Graph databases work in conjunction with semantic technology to enhance data management and analysis. City Life brought this interesting topic to our attention in their article, “The Role of Graph Databases in Knowledge Graphs and Semantic Web.”
Graph databases are designed to store and represent data in the form of nodes and relationships, which makes them well-suited for modeling and querying highly interconnected data. Semantic technology, on the other hand, focuses on the meaning and relationships of data elements using semantic web standards like RDF (resource description framework) and OWL (web ontology language).
The role of graph databases in the realm of knowledge graphs and the semantic web has become increasingly significant in recent years. As the volume of data generated and consumed by organizations and individuals continues to grow exponentially, the need for efficient and effective ways to manage, store, and analyze this data becomes ever more critical.
Making data accessible is something we know. Whatever the search, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Choose the right partner in technology, especially when your content is in their hands. Access Innovations is known as a leader in database production, standards development, and creating and applying taxonomies.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.