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Taxonomy & Thesaurus Management

Organize your knowledge and make information easy to find, use and analyze

Libraries would be of little use if they were unable to organize and catalog books. The same is true for business data. Business information is of very little value to an organization unless it is organized into a logical framework that enables its retrieval or analysis. More than a structure to organize content, it is also capable of representing domain-specific tacit knowledge in such a way that it becomes itself a source of knowledge and resource for further AI applications alongside the content it categorizes.

Creating a taxonomy based on a standard like SKOS is a efficient way to make accumulated knowledge more accessible and reusable. It helps companies find and make sense of the right information when it is needed in the shortest time possible.

Gartner predicts that by 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision making across the organization.

5 Key Actions for IT Leaders for Effective Decision Making (Andrew White, Mike Rollings, Gartner 2021)

Business challenges that taxonomy management addresses

In today’s fast paced environment, organizations who rely on convoluted spreadsheets and document sharing systems only will not be able to compete with companies who use intelligent methods of organizing their data.

Ineffective tooling

Spreadsheet software like Excel is popularly used for taxonomy management along with some freely available open source tools. Regularly, users quickly find out that these approaches do not scale for various reasons and are only suitable for small taxonomies.

Unclassified content

The lack of a clear classification scheme means that elaborately produced but poorly indexed content disappears undiscoverable.

Inconsistent vocabularies

The naming of things in companies often varies according to the department, the use or the jargon. Often there are two company vocabularies that (have to) come together through a merger. That is why modern knowledge management cannot do without synonym management, mapping and linking.

Disconnected delivery

Knowledge management can no longer be thought of as manual librarianship. Metadata management can only exist if it is fully connected to operational processes. Therefore, machine readability and standardization are now a must and the basis for all downsteam realized value.

PoolParty ranks higher than industry average in taxonomy and metadata management capabilities.

SoftwareReviews is a research service that collects unbiased reviews of software vendors capabilities and measures them across companies in the industry. Aside from the features referenced in the chart, PoolParty also got over 80% scores in Automation of Metadata and APIs and Integration capabilities.

PoolParty’s taxonomy management opens up new possibilities

Controlled vocabularies

Many organizations waste time and effort searching for data due to mislabeling or different terminology across departments. With PoolParty’s collaborative interface, departments can bundle synonymous terms under one concept and relate it to other concepts to reduce confusion while searching for information. This is especially pertinent to international companies that use different foreign languages in different offices – PoolParty’s multilingual capabilities allow you to create a cross-border language for your company.

Agile metadata

Organizations need to be able to pivot and shift based on growing trends within the market. Agile taxonomy management means that you can reuse and add data for other types of data models. The flexibility to continuously revise and update taxonomies by key stakeholders ensures that organizations stay relevant and up-to-date with consumer and industry demands alike.

Intelligent content

Taxonomies help connect the dots to understand how your information is structured, and build a strong foundation for search platforms that can retrieve results based on these connected dots. Having a structured taxonomy in combination with text mining capabilities, helps machines understand connections and hierarchies between all of your data – which can then suggest further information relevant to the user’s search.

Unlocked Semantic AI

Taxonomy management is the first step on the way to structured knowledge and data management based on a semantic layer that enables intelligent search platforms, recommendation programs, virtual assistants or even enterprise-wide content and knowledge hubs. The enterprise knowledge stored in the taxonomy can also serve as the foundation for advanced machine learning solutions such as Generative AI, Composite AI, Causal AI, and Explainable AI to shorten learning and focus domain truth.

Useful Resources


Check out the ultimate guide to taxonomies in business.

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Taxonomies, Knowledge Graphs and AI

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