Methodology for creating a community corpus using a Wikibase knowledge graph

By Sara Assefa Alemayehu, Kushagra Singh Bisen, Pierre Maret, Alexandra Creighton, Rachel Gorman, Bushra Kundi, Thumeka Mgwgwi, Fabrice Muhlenbach, Serban Dinca-Panaitescu, Dennis Diefenbach, Kunpeng Guo, Christo El Morr

Abstract

The Wikibase environment is provided by the Wikimedia foundation. It provides a suite of tools and a collaborative environment and implements Semantic Web techniques to model and store data. It has been shown that the Wikibase environment is well adapted to store and manage documents with their meta-data and that it can be associated with a search mechanism that facilitates the accessibility to this set of information. Several implementations of such a web platform have been proposed for various communities, but no methodology has been yet proposed. A methodology would help to identify tasks and easily reproduce them for the new implementation of community Wikibases, together with the search function that provides access to the information stored. In this paper, we propose a methodology for domain-specific Wikibase instantiation, for documents and their meta-data, and we identify some tools related to this methodology.

Publication Details

@inproceedings{alemayehu2022methodology,
  title={Methodology for creating a community corpus using a Wikibase knowledge graph},
  author={Alemayehu, Sara Assefa and Bisen, Kushagra Singh and Maret, Pierre and Creighton, Alexandra and Gorman, Rachel and Kundi, Bushra and Mgwgwi, Thumeka and Muhlenbach, Fabrice and Dinca-Panaitescu, Serban and Morr, Christo El},
  booktitle={Iberoamerican Knowledge Graphs and Semantic Web Conference},
  pages={285--297},
  year={2022},
  organization={Springer}
}

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