Use an Enterprise Knowledge Graph?
Understand the advantages of deploying and using an Enterprise Knowledge Graph.
An Enterprise Knowledge Graph (EKG) models, integrates and accesses information assets within an organization using data and metadata.
An EKG enables organisations to connect and show meaningful relationships between data with a combination of:
- Knowledge representation structures
An EKG model helps organisations understand and organise data in a structured way. It can provide you with integrated, linked and reusable data (rather than data silos) and can easily evolve to reflect your organisation’s needs. - Information management processes
Through EKG, organisations can see meaningful relationships and incorporate updated datasets easily - Search and share using algorithms
EKG enables organisations to analyze their graphs to acquire new knowledge and reuse the data for various purposes. Formal semantics is the perfect tool for dealing with large volumes of data in various forms and unravelling complex relationships.
Semantic AI based on EKGs can be used for everything from searching and displaying information, as well as smart semantic AI applications.
Leveraging your enterprise knowledge graph can offer you more than just extracting and linking data, providing recommendations and insights.
5 ways to make the best use of an EKG
- Data Integration – Knowledge graphs can be used to integrate data from multiple sources into a single, unified view. This can facilitate a more streamlined and efficient analysis of data.
- Automated Reasoning – Knowledge graphs enable automated reasoning, which can be used to infer new information from existing data. This helps to enhance the accuracy of insights.
- Personalisation – Knowledge graphs can be used to customise services and experiences to meet the needs of individual users. This can improve the user experience and increase engagement.
- Natural Language Processing – Knowledge graphs can be used to help process natural language. This can enable a more accurate and efficient understanding of user input.
- Recommendation Systems – Knowledge graphs can be used to create more accurate and personalized recommendation systems. This can help to provide users with more relevant and useful recommendations.
Explore the EKG
Once you’ve created an Enterprise Knowledge Graph, you can use it to explore your data in a variety of ways.
Use the EKG to identify relationships between different data points.
The most basic way to explore a knowledge graph is to traverse it. A traversal starts at a particular node and follows the edges of the graph to explore what other nodes are connected to it. By traversing the graph, you can gain an understanding of the relationships between different entities.
Use the EKG to form a semantic understanding of the data.
A knowledge graph can be used to form a semantic understanding of data by connecting nodes and edges in different ways and using a query language to ask the graph questions about the data. By combining data from different nodes and edges, you can gain a better understanding of the relationships between different entities and draw insights from the data.
Use the EKG to identify correlations between data sets.
You can use a knowledge graph to draw insights from your data. By combining data from different nodes and edges, you can gain a better understanding of the relationships between different entities.
Use the EKG to identify patterns and trends in data.
It's easy to miss the differences in how data and relationships are depicted, as they can be subtle and hard to spot in a single view. But when you take a step back and look at thousands of entities and their connections, and use a powerful tool to interpret them, the patterns become more visible. That's when a knowledge graph can be most helpful, revealing facts that would otherwise go unnoticed. It can also be used to uncover new insights from data sets and make predictions about the future.
Use the EKG to create a dynamic data visualization.
You can use a visualization tool to create a dynamic visualization of the data. This can help to identify patterns and trends in the data.
With the right Enterprise Knowledge Graph, you can gain a deeper understanding of your organisation data and make better decisions about the future.
Let’s build together the foundation for knowledge and content management in your organisation.