This is the fourth OpenMinTeD webinar on interoperability for text and data mining. It discusses how OpenMinTeD tackles knowledge level interoperability.


Article

Different text and data mining (TDM) components may define the same linguistic or domain concept by reference to different linguistic, terminological and ontological resources. For example, two components may define part-of-speech by reference to two different knowledge resources. This leads to difficulty in interoperability when mixing such incompatible components in the same workflow. OpenMinTeD is tackling this knowledge level interoperability through the selection and mapping of widely used and de facto knowledge resources, and by creating guidelines for other such mappings. We present the current state of our selection and mapping, and discuss progress with interoperability experiments that make use of these mappings in real workflows. Watch the webinar

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Authors: Angus Roberts
Publication year: 2016
Language: English (EN)
Level of knowledge: Intermediate: able to
Usage rights: Attribution - CC-BY

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