Publications

Note on Citing: If you want to refer to the software DL-Learner, please cite the Journal of Machine Learning Research (JMLR) article, which appeared in the open source track. If you want to refer to the algorithms and methods used in DL-Learner, please cite the Machine Learning journal (MLj) article.

  • The GeoKnow Generator Workbench: An Integration Platform for Geospatial Data. Garcia-Rojas, Alejandra; Hladky, Daniel; Wauer, Matthias; Isele, Robert; Stadler, Claus; Lehmann, Jens (2015).
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  • DBpedia - A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia. Lehmann, Jens; Isele, Robert; Jakob, Max; Jentzsch, Anja; Kontokostas, Dimitris; Mendes, Pablo N.; Hellmann, Sebastian; Morsey, Mohamed; van Kleef, Patrick; Auer, Sören; Bizer, Christian (2015). 6(2) 167--195.
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  • Concept Learning. Lehmann, Jens; Fanizzi, Nicola; Bühmann, Lorenz; d'Amato, Claudia J. Lehmann, Voelker, J. (eds.) (2014). 71-91.
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  • Databugger: A Test-driven Framework for Debugging the Web of Data. Kontokostas, Dimitris; Westphal, Patrick; Auer, Sören; Hellmann, Sebastian; Lehmann, Jens; Cornelissen, Roland in WWW Companion '14 (2014). 115--118.
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  • Perspectives On Ontology Learning Lehmann, Jens; Voelker, Johanna in Studies in the Semantic Web (2014). AKA / IOS Press.
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  • CROCUS: Cluster-based ontology data cleansing. Cherix, Didier; Usbeck, Ricardo; Both, Andreas; Lehmann, Jens (2014).
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  • Test-driven Evaluation of Linked Data Quality. Kontokostas, Dimitris; Westphal, Patrick; Auer, Sören; Hellmann, Sebastian; Lehmann, Jens; Cornelissen, Roland; Zaveri, Amrapali in WWW '14 (2014). 747--758.
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  • Supporting the Data Lifecycle at a Global Publisher using the Linked Data Stack. Dirschl, Christian; Eck, Katja; Lehmann, Jens (2014). 2014(96)
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  • An Introduction to Ontology Learning. Lehmann, Jens; Voelker, Johanna J. Lehmann, Voelker, J. (eds.) (2014). ix-xvi.
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  • GeoKnow: Making the Web an Exploratory Place for Geospatial Knowledge. Athanasiou, Spiros; Hladky, Daniel; Giannopoulos, Giorgos; Garc\'ıa-Rojas, Alejandra; Lehmann, Jens (2014). 2014(96)
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  • Inductive Lexical Learning of Class Expressions. Bühmann, Lorenz; Fleischhacker, Daniel; Lehmann, Jens; Melo, Andre; Völker, Johanna in Lecture Notes in Computer Science, K. Janowicz, Schlobach, S., Lambrix, P., Hyvönen, E. (eds.) (2014). (Vol. 8876) 42-53.
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  • Pattern Based Knowledge Base Enrichment. Bühmann, Lorenz; Lehmann, Jens H. Alani, Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J. X., Aroyo, L., Noy, N., Welty, C., Janowicz, K. (eds.) (2013). (Vol. 8218) 33-48.
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  • Improving the Performance of a SPARQL Component for Semantic Web Applications. Cherix, Didier; Hellmann, Sebastian; Lehmann, Jens (2012).
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  • Navigation-induced Knowledge Engineering by Example. Hellmann, Sebastian; Lehmann, Jens; Unbehauen, Jörg; Stadler, Claus; Lam, Thanh Nghia; Strohmaier, Markus (2012).
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  • Universal OWL Axiom Enrichment for Large Knowledge Bases. Bühmann, Lorenz; Lehmann, Jens (2012). 57--71.
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  • Towards Integrating Fuzzy Logic Capabilities into an Ontology-based Inductive Logic Programming Framework. Iglesias, Josué; Lehmann, Jens (2011).
