Knowledge Graph Technology Showcase: Influencer Calls PoolParty a “One-stop-shop”
With Data Science Influencer Ashleigh Faith
When Semantic Web Company’s Helmut Nagy and Heather Hedden were invited to participate in the “Knowledge Graph Technology Showcase” hosted by YouTube influencer Ashleigh Faith, what emerged was an honest review of PoolParty as a robust suite of semantic tools. Ashleigh Faith, the creator of the data science YouTube channel that focuses on all things semantic web and machine learning, described the PoolParty Semantic Suite as a one-stop-shop for data practitioners.
With multiple academic degrees in information architecture and semantic data science as well as her professional experience in the industry, Ashleigh knows firsthand the benefits of knowledge graphs in a business context. On YouTube, she has curated a space that features her honest reviews of semantic software and how the barebone structures of the semantic web like taxonomies, ontologies, knowledge graphs, etc. work.
Along with the “Knowledge Graph Technology Showcase” that PoolParty was featured in, some of Ashleigh’s unique serie playlists on her channel include:
PoolParty closes out the show
As the final episode of Ashleigh’s 8-part video collection that reviews different softwares of the semantic web industry, PoolParty was described by Ashleigh as a “jack of all semantic trades.” Ashleigh first begins her video by saying that from her own experience with PoolParty in the past, she readily recommends the tool to other people who are finally getting serious with semantic technologies.
Following Ashleigh’s introduction, SWC’s Helmut and Heather each gave an explanation of how PoolParty is helpful from their own experience and perspectives. In his role as director of the customer support team and CFO, Helmut said that one of the main reasons companies come to SWC is to “bring together all their data pools, structured and unstructured databases and documents, and make better use of them — to make better decisions, better satisfaction of the customers when they consume the services they provide, and to support knowledge discovery.”
Heather and Helmut’s demos of the product included how users could build taxonomies and ontologies in the backend, as well as how an end-user application could be modelled on top of the systems that were just built in the PoolParty platform.
In this front-end user application, you can assume the role of a hypothetical employee, Beverly Neal. Based on your profile as Beverly, you can be recommended colleagues to connect to and work with on projects based on filters you have toggled, e.g. programming skills, interests, etc. Within this knowledge graph, you can also be recommended certain job roles to move up to within your organization and projects that you could be useful for based on your strengths. Check out our free demo >
Taxonomy & ontology management in the backend
From the PoolParty backend, you can build and maintain your taxonomy. Heather shows you how you can add new terms and concepts, make them narrower or broader based on SKOS standards, edit their labels, and so on. In her assessment of the PoolParty Taxonomy Server, Ashleigh praises the usability of the platform, highlighting the user-friendly color coding, multilingual capabilities, and quick drag-and-drop of terms to reposition the hierarchy.
In the Ontology Server, Heather and Helmut show you how you can add relations between concepts and terms. Users can easily assign classes to concepts and visualize relations in the model. The Ontology Server can support the integration of external ontology models (FIBO, SKOS, DC) as well as the creation of your own. These servers also allow you to integrate and reuse linked data.
Entity Recognition Demo
Here, Helmut shows you how to use the semantic entity extractor tool that is based on a knowledge graph and machine learning algorithms for Named Entity Recognition (NER). Using a text from a medical journal and a controlled vocabulary through the MeSH database, you can extract terms to detect the following:
- Named Entities, extracted through statistical NER (Named Entity Recognition).
- Concepts, extracted through Concept extraction from the PoolParty Thesaurus.
- Important terms, identified through text analysis.
- Document genre, identified by statistical classification.
Graph Search Demo
The final demo shows Helmut explaining how PoolParty Graph Search works. While this particular demo highlights how it can be used in an HR scenario, Graph Search is useful for linking internal and external data sources in one user-friendly interface for better analytics, and search. Helmut shows how you can search for employees and view all their employee information such as skills, salaries, etc. With this search, you can also be recommended similar employees with its recommendation capabilities. Check out our free demo >
The Knowledge Graph Technology Showcase
By the end of the showcase, Ashleigh had praised the PoolParty Semantic Suite for seeming to “have a solution for almost every aspect of the semantic space.” To hear directly from Ashleigh, Heather, and Helmut about how PoolParty works and can benefit your business, check out Ashleigh’s video on her YouTube channel!