Difference between revisions of "Automatic Mapping of Wikipedia Categories into Opencyc Types"
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| − | '''Automatic Mapping of Wikipedia Categories into Opencyc Types''' - scientific work related to Wikipedia quality published in 2015, written by Aleksander Smywinski-Pohl and Krzysztof Wróbel. | + | '''Automatic Mapping of Wikipedia Categories into Opencyc Types''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Aleksander Smywinski-Pohl]] and [[Krzysztof Wróbel]]. |
== Overview == | == Overview == | ||
| − | The aim of the research presented in the article is the mapping between the English Wikipedia categories and OpenCyc types. The mapping algorithm is heuristic and it takes into account structural similarities between the categories and the corresponding types. The achieved mapping precision ranges from 82 to 92 % (depending on the evaluation scheme), recall from 67 to 76%. The results of the algorithm and its code are available at http://cycloped.io. | + | The aim of the research presented in the article is the mapping between the [[English Wikipedia]] [[categories]] and OpenCyc types. The mapping algorithm is heuristic and it takes into account structural similarities between the categories and the corresponding types. The achieved mapping precision ranges from 82 to 92 % (depending on the evaluation scheme), recall from 67 to 76%. The results of the algorithm and its code are available at http://cycloped.io. |
Revision as of 08:34, 6 January 2020
Automatic Mapping of Wikipedia Categories into Opencyc Types - scientific work related to Wikipedia quality published in 2015, written by Aleksander Smywinski-Pohl and Krzysztof Wróbel.
Overview
The aim of the research presented in the article is the mapping between the English Wikipedia categories and OpenCyc types. The mapping algorithm is heuristic and it takes into account structural similarities between the categories and the corresponding types. The achieved mapping precision ranges from 82 to 92 % (depending on the evaluation scheme), recall from 67 to 76%. The results of the algorithm and its code are available at http://cycloped.io.
