( en | de | ru )

 

Disambiguation of "Lindstaedt, Stefanie N."

Author of the publication

copydeleteadd this publication to your clipboard
KnowBrain: An Online Social Knowledge Repository for Informal Workplace Learning.

, , , , , , and . EC-TEL, volume 9307 of Lecture Notes in Computer Science, page 509-512. Springer, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

n n n

Rudolf Lindstaedt

Hannelore Lindstaedt

Holger Lindstaedt

Bernd Lindstaedt

 

Other publications of authors with the same name

Modellierung von Anwenderverhalten im Social Semantic Web., , and . Social Semantic Web, Springer, (2009)MagIR: Distributed Creation, Administration and Reutilization of Multimedia Presentation Content., , , , , and . Wissensmanagement, page 481-486. DFKI, Kaiserslautern, (2005)Automating Knowledge Transfer and Creation in Knowledge Intensive Business Processes., , , , , and . Business Process Management Workshops, volume 17 of Lecture Notes in Business Information Processing, page 678-686. Springer, (2008)Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric., , , , , , and . CoRR, (2019)Integration von Arbeiten und Lernen - Kompetenzentwicklung in Arbeitsprozessen., and . Semantic Web: Wege zur vernetzten Wissensgesellschaft, Springer, (2006)Context-Aware Recommendation for Work-Integrated Learning., , and . Context and Semantics for Knowledge Management, Springer, (2011)Introducing Knowledge Management in the Federal Environmental Agency of Austria., , and . EnviroInfo, page 396-403. Metropolis, Marburg, (2003)Learning analytics for workplace and professional learning., , , and . LAK, page 484-485. ACM, (2016)Integrating Business Processes and Knowledge Infrastructures., and . J. Univers. Comput. Sci., 11 (4): 426-428 (2005)Parasitic resistance as a predictor of faulty anodes in electro galvanizing: a comparison of machine learning, physical and hybrid models., , , , , , , , and . Adv. Model. Simul. Eng. Sci., 7 (1): 46 (2020)