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Ontotext text mining, semantic search, and graph database


Ontotext blends text mining, semantic annotation and semantic search with a graph database that infers new meaning at scale, helping organizations find meaning in large volumes of structured and unstructured data.



By Tony Agresta, Sept 2014.

Ontotext Ontotext provides a complete set of semantic technology transforming how organizations identify meaning across massive amounts of unstructured data. Ontotext blends text mining, powerful SPARQL queries, semantic annotation and semantic search with an RDF graph database (GraphDB™) that infers new meaning at scale.

Ontotext GraphDB

Today, Ontotext is used to power the world's largest media websites and supports knowledge management applications using tens of billions of semantic facts in publishing, healthcare, life sciences, financial services, governments, museums and archives. Ontotext technology delivers highly relevant search results for improved decision making - all in real time.

Ontotext also provides S4 - The Self Services Semantic Suite - allowing developers to build text mining and semantic applications in the cloud. S4 includes text mining, reliable access to Linked Open Data for entity enrichment, GraphDB™ and developer tools.

Ontotext Semantic Platform

S4 is available in a hosted environment with a pay-as-you-go model.

To find out more about Ontotext visit www.ontotext.com

Check also webinar:

Not All Graph Databases Are Created Equally - An Interview with Atanas Kiryakov,
Sep 30, 8 am PT, 11 am ET

The CEO and Founder of Ontotext, Atanas Kiryakov, is a 14 year veteran of semantic technology. He will discuss the use of graph databases, text mining and semantic tools to make sense of your text and data.