Semantic Web Technology Solutions

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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

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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

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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

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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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