Research and Application of Knowledge Resources Network for Product Innovation
1) Resource Acquisition Layer. According to knowledge
ontology modeling, the relationship between kinds of knowledge is established
and organized. A consistent representation of knowledge resources is provided
for semantic description. Ontology provides a formal representation of
relationships and concepts which belong to design knowledge oriented
innovation, in order to achieve abstract expression of knowledge on the
semantic level. Through ontology semantic classification and labeling, a series
of ordered and systematic annotation instances are obtained from knowledge
resources, in the way of the network crawling and the registration of web
services. Annotation instances obtained from the network are stored in the
repository under the organization of ontology.
(2) Knowledge Instance Layer. On one hand, the static
knowledge instances analyzed by researchers are stored in the platform. On the
other hand, the dynamic knowledge instances acquired in the way of the network
crawling and the registration of web services are also stored. The static or
dynamic knowledge instances can be seen as further expansion of the concept and
relationship of the knowledge ontology. There is a mutual link relation between
knowledge instances under the effect of ontology organization. Besides,
knowledge instances provide intellectual support for design activities
combining innovation design theory and utilizing innovation design process in
the application layer.
(3) Knowledge Push Layer. User model repository contains
all kinds of user model, and we had explained the construction of a specific
user model in detail in [25]. With the mining of web log, the actual condition
of user behaviors, such as scoring, collecting, sharing, commenting, browsing,
and clicking, and users’ interest about knowledge are gained. Finally,
according to finding the similar users, relevant knowledge is pushed in the
system.
(4) The Application Layer. In this layer the related
services of product innovation design are provided, including product
innovation design process and product innovation design theory support for
design process. Innovation design theory is applied to every stage of product
innovation design process. For example, in the requirements analysis phase,
common methods we used include cluster analysis, analytic hierarchy process,
and quality function deployment (QFD). These methods can be divided into
creative thinking method based on psychology, innovation design method based on
knowledge, the research of invention problem based on engineering technology
development rule, and innovation method based on artificial intelligence.
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