Semantic Web Technology Solutions


Easily Create and Personalize Content with Semantic Publishing Consisting of a set of databases, machine learning algorithms, APIs and tools we use to build solutions for news, educational, scientific, academic and other publishers. At a high level, the platform consists of: Machine learning models for text analysis, disambiguation of entities, concept extraction and classification. A set of databases to store semantic indexes, consolidated entity profiles, linked open data and user behavior profiles. Learn more


The Ontotext Insights Platform was built to address very specific domain needs within the life sciences and healthcare industries. The Ontotext Insights Platform has: Semantic annotation pipelines to extract meaning from patient data and research documents using more than 100 different semantic types. Automatically recognize complex biomedical terms using tested “bio-medical tagging algorithms.” A semantically rich knowledge base with domain specific classifications allowing you to match and classify extracted terms for greater insights. Learn more


The Ontotext Document Discovery platform combines text mining, GraphDB™ and a knowledge base of terms to provide highly relevant search results down to the paragraph level across massive sets of unstructured data.  We used this platform to build “OpenPolicy™”  which was co-developed with our partner, LMI in Tyson’s Corner, Virginia. Any type of documents can be used to create solutions that leverage this platform. Learn more


Ontotext has delivered semantic solutions for cultural heritage organizations in support of collaborative research, high performance loading and querying of multiple semantic repositories simultaneously, creative re-use of meta data, knowledge representation, artifact aggregation, data silo integration and search applications for research and scientific information. Learn more

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