Learn how Semantic AI is changing the way businesses organize and manage content with the help of automatic tagging, taxonomies, semantic search, and knowledge graphs.
Drowning in content? You’re not alone. While businesses race to create personalized experiences their customers will love, most are fighting a losing battle against an ever-growing mountain of digital assets. Recognizing this, Semantic Web Company (SWC) partnered with RWS in 2021 to enhance content management through semantic technologies. Now, with SWC and Ontotext joining forces to create Graphwise, the collaboration has evolved further, bringing even more powerful solutions to the market.
The partnership between Graphwise and RWS brings a solid approach to enterprise content and knowledge management, closing the gap between raw data and actionable insights. It seamlessly integrates Graphwise’s advanced semantic capabilities with RWS’ market-leading component content management system, Tridion. Instead of treating structured and unstructured data as isolated elements, the combined technologies transform enterprise content, improve content discovery and usability, and make enterprise knowledge AI-ready.
A quick look at content management systems
Traditional content management systems (CMS) help create and store content but often lack effective organization. A company’s CMS usually covers the whole content lifecycle and involves various stakeholders at different stages. When there are no set processes (or proper transmission when employees change), the naming conventions people use are often inconsistent or haphazard. As a result, the system becomes naturally cluttered over time and it becomes hard to find what we need. Various text documents, photos, videos, and spreadsheets remain inaccessible, leading to inefficiencies, lost opportunities, and poor decision-making.
In trying to address these challenges, more and more industries are using intelligent content authoring to increase efficiency and create better results. But before they can get there, they need to bring structure to their content and make it easily understandable for both people and machines. Integrating semantic AI technology turns content management into an easier task. It helps enterprises connect their critical content with their core knowledge models, improving searchability, reuse, personalized recommendations, and more.
Graphwise’s PoolParty: making things happen
A core element of Tridion Semantic AI is the tagging capabilities brought in by PoolParty. Tridion refers to this feature as Smart Tagging and it encompasses taxonomy management, automated tagging, and enhanced search capabilities. The result is streamlined content management processes that boost customer search experiences via personalization and intent-based recommendations.
Applying the semantic layer to classify content and ensure accuracy
Graphwise uses a “semantic layer” as the glue between users’ data/content and the experience they have in their front-end applications, like Tridion. The beauty of our OEM integration with Tridion is that all these capabilities are already available in the platform, so users can experience their benefits right away.
To transform enterprise content production processes, PoolParty helps organize content by automatically tagging it (extracting keywords from documents to create metadata) and classifying it (categorizing and clustering content). The resulting metadata and clusters allow enterprises to keep their information tidy and always at their fingertips. Tridion’s authoring tools suggest suitable tags as authors work on their content and allow them to decide whether to accept, reject, or update the tags if needed in real time.
An effective tagging strategy requires a well-structured taxonomy to organize the extracted tags. Taxonomies are systems that help arrange and manage knowledge by grouping related information in a structured way. They ensure that content is labeled correctly, making it more accessible and useful over time. Taxonomy-based tagging can group different terms under a single unified concept, which standardizes naming conventions. All in all, a strong taxonomy ensures consistency and accuracy, improving the way enterprises manage their content.
Tridion’s Taxonomy Space relies on global standards to help connect knowledge models across the enterprise so that information can be shared more effortlessly.
Enhancing discoverability with semantic search
Structuring and classifying content is not an end in itself but a means to enhance searchability and content discovery. Taxonomies and concept tags form the backbone of smart search systems, ensuring information is well-organized and easy to retrieve.
Since findability is essential for any intelligent CMS, semantic search is a critical component. Unlike traditional search engines, it analyzes the intent behind user queries, making searches more precise and effective. It also uses synonyms and concept relationships to deliver more relevant results. This enables users to locate content fast even if they don’t use exact keywords.
By using taxonomies and Smart Tagging, Tridion Semantic AI provides consistent and superior search results. Its dynamic filters and semantic search help match what users want to find with the right content, helping them complete their tasks quickly and smoothly.
Graphwise GraphDB: working behind the scenes
Tagging with PoolParty is not just about extracting important terms from documents, but linking content to a knowledge graph to give it rich context and meaning. With semantic metadata in a knowledge graph, documents are easier to index and search. Users can look for content tagged by author, topic, or type, or locate documents based on classification such as news vs. events.
Tridion Semantic AI uses the leading RDF database for knowledge graphs, GraphDB, as part of PoolParty Semantic Suite. In a recent article, Fraser Doig from RWS comments:
“What makes this particularly powerful is how these technical capabilities translate into practical benefits. When organizations need to scale their knowledge operations, the high-availability clustering ensures system reliability. When they need to integrate with existing systems, the multiple API options and Kafka integration enable real-time data flow. The platform isn’t just storing information – it’s making it actively usable across the enterprise.”
Putting it all together
For over 25 years, Tridion has supported enterprises in managing their content, “creating a world where content is always relevant.” By integrating advanced semantic capabilities into both its Web CMS and its CCMS, thanks to the Graphwise AI products, it significantly boosts user experiences. Based on the concepts defined in the taxonomy and tagging stages, Tridion’s search goes beyond finding similar documents or business objects. It considers context and meaning, ensuring smarter search and personalized content recommendations.
Uniting Graphwise’s extensive expertise in semantic AI with RWS’ leading intelligent content platform transforms how enterprises manage, discover, and optimize their content. As Graphwise continues to push the boundaries of semantic technology, its partnership with RWS sets a new standard for AI-based content management.