Amino acids industry knowledge service platform
Wen Yi, Hongguang Fu, Shu Fang, LI Qing-gang, Zhengyin Hu, Chunjiang Liu, Ning Yang, Xian Zhang, Yuan Xu, Chenjun Ding, Yuexian Zhu · CAS OpenIR (Chinese Academy of Sciences) · 2015
\tPurpose: 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.