Due to the size and volume of unstructured textual data, automatic processing techniques are desired by many researchers in business and economic studies. A common use case is the data scraped from Internet. Researchers can process it using the algorithm called named entity linking. It finds concepts in texts (e.g., organisations, persons and locations) and links these concepts to entities in a knowledge base.
Let’s apply spaCyOpenTapioca to the sentence “Christian Drosten works in Charité, Germany.”. It correctly identifies Christian Drosten as a person with Wikidata ID Q1079331, Charité as organisation with Q162684 and Germany as location with Q183. Visualisation of results is also possible:
Great news! BERD and UB Mannheim have joined the Wikibase Stakeholder Group (WBSG). It is a group of a few members who actively use Wikibase and develop extensions for it. The mission of the group is to commission production and maintenance of open source extensions to Wikibase as well as documentation.
BERD is honoured to join the WBSG and looking forward to shape the future of the Wikibase Ecosystem.
European Semantic Web Conference (ESWC) is a major venue on semantic technologies. ESWC 2021 took place online on 6-10 June and had many interesting contributions. BERD was happy to attend ESWC 2021 and to present our new tool RaiseWikibase.
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