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Jens Lehmann
Jens Lehmann
Principal Scientist at Amazon Inc., Honorary Professor at TU Dresden
Verified email at amazon.com - Homepage
Title
Cited by
Year
2013 Awards for Excellence
M Morsey, J Lehmann, S Auer, C Stadler, S Hellmann
2nd special issue on Linked Dataset Descriptions
J Lehmann, O Corcho
Semantic Web 6 (2), 103-104, 2015
2015
3D Learning and Reasoning in Link Prediction Over Knowledge Graphs
M Nayyeri, MM Alam, J Lehmann, S Vahdati
IEEE Access 8, 196459-196471, 2020
22020
5* knowledge graph embeddings with projective transformations
M Nayyeri, S Vahdati, C Aykul, J Lehmann
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9064-9072, 2021
362021
A Distributed Approach for Parsing Large-scale OWL Datasets.
H Mohamed, S Fathalla, J Lehmann, H Jabeen
KEOD, 227-234, 2020
2020
A fuzzy knowledge representation model for student performance assessment
F Badie, T Soru, J Lehmann
2014 IEEE 14th International Conference on Advanced Learning Technologies …, 2014
52014
A linked open data representation of patents registered in the US from 2005–2017
MM Hassan, A Zaveri, J Lehmann
Scientific data 5 (1), 1-9, 2018
32018
A Neural-based model to Predict the Future Natural Gas Market Price through Open-domain Event Extraction.
MT Chau, D Esteves, J Lehmann
CLEOPATRA@ ESWC, 17-31, 2020
52020
A new multistratigraphic zonation for the upper-Aptian and Albian of the Vocontian Basin (SE-France) and NE-Texas, based on planktic foraminiferas, calcareous nannofossils …
K Reichelt, JO Herrle, J Lehmann, C Hemleben
Travaux et Documents des Laboratoires de Géologie de Lyon 156 (1), 194-194, 2002
2002
A novel multiproxy approach to reconstruct the paleoecology of extinct cephalopods
R Hoffmann, S Riechelmann, KA Ritterbush, J Koelen, N Lübke, ...
Gondwana Research 67, 64-81, 2019
202019
A question answering system on regulatory documents
D Collarana, T Heuss, J Lehmann, I Lytra, G Maheshwari, R Nedelchev, ...
Legal knowledge and information systems, 41-50, 2018
142018
A Refinement Operator Based Learning Algorithm for the Description Logic
J Lehmann, P Hitzler
Inductive Logic Programming, 0
2
A Refinement Operator Based Learning Algorithm for the ALC Description Logic
J Lehmann, P Hitzler
Inductive Logic Programming, 147-160, 2008
117*2008
A Scalable Approach for Distributed Reasoning over Large-scale OWL Datasets.
H Mohamed, S Fathalla, J Lehmann, H Jabeen
KEOD, 51-60, 2021
22021
A scalable framework for quality assessment of RDF datasets
G Sejdiu, A Rula, J Lehmann, H Jabeen
The Semantic Web–ISWC 2019: 18th International Semantic Web Conference …, 2019
132019
A simulated annealing meta-heuristic for concept learning in description logics
P Westphal, S Vahdati, J Lehmann
International Conference on Inductive Logic Programming, 266-281, 2021
42021
A Stitch in Time Saves Nine--SPARQL querying of Property Graphs using Gremlin Traversals
H Thakkar, D Punjani, Y Keswani, J Lehmann, S Auer
arXiv preprint arXiv:1801.02911, 2018
262018
A Virtual Knowledge Graph for Enabling Defect Traceability and Customer Service Analytics
N Wilhelm, D Collarana, J Lehmann
The Semantic Web: ESWC 2021 Satellite Events: Virtual Event, June 6–10, 2021 …, 2021
2021
A vocabulary-independent generation framework for DBpedia and beyond
B De Meester, A Dimou, W Maroy, D Kontokostas, R Verborgh, ...
ISWC2017, the 16e International Semantic Web Conference 1963, 1-4, 2017
2017
ACRyLIQ: Leveraging DBpedia for adaptive crowdsourcing in linked data quality assessment
U ul Hassan, A Zaveri, E Marx, E Curry, J Lehmann
Knowledge Engineering and Knowledge Management: 20th International …, 2016
152016
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Articles 1–20