百度 ” 窃以为，同为企业家，境界是有差别的。
CNKI EXPRESS 2.0 (a unified discovery platform for literature in Chinese and other languages, namely the KNS8.0) is a new platform that integrates and unifies the APP with the PC knowledge network system (KNS). Its main features are "complete" and "fast", by which it realizes the unified integration and quick delivery of global resources. It applies the intelligent subject retrieval and forms eight “unified” service standards:
1.Unified access and publishing of global academic literature: Users will have one-click access to over 300 million literature from more than 600 international publishing houses in 65 countries and regions around the world on this platform.
2.Unified language input: global knowledge can be accessed by inputting one language.
3.Unified search system: provides users with unified search service for literature in Chinese and other languages, by various search fields of subject, keyword, full text, article title, author, abstract, fund, journal title, etc.
4.Unified discovery mechanism: All search results are sorted by time under subject-related conditions and the latest content is ranked at the front based on CNKI intelligent indexing technology, which guarantees the fast dissemination of global knowledge.
5.Unified journal recommendation mechanism: CNKI CI index (comprehensive influence index) is applied to evaluate the global journals and realize unified ranking, so that Chinese journals can compete with international journals in specific disciplines with the same chance of being discovered.
6.Unified knowledge network: sets up a global knowledge network (including subject network, author affiliation network, citation network, project network and publishing source network) with a single literature as the node which will extend to all the knowledge in the relevant fields.
7.Unified reading method: provides four reading formats (HTML, CAJ, PDF, and EPUB) for all the literature and supports comparative reading of two documents.
8.Unified personalized service: builds the user demand model to provide intelligent literature recommendation service based on the knowledge acquisition behavior analysis technology of individual users and institutional users, and supports users to build their own personal digital library.
