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Wolters Kluwer (WK) is a global provider of information, software and services for legal, tax, accounting, health, and risk and compliance professionals. WK’s strategy [1] involves continuous innovation and expansion of expert solutions, including extensive use of domain knowledge, increasingly represented in the WK Knowledge Graph (KG). KGs are a flexible knowledge representation paradigm intended to facilitate the processing of knowledge for both humans and machines. They are based on standard Semantic Web technologies and are widely regarded as a key enabler for several increasingly popular use cases, including Web search, question answering, personal assistants and enabling other AI-based applications across most industry sectors, including the legal market. KGs are quite often generic, fragmented and incomplete, which limits their usage and coverage potential. In an industrial environment, knowledge models like KGs, controlled vocabularies and thesauri need to be combined from heterogeneous sources, mainly via mapping mechanisms. Creating an enterprise KG requires a lot of intellectual and manual knowledge work in order to end up with a scalable and sustainable result.

Enabling Digital Business Transformation Through an Enterprise Knowledge Graph