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Semantic Concept Tagging

Benefit from highly customizable and precise automated tagging and classification that you can operate in your own secure environment

Enterprises must be able to turn their data into knowledge assets in order to stay competitive. However, because data comes in large volumes, different formats, and types, organizations often have great difficulty ensuring that existing data can be specifically reused for the next steps such as analysis or reporting. This is where tagging comes in. Tags, or metadata, are information building blocks that help classify information assets, making them easier to find, use and link to each other.

However, manually tagging entire databases, file by file, is very time-consuming and involves a lot of people. To make matters worse, one of the common results of manual tagging is inconsistent search results. Even with clear guidelines, people end up developing their own way of assigning metadata and create inconsistencies. Therefore, manual tagging without controlled vocabularies is not scalable and doesn’t work for organizations that store large quantities of files.

This is why some of the world’s largest corporations use the PoolParty Semantic Suite and its world-class text-mining and entity extraction capabilities to automatically tag information assets with high precision. PoolParty is unique because it combines knowledge graphs, machine learning, natural language processing, and graph algorithms to better analyze text by not only processing words but understanding the underlying concepts and their context. As a result, our clients are able to create high-quality active metadata that improves search capabilities and build recommendation engines that deliver meaningful content.

According to Gartner’s report,“The metadata management market made a dramatic shift beginning in 2020, and its primary focus is now active metadata.”

Gartner Inc, : ‘Gartner Critical Capabilities for Metadata Management Solutions’ (Mark Beyer, et al, November 2020)

“Active metadata is artificial intelligence-enabled and includes capabilities to coordinate analysis in multiple data management tools and even engage in dynamically altering their operations at the highest maturity level. Importantly, advanced passive metadata concepts such as automated metadata collection and updates are not active metadata.”

Gartner Inc, : ‘Gartner Critical Capabilities for Metadata Management Solutions’ (Mark Beyer, et al, November 2020)

Useful Resources

Named Entity Recognition Demo: automatically extract concepts and terms from text.

GraphQL Demo: Search Springer Open Access Books and see PoolParty’s concept tagging in action.

Case Study: Find out how banking and insurance companies are benefiting from Knowledge Graphs.

How You Benefit From PoolParty Semantic Concept Tagging



PoolParty delivers world-class text-mining capabilities that allow for extremely precise automated tagging.


PoolParty isn’t another black box. It allows you to adjust and optimize tagging over time and improve underlying models.


You can run PoolParty in your own highly secure environment, no matter if it’s on-premise or in your own cloud.


PoolParty performs extremely well with large volumes of data and content.

Ease of use

Your content editors will have no problems using PoolParty because of its user-friendly interface.


Existing integrations are in place for MS SharePoint, Drupal and Adobe Experience Manager. PoolParty Semantic Concept Tagging is highly integrable with any enterprise content or data management system.

PoolParty’s vendor, Semantic Web Company, has been named a visionary in 2020 Gartner’s Magic Quadrant for Metadata Management Solutions. Among the strengths of the PoolParty solution, Gartner emphasizes the combination of first and second-generation machine learning, the beneficial combination of knowledge graphs and NLP, and the combination of text mining and semantic classification to develop a comprehensive set of tagging to support multiple scenarios.

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