Build an Enterprise Knowledge Graph
Learn about the essential steps for building an Enterprise Knowledge Graph.
How to Build an Enterprise Knowledge Graph
An Enterprise Knowledge Graph (EKG) is a type of knowledge graph specifically designed for use in enterprises. It is an interconnected set of data, entities, and relationships that are designed to provide insights and decisions for an organization. It is typically used for tasks such as data integration, data enrichment, and analytics.
Building a knowledge graph can be a daunting task. It requires a thorough understanding of the domain, the data, and the technology used to construct the graph.
Building an Enterprise Knowledge Graph from scratch
There is no one-size-fits-all solution, each data challenge is unique. But we provide you here an overview of the basics needed to build a successful Enterprise Knowledge Graph, and the questions to focus on.
Step 1: Define your business needs
The first step in building an Enterprise Knowledge Graph is to gather requirements from stakeholders. This includes understanding the needs of the organization, the datasets that need to be integrated, and the type of insights that need to be provided.
Step 2: Collect Data
Identify the entities that you want to connect to start thinking about how they might be related. These entities can be anything from people, places, things, or concepts. Then collect relevant data. This data should be relevant to the domain, it can include structured or unstructured data (public databases, web scraping, and proprietary data sources…).
Step 3: Model the data
Once the data is collected, it needs to be modelled. This involves creating a schema that captures the structure of the data and the set of rules that determines how the entities will be connected. This schema should include the entities, the types of relationships that exist between entities, the properties of each entity and the rules for how they should be connected.
Once you have a schema, you can start to model the data. This involves creating a graph database that stores the entities and the relationships between them. There are several different tools available for this, such as Neo4j and Apache TinkerPop.
Step 4: Store the data
Now that the data has been modelled, it needs to be stored in a repository.
This includes selecting the right graph database, or file system, query language, and data integration tools.
The choice of repository and the technology stack will depend on the requirements of the knowledge graph, it is important to choose the right one.
Step 5: Design the Knowledge Graph
Now you can design your EKG.
This involves creating the nodes, edges, and rules that will govern the behavior of the graph. This should be done in collaboration with stakeholders, to ensure that the graph meets the needs of the organization.
Step 6: Use the Data
Step 7: Monitor and Maintain
Building an Enterprise Knowledge Graph from the ground up can be complex, but it is a valuable tool for making sense of large datasets and discovering connections between entities. By following these steps, you can create an EKG that is reliable, extensible, and scalable.
The best part about using an EKG is that it can be added to existing architectures without disrupting the system. If you already have a data management system and database in place, and your professional teams don’t want to lose their efforts, we can help you find the most effective solution to include the benefits of an EKG without destroying existing assets.
Building and using an EKG is also a way to think about data management with more openness, sharing, and accessibility.
The right technology can create a powerful resource for knowledge discovery and decision-making. You can also easily integrate external data into your EKG, giving you a comprehensive and up-to-date view of your business. Furthermore, implementing an EKG gives you the opportunity to improve knowledge sharing among employees.
With the right technology and data, you can create a powerful resource for knowledge discovery and decision making.
Let’s build together the foundation for knowledge and content management in your organisation.