Project description
Knowledge graphs from all scales
A knowledge graph is a programmatic way of modelling a knowledge domain with the help of subject-matter experts, data interlinking, and machine learning algorithms. Used by several software giants, they are regarded as key enablers for various technologies including question answering, personal assistants and artificial intelligence across all sectors. Their use is currently unattainable for the majority of companies and private users. The EU-funded project KnowGraphs aims to scale knowledge graphs, making them accessible to a wide audience of companies of all sizes. The project also helps end users across their professional and private life by using a multi-disciplinary and multi-sectorial approach.
Objective
Knowledge graphs (KGs) are a flexible knowledge representation paradigm intended to allow knowledge to be consumed by humans and machines. Hence, they are regarded as a key enabler for a number of technologies including question answering, personal assistants and artificial intelligence across all sectors including Industry 4.0 personalized medicine, legislation, economics and more. While different implementations of the KG paradigm are now used by several large companies (incl. Microsoft, Google, Facebook, Amazon, Samsung, Ebay and IBM) as a key component of their data products, their use is currently unattainable for the majority of companies and private users. Custom formal representation mechanisms, organisation-specific storage solutions and query languages as well as large dedicated maintenance teams (often 100+ people per graph) are only some of the current challenges faced by organizations aiming to manage KGs at scale. Developing and maintaining a company-specific infrastructure to represent, construct and maintain KGs is only viable for large organisations able to afford the corresponding costs. In addition, a plethora of open questions pertaining to the transfer, applicability and integration of legal rights of knowledge graphs remain completely unsolved. The overall objective of KnowGraphs (summarized in Figure 1.1) is to scale knowledge graphs to be accessible to a wide audience of (1) companies of all sizes and (2) end users across their professional and private life by using a multi-disciplinary and multi-sectorial approach.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Programme(s)
Coordinator
33098 Paderborn
Germany