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  • Class expression learning for ontology engineering. Lehmann, Jens; Auer, Sören; Bühmann, Lorenz; Tramp, Sebastian (2011). 9 71 - 81.
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  • AutoSPARQL: Let Users Query Your Knowledge Base. Lehmann, Jens; Bühmann, Lorenz (2011).
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  • Learning of OWL Class Expressions on Very Large Knowledge Bases and its Applications. Hellmann, Sebastian; Lehmann, Jens; Auer, Sören I. S. Services, Concepts, W. A. : E. (eds.) (2011). 104-130.
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  • HANNE - A Holistic Application for Navigational Knowledge Engineering. Hellmann, Sebastian; Unbehauen, Jörg; Lehmann, Jens (2010).
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  • Making the Web a Data Washing Machine---Creating Knowledge out of Interlinked Data. Auer, Sören; Lehmann, Jens (2010).
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  • The TIGER Corpus Navigator. Hellmann, Sebastian; Unbehauen, Jörg; Chiarcos, Christian; Ngonga Ngomo, Axel-Cyrille in NEALT Proceeding Series (2010).
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  • Learning OWL Class Expressions Lehmann, Jens in Studies on the Semantic Web, (P. Hitzler, ed.) (2010). (Vol. 6) 265. AKA Heidelberg.
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  • Learning OWL Class Expressions. Technical Report (PhD dissertation), Lehmann, Jens PhD thesis, University of Leipzig. (2010).
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  • ORE - A Tool for Repairing and Enriching Knowledge Bases. Lehmann, Jens; Bühmann, Lorenz in Lecture Notes in Computer Science (2010). 177--193.
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  • Concept Learning in Description Logics Using Refinement Operators. Lehmann, Jens; Hitzler, Pascal (2010). 78(1-2) 203--250.
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  • Ideal Downward Refinement in the EL Description Logic. Lehmann, Jens; Haase, Christoph (2009).
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  • Semantische Mashups auf Basis Vernetzter Daten. Auer, Sören; Lehmann, Jens; Bizer, Chris A. Blumauer, Pellegrini, T. (eds.) (2009). 259--286.
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  • Ideal Downward Refinement in the EL Description Logic Lehmann, Jens; Haase, Christoph (2009).
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  • Learning of OWL Class Descriptions on Very Large Knowledge Bases. Hellmann, Sebastian; Lehmann, Jens; Auer, Sören (2009). 5(2) 25--48.
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  • DL-Learner: Learning Concepts in Description Logics. Lehmann, Jens (2009). 10 2639--2642.
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  • DBpedia Navigator. Lehmann, Jens; Knappe, Sebastian (2008).
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  • Learning of OWL Class Descriptions on Very Large Knowledge Bases. Hellmann, Sebastian; Lehmann, Jens; Auer, Sören in CEUR Workshop Proceedings, C. Bizer, Joshi, A. (eds.) (2008). (Vol. 401)
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  • A Refinement Operator Based Learning Algorithm for the $ALC$ Description Logic. Lehmann, Jens; Hitzler, Pascal in Lecture Notes in Computer Science (2008). (Vol. 4894) 147--160.
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  • Foundations of Refinement Operators for Description Logics. Lehmann, Jens; Hitzler, Pascal in Lecture Notes in Computer Science, H. Blockeel, Ramon, J., Shavlik, J. W., Tadepalli, P. (eds.) (2008). (Vol. 4894) 161--174.
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  • Hybrid Learning of Ontology Classes. Lehmann, Jens in Lecture Notes in Computer Science (2007). (Vol. 4571) 883--898.
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  • Foundations of Refinement Operators for Description Logics Lehmann, Jens; Hitzler, Pascal (2007).
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  • A Refinement Operator Based Learning Algorithm for the $ALC$ Description Logic Lehmann, Jens; Hitzler, Pascal (2007).
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