Construction And Application Of Domain Intelligence Analysis Knowledge Base

In the data intensive scientific research environment,the multi-source and large-scale data have brought a great impact on the traditional information research in the aspects of semantic storage and intelligent processing.The technology domain database or knowledge base that has been built is designed for knowledge organization and storage semantically.They cannot be associated with the tacit knowledge of the experts,and they are separated from the intelligence analysis model in structural design.Therefore,semantic knowledge retrieval,semantic knowledge recommendation and information analysis are difficult to complete in these tools.In order to cope with the challenges of big data,this paper puts forward the concept of intelligence analysis knowledge base(IAKB).And based on the requirement analysis and the target analysis,this paper constructs trinity IAKB system architecture,which includes the data storage platform,the domain knowledge system and the information analysis model library.These three parts interact with each other to realize the storage,management,calculation and reuse of large-scale knowledge to support intelligent information research products and services.This article follows the writing logic which from the construction research,the key technology research to the application research.First,according to the research background and basic theory,this paper puts forward the concept and system structure of IAKB,and carries out function module design and main interface design.Secondly,the key technologies of the core part of IAKB are studied,and he two parts of the construction of text semantic space model and domain expert knowledge map are introduced in detail.Text semantic space model includes text set,the contribution set of feature word and the semantic association set between feature words,which construction methods include NLP,TF-IDF and Word2vec training.The expert knowledge map includes three parts:expert cooperation network,terminology association network and expert and terminology association,which construction methods include FP-tree and separate chaining.Finally,this paper studies the application of information research knowledge base.It mainly includes application scheme design,semantic retrieval,expert knowledge map application and intelligence analysis and mining.