Abstract
In big data environments, knowledge fusion is the necessary prerequisite and effective approach to implement knowledge service. This paper firstly analyses the requirements of big data knowledge service and the contents of knowledge fusion, constructs a multi-level architecture of knowledge service based on knowledge fusion. Then, this paper presents a design of a knowledge fusion process model and analyses its implementation patterns. Finally, a system framework of big data knowledge service is proposed based on knowledge fusion processes, in which processes of both knowledge fusion and knowledge service are organically combined together to provide an effective solution to achieve personalized, multi-level and innovative knowledge service.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.