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Beyond research data infrastructures: exploiting artificial & crowd intelligence towards building research knowledge graphs

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Beyond research data infrastructures: exploiting artificial & crowd intelligence towards building research knowledge graphs

Veranstaltungsart:
Kolloquium Angewandte Informatik




The need for sharing and reuse of research data has been widely acknowledged and led to a multitude of data search platforms, registries as well as national and international ini-tiatives. Whereas efforts often focus on improving discovery, retrieval and recommendati-on of popular research datasets, there is vast untapped potential in the form of dataset (references) hidden in unstructured Web sites or resources as well research data which can be mined from the (social) Web. In this context, crowd and artificial intelligence con-verge on the task of extracting machine-readable structured knowledge graphs about re-search data and resources, facilitated by techniques from information retrieval, NLP, (dis-tributional) semantics, and machine learning. This talk will provide an overview of recent works in the aforementioned areas with applications in (but not limited to) the social sci-ences.

(Stefan Dietze)




Start: 21. Februar 2020 um 14:00
Ende: 21. Februar 2020 um 15:30


Im Gebäude 05.20, Raum: 1C-04

Veranstaltung vormerken: (iCal)


Veranstalter: Forschungsgruppe(n) Information Service Engineering
Information: Media:Dietze 21-02-2020.pdf