Authors:
Fei Wang
1
;
Hao Fan
1
and
Gang Liu
2
Affiliations:
1
Wuhan University, China
;
2
Central China Normal University, China
Keyword(s):
Knowledge Fusion, Knowledge Service, Process Model, Implementation Pattern, System Framework.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
KM Strategies and Implementations
;
Knowledge Management and Information Sharing
;
Knowledge Management Projects
;
Knowledge-Based Systems
;
Symbolic Systems
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.