My two cents: I'm not sure what you mean by internal data structures. If OSM data is used to train a ML algorithm, then I would think that the training inputs could be a substantial extract (possibly a trivial transformation of an extract). But what is trained would be an algorithm/weights, which I generally do not think of as a database at all? But since it uses an OSM database, a Produced Work seems the right concept: "a work (such as an image, audiovisual material, text, or sounds) resulting from using the whole or a Substantial part of the Contents (via a search or other query) from this Database, a Derivative Database, or this Database as part of a Collective Database." -Kathleen
On Tue, Apr 9, 2019 at 5:06 AM Frederik Ramm <frede...@remote.org> wrote: > Hi, > > is it a community consensus that, when someone uses OSM to train their > machine learning "black box", the internal data structures built during > learning constitute a derivative database? Or are there people who argue > that somehow the "black box" can ingest OSM data at will and still > remain 100% intellectual property of its operator? > > Further, assuming that we have a system that has ingested OSM by deep > learning and we say that this means its internal database is ODbL, what > would this mean for the output later produced by the same machine? > > Bye > Frederik > > -- > Frederik Ramm ## eMail frede...@remote.org ## N49°00'09" E008°23'33" > > _______________________________________________ > legal-talk mailing list > legal-talk@openstreetmap.org > https://lists.openstreetmap.org/listinfo/legal-talk >
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