In order to further extend the knowledge of manufacturing planning innovative design, a knowledge model oriented towards process innovative design and relevant retrieval methods are proposed. Before the discussions of characteristics of process knowledge and its expression, this paper presented the goal-based knowledge constituents and the ontology-based logical structure for management, regarding knowledge features and the scope of it. A knowledge organization model of manufacturing planning design is established, in which the function ontology and flow ontology are constructed under the framework of "function+flow+case", and the ontological expression of functions such as abstract flow, workpiece characteristics, and manufacturing resources is achieved. Through the combination of innovative methods and methods of manufacturing planning cases, a goal-oriented knowledge semantic model of manufacturing planning design is proposed. Based on the appositive and hyponymy extension of ontological terms related to function and flow, a process knowledge retrieval model aiming for innovative design, along with a prototype system, are established by means of the extended algorithm, semantic retrieval, and word segmentation.
GUO Xin
,
ZHAO Wu
,
WANG Jie
,
WANG Chen
,
ZHANG Kai
,
CHEN Ling
. A Study of Knowledge Modeling and Retrieval Methods Oriented Towards Innovative Design of Manufacturing Planning[J]. Journal of Mechanical Engineering, 2017
, 53(15)
: 66
-72
.
DOI: 10.3901/JME.2017.15.066
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