As part of the Heritage Connector project we've built a knowledge graph from the Science Museum Group and V&A collections using machine learning techniques.
This is an experimental interface designed to let you explore the connections in this knowledge graph, in a way that feels familiar.
The Open Definition makes precise the meaning of “open” with respect to knowledge, promoting a robust commons in which anyone may participate, and interoperability is maximized.
D. Knoell, M. Atzmueller, C. Rieder, and K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, (2017)
M. Atzmueller, and F. Mitzlaff. Lorentz Workshop on Mining Patterns and Subgroups, Lorentz Center, Leiden, The Netherlands. Awarded with the Best Discovery Award, (2010)
D. Knoell, M. Atzmueller, C. Rieder, and K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, ((In Press) 2017)
D. Knoell, M. Atzmueller, C. Rieder, and K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, (2017)
U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. Proceedings of the 2nd international conference on Knowledge Discovery and Data mining (KDD'96), page 82--88. AAAI Press, (August 1996)
R. Jäschke, and S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, page 19--34. Technische Universität Dresden, (May 2013)
M. Atzmueller, S. Beer, and F. Puppe. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted, page 372-377. AAAI Press, (2009)