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Ontotext Improves Its RDF Triplestore, GraphDB 6.0: Enterprise Resilience, Faster Loading Speeds and Connectors to Full-Text Search Engines Top the List of Enhancements - 12 News KBMT and K-JAC. News, Weather and Sports for SE Texas

Ontotext Improves Its RDF Triplestore, GraphDB 6.0: Enterprise Resilience, Faster Loading Speeds and Connectors to Full-Text Search Engines Top the List of Enhancements

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Today, Ontotext released GraphDB 6.0 including enhancements to the high availability enterprise replication cluster, faster loading speeds, higher update rates and connectors for Lucene, SOLR and Elasticsearch. GraphDB 6.0 is the next major release of OWLIM the triplestore known for its outstanding support for OWL 2 and SPARQL 1.1 that already powers some of the most impressive RDF database showcases.

Sofia, Bulgaria (PRWEB) August 20, 2014

GraphDB 6.0 from Ontotext was released today including improvements to the enterprise replication cluster, faster loading speeds, higher update rates and connectors for Lucene, SOLR and Elasticsearch. This release happens to coincide with a name change for this high performance triplestore GraphDB was formerly known as OWLIM. Now, organizations interested in deploying the only mature enterprise resilient RDF triplestore will also benefit from advanced search functionality using the best full-text search engines without additional integration and synchronization efforts.

Customers like BBC have had great success with our high availability enterprise replication cluster reports Atanas Kiryakov, Executive Director and Founder of Ontotext. Because of this, we improved the cluster architecture to guarantee even higher fault tolerance, faster recovery mechanisms and reliable synchronization across geographically remote data centers. In addition, we improved loading speeds by 3 to 5 times. Tests against 10s of billions of triples indicate approximately 300,000 RDF statements loaded per second on a single commodity database server.

GraphDB Connectors allow for integration with search engines and NoSQL databases. Currently, connectors for SOLR, Lucene and Elasticsearch are supported. Ontotext reports they are testing others as well. The SOLR connector has already been deployed allowing SOLR queries to be embedded as part of SPARQL queries. The connector takes care of synchronization allowing for updates in the RDF database to instantly trigger updates of the SOLR indices. When transactions in GraphDB are committed and complete, SOLR's indices are already updated and ready to be used.

GraphDB has long been known for its ability to infer new RDF statements at scale and retract them when needed, reports Dimitar Manov, Head of GraphDB Engineering. In the area of scalability, we are committed to extending our leadership position and have also improved update rates even when massive query loads are served in parallel. We can handle 3 times as many updates as our prior release and this extends to delete operations as well.

Ontotext is the only triplestore provider that also offers integrated text mining allowing for entities to be identified, extracted and classified from free flowing text.    Many Ontotext customers use this natural language processing capability and concept extraction to create semantic facts. Ontotext supports a powerful blend of optimized inferencing and identity resolution. Its the combination of the graph database, inferencing engine and text mining that has allowed Ontotext to deliver complete solutions in Media & Publishing, Life Sciences, Government, Document Management and Museums & Archives. Ontotext also recently released a complete set of tools and semantic technology allowing developers to build their own applications. Ontotext S4, The Self Service Semantic Suite, runs in the cloud using a low cost, pay-as-you-go model in support of small and mid-size businesses.

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

Ontotext also just released Ontotext S4, The Self Service Semantic Suite allowing developers to build text mining and semantic applications in the cloud. S4 includes text mining, reliable access to Linked Open data (Freebase, DBpedia, GeoNames) to enrich entities extracted from text, a set of tools for developers and GraphDB. S4 is available in a hosted environment with a pay-as-you-go model at low cost allowing small and mid-size businesses to use enterprise hardened technology at a fraction of the cost. Applications built using S4 can be deployed in the cloud or on premise.

To find out more about our semantic platform and Ontotext Media & Publishing, Ontotext Life Sciences and Ontotext Compliance and Document Management, visit http://www.ontotext.com

Contact Info and Websites

Tony Agresta
Ontotext USA
tony.agresta(at)ontotext(dot)com
443-253-6810

Brad Bogle
Ontotext USA
brad.bogle(at)ontotext(dot)com
703-431-7567

Ontotext Website
S4 Website
Twitter: @ontotext

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