Ontotext transforms how organizations identify meaning across diverse databases and massive amounts of unstructured data by combining a semantic graph database with text mining, and machine learning.

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GraphDB An Enterprise Triplestore with Meaning

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Semantic Technologies for Smarter Information Retrieval and Content Management

Semantic Technology makes everything connected to anything and helps to build Linked Data through intricate models for representing information.

Ontotext provides a complete set of Semantic Technology enabling better content management, knowledge discovery and semantic search. The semantic approach enables your organization’s IT infrastructure to “know” and “remember” what your content is about.

Through text mining, semantic enrichment and data integration tools, the artificial divide between text and data is removed and content management, information retrieval and knowledge discovery reach new dimensions.

With the help of Semantic Technology that implement W3C standards, we assist organizations model, link, classify, store, query and make the best use of heterogeneous and evolving data. This, in turn, makes content accessible, easy to select, aggregate, measure and analyze, enhancing information retrieval and empowering knowledge discovery.

Building Solutions to Turn Content into Smart Data Pieces

Our customers choose us to help them create more flexible, integrated and holistic view on their data and content assets. With our products – GraphDB and Self-Service Semantic Suit (S4) we save organizations a considerable amount of time and financial resources for data management and text analysis.

Building solutions for a wide variety of industries and different domains of knowledge, we enable enterprises to cross the border between text and data and turn content into smart data pieces, allowing the query of content as if it were data.

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