Purpose: This paper introduces an amino acids industry knowledge service platform, which integrates industry data, science literature, and technology knowledge from patents.
Design/methodology/approach: From the perspective of knowledge organization, the amino acids industry knowledge service platform comprises a basic data layer, a knowledge representation layer, and a knowledge service layer. The platform integrates heterogeneous information sources by means of a multi-dimensional integration index. It enables users to find technology knowledge from patents by employing the semantic Theory of Inventive Problem Solving (TRIZ).
Findings: This paper constructs an integrated amino acids industry database, which offers a general service oriented to the public, and a technical innovation knowledge base, which offers a value-added service oriented to enterprises.
Research limitations: The technical innovation knowledge base only includes parts of amino acids technology knowledge, making it suitable to meet certain specific needs.
Practical implications: Semantic annotation of technical innovation knowledge from patents requires manual work by domain experts.
Originality/value: The amino acids industry knowledge service platform offers not only an integrated search service for amino acids industry information, but also a deep tech mining service for technical innovation knowledge of amino acids. It will offer a more personalized knowledge service in the future.
English Abstract:
Purpose: This paper introduces an amino acids industry knowledge service platform, which integrates industry data, science literature, and technology knowledge from patents.
Design/methodology/approach: From the perspective of knowledge organization, the amino acids industry knowledge service platform comprises a basic data layer, a knowledge representation layer, and a knowledge service layer. The platform integrates heterogeneous information sources by means of a multi-dimensional integration index. It enables users to find technology knowledge from patents by employing the semantic Theory of Inventive Problem Solving (TRIZ).
Findings: This paper constructs an integrated amino acids industry database, which offers a general service oriented to the public, and a technical innovation knowledge base, which offers a value-added service oriented to enterprises.
Research limitations: The technical innovation knowledge base only includes parts of amino acids technology knowledge, making it suitable to meet certain specific needs.
Practical implications: Semantic annotation of technical innovation knowledge from patents requires manual work by domain experts.
Originality/value: The amino acids industry knowledge service platform offers not only an integrated search service for amino acids industry information, but also a deep tech mining service for technical innovation knowledge of amino acids. It will offer a more personalized knowledge service in the future.
The work is supported by the Chinese Academy of Sciences
Funder:
Prof. Jibing SUN from Tianjin Institute of Industrial Biotechnology of the Chinese Academy of Sciences
; Prof. Ping ZHENG from Tianjin Institute of Industrial Biotechnology of the Chinese Academy of Sciences
1.Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu 610041, China 2.School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China 3.Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China 4.University of Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation:
WEN Yi,FU Hongguang,Shu FANG,et al. Amino acids industry knowledge service platform[J]. Chinese Journal of Library and Information Science,2015,8(4):78-89.
