Public Cultural Knowledge Graph Platform

Abstract

Recently the online public cultural services have grown fast. Massive cultural knowledge can be extracted from the big data generated by the services. The discovery, management, and analysis of the public cultural knowledge become critical tasks for improving the public cultural services. To address the issues, this paper proposes the public cultural knowledge platform that builds and maintains a knowledge graph by exploring the outside data and mining the internal cultural knowledge. The knowledge graph structures the public cultural information as a graph that consists of attributed cultural entities and relations of the entities. The public cultural knowledge can be discovered, fused, and analyzed. This paper also presents the architecture of the public cultural knowledge platform. With the help of the platform, the public cultural applications can provide users rich cultural knowledge instead of simple data. The platform help enhance the intelligent services of the applications as well. This paper shows example scenarios for depicting how the platform facilitates the public cultural recommendation.