Aiming at issues such as the inability of intelligent grid business data
to be integrated across disciplines, and the inability of data resources
to be intelligently analyzed and managed, a knowledge map construction
method based on a unified data center for the entire business is
proposed. On the basis of using big data technology to collect power
grid multi-source data in the unified data center of the whole business,
knowledge extraction is performed on structured, semi-structured, and
unstructured data using semantic annotation methods to obtain knowledge
entities, attributes, and relationships. Knowledge maps are constructed
through knowledge fusion technology, and intelligent recommendation
results and related information are recommended according to user search
content. Experiments show that this method improves the precision and
recall rate, and has better intelligent search and analysis
capabilities.