Ontotext Dynamic Semantic Publishing Demo
The Dynamic Semantic Publishing Platform is 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 combination of Ontotext GraphDB™ and other database engines used to store semantic indexes, entity profiles, linked open data and user behavior profiles.
- APIs for text analysis, model training, search, recommendations, content management and concept profiles.
- Tools used to build UIs for contextual authoring, enrichment monitoring, curation & quality assurance, template definition and other user applications.
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