinen P (2015) Clustering Boolean tensors.. Data Min Know lDisco 29(5):1343–1373Google Scholar
  18. 18.
    Miettinen P, Vreeken J (2011) Model order selection for boolean matrix factorization. KDDGoogle Scholar
  19. 19.
    Mukherjee S, Weikum G, Danescu-Niculescu-Mizil C (2014) People on drugs: credibility of user statements in health communities. KDDGoogle Scholar
  20. 20.
    Nakashole N, Weikum G, Suchanek FM (2012) Discovering and exploring relations on the web. PVLDB 5(12):1982–1985Google Scholar
  21. 21.
    Neumann T, Weikum G (2010) The RDF-3X engine for scalable management of RDF data. VLDB J 19(1):91–113Google Scholar
  22. 22.
    Nguyen HV, Müller E, Vreeken J, Efros P, Böhm K (2014) Multivariate maximal correlation analysis. ICMLGoogle Scholar
  23. 23.
    Singhal A (2012) Introducing the knowledge graph: things, not strings. Google Blog, May 16Google Scholar
  24. 24.
    Suchanek FM, Kasneci G, Weikum G (2007) YAGO: a Core of semantic knowledge. WWWGoogle Scholar
  25. 25.
    Tandon N, de Melo G, Suchanek FM, Weikum G (2014) WebChild: harvesting and organizing commonsense knowledge from the web. WSDMGoogle Scholar
  26. 26.
    Tandon N, de Melo G, De A, Weikum G (2015) Knowlywood: mining activity knowledge from hollywood Narratives. CIKMGoogle Scholar
  27. 27.
    Tandon N, Hariman C, Rohrbach A, Rohrbach M, Urbani J, Weikum G (2016) Commonsense in parts: mining part-whole relations from the Web and image tags. AAAIGoogle Scholar
  28. 28.
    Vreeken J (2015) Causal inference by direction of information. SDMGoogle Scholar
  29. 29.
    Yahya M, Berberich K, Elbassuoni S, Weikum G (2013) Robust question answering over the web of linked data. CIKMGoogle Scholar
  30. 30.
    Yahya M, Barbosa D, Berberich K, Wang Q, Weikum G (2016) Relationship queries on extended knowledge graphs. WSDMGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Max-Planck-Institut für InformatikSaarbüuckenDeutschland

Personalised recommendations