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In the public information of government affairs, the public information of government procurement is more and more timely and complete, which makes it possible for the public to have a comprehensive understanding, in-depth analysis and intelligent use of government procurement information. This paper proposes a process for constructing government procurement knowledge graph: obtaining the bid-winning announcement information through web crawler technology, constructing the government procurement ontology by combining the professional knowledge of government procurement and professional standards and norms, and using Protégé, D2rq, Neo4j and other software to realize ontology instantiation, entity extraction, N-Triples storage. The establishment of knowledge graph for government procurement establishes a strong, convenient and efficient foundation for the public to inquire government procurement information, count government procurement content and analyze the relationship between government procurement.

Constructing government procurement knowledge graph based on crawler data