Samsung Electronics Acquires UK Knowledge Graph Technology Startup ‘Oxford Semantic Technologies’
||2024.07.18
||2024.07.18
Samsung Electronics announced on the 16th that it has acquired Oxford Semantic Technologies, a UK startup with knowledge graph technology, in the UK.
Oxford Semantic Technologies was founded in 2017 by Oxford University professors Ian Horrocks, Boris Motik, and Bernardo Cuenca Grau. The startup possesses knowledge graph technology, which stores and processes data in a manner similar to human memory.
This technology plays a crucial role in integrating data and enhancing user understanding by representing related information in an interconnected graph format.
Knowledge graph technology particularly requires complex computations, and Oxford Semantic Technologies has succeeded in commercializing technology capable of optimized data processing and advanced reasoning.
Currently, it collaborates with various sectors in Europe and North America, including finance, manufacturing, and e-commerce.
Samsung Electronics has been collaborating with Oxford Semantic Technologies since 2018 to verify their technological capabilities. Through this acquisition, Samsung plans to secure core technology for the 'Personal Knowledge Graph.'
Peter Crocker, CEO of Oxford Semantic Technologies, expressed his anticipation, stating, "Through collaboration with Samsung Electronics, we can provide a more advanced personalized experience."
Kyung-Hoon Jeon, CTO and head of Samsung Research at Samsung Electronics' DX Division, said, "This acquisition will be a significant step for Samsung Electronics to enhance its global technological prowess in the field of data knowledge. Samsung plans to continuously introduce various AI technological innovations, providing differentiated personalized AI experiences across all products."
Samsung Electronics plans to apply this technology starting with the Galaxy S24 to various mobile devices, as well as TVs and home appliances, offering users a hyper-personalized experience.
In particular, by combining with on-device AI, it aims to strengthen personalized services while preventing the external leakage of sensitive personal information.
