Research on Enterprise Knowledge Unified Retrieval Based on Industrial Big Data
Xu Zhang · 2018
Future industrial big data is the core asset of manufacturing enterprises. How to extract knowledge from mass and multi-modal data is a major challenge for manufacturing enterprises. The overall framework of enterprise knowledge retrieval based on industrial big data is proposed in this paper, which is analyzed from five levels: data source, multi-modal data management, data fusion modeling, knowledge acquisition and knowledge application. The knowledge graph technology is applied to multi-modal data association and the knowledge graph of enterprise radar product development is constructed. Based on knowledge graph, intelligent semantic retrieval and knowledge recommendation based on recommendation algorithm, we initially explored the utilization of industrial big data from the aspect of knowledge application. The enterprise knowledge unified retrieval method based on industrial big data proposed in this paper provides a reference for manufacturing enterprises to make use of industrial big data.