Using Knowledge Graphs to Enhance Queries over Heterogeneous Asset Stores

As media organizations accumulate diverse data from various sources, the need for effective data integration and information retrieval becomes increasingly critical. Graph databases offer a flexible and efficient platform for integration by leveraging graph-based data models and querying mechanisms. Graph databases can seamlessly integrate disparate data sets regardless of their original format or structure. Knowledge can be added to the graph through the application of semantic meaning to the data. Knowledge graphs can be enhanced with results of Machine Learning algorithms that extract additional information from the underlying data. This paper will demonstrate how knowledge graphs offer unique capabilities for understanding patterns over collections of large data sets.

Published

2023-10

Content type

Original Research

Keywords

Knowledge Graphs, Data Integration, Semantic Understanding, Machine Learning

DOI

10.5594/M002010

ISBN

978-1-61482-964-5