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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.


The acquisition process of knowledge resources online.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig4: The acquisition process of knowledge resources online.

Mentions: The acquisition process of knowledge resources online is shown in Figure 4. Because the network information is multiple and heterogeneous, we must make a choice, picking out websites related with design from the Internet sites. Obtaining and collecting useful knowledge from the target resources can be in two ways: regularly using the network crawling or describing, publishing, and calling resources via the web service. After obtained knowledge is organized, knowledge would be stored in repository. Finally, orderly knowledge will be pushed for users.


Research and application of knowledge resources network for product innovation.

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

The acquisition process of knowledge resources online.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig4: The acquisition process of knowledge resources online.
Mentions: The acquisition process of knowledge resources online is shown in Figure 4. Because the network information is multiple and heterogeneous, we must make a choice, picking out websites related with design from the Internet sites. Obtaining and collecting useful knowledge from the target resources can be in two ways: regularly using the network crawling or describing, publishing, and calling resources via the web service. After obtained knowledge is organized, knowledge would be stored in repository. Finally, orderly knowledge will be pushed for users.

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.