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These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledgediscovery. Again, the overall aim is to extract knowledge from data and, through algorithms based on artificial intelligence, to assist medical professionals in routine diagnostics processes.
Lance Paine, Director and Principal Semantic Consultant at Semantic Partners presenting at KGF 2023 These ideas were further addressed at the panel “How can organizations streamline and speed up knowledge graph implementation of enterprise semantic applications?”.
In order to realize a Data Fabric, there are practical steps needed to bring knowledge graphs to enterprises. If needed, Ontotext’s consultants and partners can advise you on your data management strategy and plans. Clarify your business and expert requirements. Gather and analyze relevant data. Maximize the usability of your data.
Graphs boost knowledgediscovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Enterprise Knowledge (EK) is one of our partners who have implemented Ontotext’s RDF database for knowledge graphs GraphDB in their innovative solutions.
Categories: An entity can be associated with categories that describe some aspect of its semantics, e.g., “Big Four consultants” or “XIX century composers.” Knowledge graphs expressed in RDF provide this as well as numerous applications in data and information-heavy services.
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