Tag Archives: concept mapping

Adding concept lists to Concepticon: A guide for beginners

Scientific data should be openly accessible. This includes databases which are designed for collaborative work. However, in most cases, these databases are only extended by a team of experts. If a database is truly collaborative, the workflows need to be accessible for everybody. The Concepticon database  (List et al., 2019) invites contributors to include their own data sets. This requires a transparent description of the contributing process.

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Using pyconcepticon to map concept lists (II)

Mapping a given concept list to Concepticon can be done in a straight-forward way, even if automatic mappings need manual refinement. But what can we do when having to deal with larger datasets, say, a dictionary, from which we want to extract specific concepts, such as, for example, the ones in the classical Swadesh list of 100 items (Swadesh 1955)?

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