Jens Lehmann mainly focuses on Linked data, Information retrieval, RDF, Semantic Web and SPARQL. His Linked data research incorporates themes from Crowdsourcing, Data quality, Set and Data science. His research integrates issues of Semantics, World Wide Web and Data model in his study of Information retrieval.
Jens Lehmann has researched RDF in several fields, including Data integration and Data Web. In his work, Description logic and Data structure is strongly intertwined with Web service, which is a subfield of Semantic Web. The SPARQL study combines topics in areas such as Question answering and Knowledge base.
Jens Lehmann mostly deals with Information retrieval, RDF, Linked data, Artificial intelligence and Semantic Web. His research in the fields of Question answering overlaps with other disciplines such as Benchmarking. His research investigates the connection between RDF and topics such as Scalability that intersect with problems in Big data.
His Linked data study is concerned with World Wide Web in general. His Artificial intelligence research incorporates elements of Context, Machine learning and Natural language processing. His biological study spans a wide range of topics, including Ontology and Description logic.
Jens Lehmann spends much of his time researching Knowledge graph, Artificial intelligence, Embedding, Question answering and Theoretical computer science. His study looks at the intersection of Knowledge graph and topics like Data mining with Scalability. His work deals with themes such as Machine learning and Natural language processing, which intersect with Artificial intelligence.
The study incorporates disciplines such as Parsing, Natural language and Pointer in addition to Question answering. His Context research is multidisciplinary, incorporating elements of Quality, Information retrieval and Interface. Information retrieval is a component of his SPARQL and RDF studies.
Knowledge graph, Embedding, Theoretical computer science, Artificial intelligence and Entity linking are his primary areas of study. His Knowledge graph research is under the purview of Information retrieval. As part of his studies on Information retrieval, Jens Lehmann often connects relevant subjects like Structure.
His research in Artificial intelligence focuses on subjects like Natural language processing, which are connected to Component and Reinforcement learning. His work carried out in the field of Entity linking brings together such families of science as Data science, Context, Transformer and Process. Jens Lehmann focuses mostly in the field of Semantic Web, narrowing it down to matters related to Set and, in some cases, Ontology.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
DBpedia: a nucleus for a web of open data
Sören Auer;Christian Bizer;Georgi Kobilarov;Jens Lehmann.
international semantic web conference (2007)
DBpedia - A crystallization point for the Web of Data
Christian Bizer;Jens Lehmann;Georgi Kobilarov;Sören Auer.
Journal of Web Semantics (2009)
DBpedia - A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia
Jens Lehmann;Robert Isele;Max Jakob;Anja Jentzsch.
Social Work (2015)
Template-based question answering over RDF data
Christina Unger;Lorenz Bühmann;Jens Lehmann;Axel-Cyrille Ngonga Ngomo.
the web conference (2012)
Quality assessment for Linked Data: A Survey
Amrapali Zaveri;Anisa Rula;Andrea Maurino;Ricardo Pietrobon.
Social Work (2015)
OntoWiki: A Tool for Social, Semantic Collaboration.
Sören Auer;Sebastian Dietzold;Jens Lehmann;Thomas Riechert.
Triplify: light-weight linked data publication from relational databases
Sören Auer;Sebastian Dietzold;Jens Lehmann;Sebastian Hellmann.
the web conference (2009)
LinkedGeoData: A core for a web of spatial open data
Claus Stadler;Jens Lehmann;Konrad Höffner;Sören Auer.
Social Work (2012)
DBpedia SPARQL benchmark: performance assessment with real queries on real data
Mohamed Morsey;Jens Lehmann;Sören Auer;Axel-Cyrille Ngonga Ngomo.
international semantic web conference (2011)
LinkedGeoData: Adding a Spatial Dimension to the Web of Data
Sören Auer;Jens Lehmann;Sebastian Hellmann.
international semantic web conference (2009)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: