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Research and application of knowledge resources network for product innovation.

Li C, Li WQ, Li Y, Na HZ, Shi Q - ScientificWorldJournal (2015)

Bottom Line: Through knowledge modeling for product innovation based on ontology, the integrated architecture of knowledge resources network is put forward.Knowledge active push is provided for users by user behavior analysis and knowledge evaluation in order to improve users' enthusiasm for participation in platform.Finally, an application example is illustrated to prove the effectiveness of the method.

View Article: PubMed Central - PubMed

Affiliation: School of Manufacturing Science & Engineering, Sichuan University, Chengdu 610065, China.

ABSTRACT
In order to enhance the capabilities of knowledge service in product innovation design service platform, a method of acquiring knowledge resources supporting for product innovation from the Internet and providing knowledge active push is proposed. Through knowledge modeling for product innovation based on ontology, the integrated architecture of knowledge resources network is put forward. The technology for the acquisition of network knowledge resources based on focused crawler and web services is studied. Knowledge active push is provided for users by user behavior analysis and knowledge evaluation in order to improve users' enthusiasm for participation in platform. Finally, an application example is illustrated to prove the effectiveness of the method.

No MeSH data available.


Interface of knowledge evaluation and active push.
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Related In: Results  -  Collection


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fig10: Interface of knowledge evaluation and active push.

Mentions: Figure 10 illustrates the graphical interface for knowledge evaluation and knowledge active push. Graphical and literature knowledge from patent repository are shown in this figure. After a designer reads this piece of knowledge, he may evaluate this knowledge through some behaviors, like grading, collecting, sharing, and commenting. When the knowledge push button is clicked, pieces of relative knowledge are pushed to the designer.


Research and application of knowledge resources network for product innovation.

Li C, Li WQ, Li Y, Na HZ, Shi Q - ScientificWorldJournal (2015)

Interface of knowledge evaluation and active push.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4390180&req=5

fig10: Interface of knowledge evaluation and active push.
Mentions: Figure 10 illustrates the graphical interface for knowledge evaluation and knowledge active push. Graphical and literature knowledge from patent repository are shown in this figure. After a designer reads this piece of knowledge, he may evaluate this knowledge through some behaviors, like grading, collecting, sharing, and commenting. When the knowledge push button is clicked, pieces of relative knowledge are pushed to the designer.

Bottom Line: Through knowledge modeling for product innovation based on ontology, the integrated architecture of knowledge resources network is put forward.Knowledge active push is provided for users by user behavior analysis and knowledge evaluation in order to improve users' enthusiasm for participation in platform.Finally, an application example is illustrated to prove the effectiveness of the method.

View Article: PubMed Central - PubMed

Affiliation: School of Manufacturing Science & Engineering, Sichuan University, Chengdu 610065, China.

ABSTRACT
In order to enhance the capabilities of knowledge service in product innovation design service platform, a method of acquiring knowledge resources supporting for product innovation from the Internet and providing knowledge active push is proposed. Through knowledge modeling for product innovation based on ontology, the integrated architecture of knowledge resources network is put forward. The technology for the acquisition of network knowledge resources based on focused crawler and web services is studied. Knowledge active push is provided for users by user behavior analysis and knowledge evaluation in order to improve users' enthusiasm for participation in platform. Finally, an application example is illustrated to prove the effectiveness of the method.

No MeSH data available.