WDAqua focused directly on question answering over web data using NLP, entity recognition, and speech recognition; Cleopatra extended this into multilingual analytics.
WOLTERS KLUWER DEUTSCHLAND GMBH
Global information services company contributing industry-scale NLP, multilingual analytics, and data quality expertise to EU research consortia.
Their core work
Wolters Kluwer Deutschland is the German arm of the global information services giant Wolters Kluwer, specializing in professional information products for legal, tax, accounting, and compliance domains. Within H2020, their contribution centered on applied natural language processing, question answering systems, and data quality engineering — bringing real-world industry requirements to academic research consortia. They served as an industry use-case provider and training host for early-stage researchers, offering access to large-scale professional knowledge bases and multilingual content repositories.
What they specialise in
ALIGNED addressed quality-centric data engineering, while WDAqua involved linked data and open data integration.
Cleopatra (2019-2023) focused specifically on cross-lingual event-centric analytics, signaling a move toward multilingual capabilities.
WDAqua included knowledge discovery, data visualisation, and verbalisation of database query results.
How they've shifted over time
In the early period (2015-2018), Wolters Kluwer engaged broadly across NLP fundamentals: question answering, entity recognition, speech recognition, linked data, and data quality — reflecting an exploration phase across multiple data technologies. By 2019, their focus narrowed toward multilingual and cross-lingual data analytics through Cleopatra, suggesting they identified multilingual content processing as the most strategically relevant capability for their core publishing and information services business.
Moving from broad NLP research participation toward specialized multilingual and cross-lingual analytics, likely driven by their need to serve professional information markets across European languages.
How they like to work
Wolters Kluwer never coordinated an H2020 project — they participated exclusively as a partner or third party, consistent with a large company providing industry grounding to research consortia. With 32 unique partners across 14 countries, they engaged with wide, diverse consortia rather than tight recurring partnerships. Their role was that of an industry host and requirements provider: contributing real-world datasets and use cases to academic-led training networks and research projects.
Collaborated with 32 partners across 14 countries, reflecting the broad multinational consortia typical of MSCA training networks. No visible geographic concentration — the network is pan-European.
What sets them apart
Wolters Kluwer brings something few academic or SME partners can: massive proprietary knowledge bases covering legal, tax, and regulatory content across multiple European languages. For consortia working on NLP, question answering, or multilingual analytics, they offer both real-world scale and industry-grade quality requirements. Their value lies in being a demanding end-user who can validate research outputs against actual professional information needs.
Highlights from their portfolio
- WDAquaAn MSCA training network spanning the full question-answering pipeline — from speech recognition to knowledge discovery — training 15 early-stage researchers across industry and academia.
- CleopatraCross-lingual event analytics research academy, notable for extending NLP research into multilingual territory with direct relevance to Wolters Kluwer's European publishing operations.
- ALIGNEDReceived EUR 614,375 in EC funding — their only directly funded project — focused on software and data engineering quality, a core concern for a professional information provider.