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Concept Tagging

Benefit from highly customizable and precise automated tagging and classification 

Enterprises must be able to turn their data into knowledge assets in order to stay competitive. However, because data comes in large volumes and different formats, 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 semantic 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. Automated tagging not only improves knowledge management workflows, it also improves the quality of the content you provide to your customers. Using PoolParty Semantic Suite’s advanced tagging capabilities, organizations can create high-quality active metadata that improves search capabilities and builds recommendation engines that deliver meaningful content.

“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)

The biggest challenges for organizations who are not utilizing automated semantic tagging.


Error-prone data

A common result 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.


Quality of tags decreases over time

Tags may still be valid when creating new content, but what if the knowledge domain continues to evolve as new things and trends emerge? Inaccurate metadata creates large enterprise search challenges, wasting time and resources. Only automated tagging based on controlled domain vocabularies can cope with this dynamic. 

Useful Resources

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


Case Study: Find out how a leading consulting firm is using auto-tagging. 

The biggest changes organizations can leverage with PoolParty’s concept tagging.

Among the many benefits of semantic tagging, the biggest takeaway is rich metadata, which has a positive effect on both the internal workflow and external customer experience. With a semantic layer on top of your information architecture, you can analyze and create rich metadata automatically. Using powerful tagging processes to create metadata, you can bridge data silos, increase transparency to meet regulatory compliance and make business rules, and drastically improve user search experiences. Tagging with PoolParty is not just about extracting important terms from text, but the ability to link data and content to a comprehensive knowledge graph, enriching it with rich contextual information.

Suppose you are an e-commerce retailer who sells a range of items that is filterable by a number of factors such as type of garment, color, size, price point, etc. Tagging items to create rich metadata will improve the search engine’s ability to return relevant results because it grabs for the meaning associated with the tags. For any organization using search platforms, tagging content supports sophisticated personalization and navigation features that benefit your users.

Experience the major benefits of concept tagging with PoolParty Semantic Suite today.



Along with manual tagging being quite the tedious process, it is also prone to errors and inconsistencies. PoolParty delivers world-class text-mining capabilities through entity extractors and NLP to allow for extremely precise automated tagging. This precision results in accurate data that can be better filtered on user search platforms, ultimately improving customer experience.


Manual tagging processes often require that a team of content or knowledge managers audit each and every document by hand. Not only does PoolParty’s semantic tagging automate this process, it is also done on a platform that is celebrated for its user-friendly interface. Even with little background in IT, knowledge teams can access all of PoolParty’s tagging benefits at a very low learning curve.


PoolParty already has out-of-the-box integrations with widely used platforms like SharePoint and Drupal, and thanks to its rich API it is highly integrable with any enterprise content or data management system. With PoolParty Semantic Suite, you can transform your workflow without making any major changes to your existing systems.