System Construction and Ethical Reflection of Knowledge Services from Perspective of Small Data
Knowledge service intelligence is an important part of the national strategy for the digitalization of education and culture.In the midst of the big data technology boom,there is an urgent need to think dispassionately about the value of small data.Firstly,the article analyzes the four user types of small data in the potential,growth,maturity and decline periods,explains its individual uniqueness,real-time dynamics and moderately controllable characteristics,and summarizes the three types of small data sources and their structure,including static data,dynamic data and third-party data.Secondly,under the guidance of the third-generation artificial intelligence driven by both data and knowledge,it constructs the knowledge service system from the perspective of small data.It takes knowledge graph as the cornerstone and user profile as the core,proposing that the new knowledge services need to integrate multimodal data to optimize the accuracy of user profile,promote the cognitive nature of knowledge management using knowledge graph as the engine,and insist on the principle of viewing application as the king to enhance the diversity of knowledge services.Finally,it analyzes the interaction reconstructed by small data between users and knowledge,and reflects on the ethical challenges from the viewpoints of values,justice and freedom.
small dataknowledge graphuser profileknowledge servicesystem constructionethical reflection
NETL
NSTL
万方数据
