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“Transform data into knowledge with PoolParty Semantic Suite and Amazon Neptune”

Two of Semantic Web Company’s Data & Knowledge Engineers Ioanna Lytra and Albin Ahmeti have published an article about knowledge graphs and integrations with PoolParty and Amazon’s graph database, Neptune. Featured in Amazon Web Service’s (AWS) database blog, the article addresses the ultimate goal of turning data into knowledge using PoolParty Semantic Suite and Neptune’s semantic capabilities.

As stated by the authors, “the integration of PoolParty with Neptune is possible because of the Semantic Web and each tool supporting the Resource Description Framework (RDF) and SPARQL 1.1. This means that you can simply add data into Neptune and manage it in PoolParty, or vice versa.”

A multi-step approach:

Ioanna and Albin’s article provides a step by step approach to using knowledge graphs in the Semantic Web Company and AWS platforms. These steps are comprised of the following:

  1. Building a knowledge graph
  2. Creating links within the data
  3. Linking unstructured data
  4. Connecting to AWS Neptune
  5. Editing and maintaining the knowledge graph in PoolParty

A practical use case

Follow the figurative use case of Amalia Chater, a backend developer whose CV is being viewed by HR managers for hiring. Through the use of PoolParty and AWS Neptune, these HR managers can access the CV stored in Sharepoint and link it to external information regarding the job posting as well as external research such as average local salaries. Using these semantic integrations that connects all relevant material, the HR recruiting process is streamlined and optimized to get the best candidate. For content related to HR use cases,, try our free demo of the HR Recommender, a semantic “matchmaking” tool that can be used to connect employees to each other and projects using knowledge graphs and recommendation systems.

To read more about this powerful semantic solution, check out Ioanna and Albin’s article on the AWS blog here.