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The usual suspects Ontotext – OWLIM - semantic database

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Presentation on theme: "The usual suspects Ontotext – OWLIM - semantic database"— Presentation transcript:

1 2010 Semantic Technology Conference San Francisco, CA Presented by Robert Baban and Cristian Barbus

2 The usual suspects Ontotext – OWLIM - semantic database
Oracle – Oracle11g - semantic database Franz Inc – Allegro Graph Top Quadrant – TopBraid Suite OpenCalais.com – Thomson Reuters entity extraction ( people, facts, events) Cambridge Semantics – put Excel on steroids Protégé – ontology editor – Web Protégé Zepheira – linked data

3 SemTech – Search YoLink (www.yolink.com)
Find tool : searches web sites, online documents, etc API, browser plugin True Knowledge ( ) Answering world’s question

4 SemTech 2010 – Text Mining ai-one – ( www.ai-one.com )
semantic neural network – HNN Unsupervised ( no training, no predefined structure ) Small number of inputs Incremental learning Expert System – Focus – NLP (Natural Language Processing) techniques iQser – GIN Platform – semantic middleware

5 SemTech 2010 - SPARQL Intellidimesion (www.intellidimension.com)
SPARQL 1.1 new features: aggregates, subqueries, property paths negation update language Intellidimesion ( Semantic Solution for Microsoft.NET Clark & Parsia ( Pellet – reasoner, incremental inference Pleorus – facet navigation tool for SPARQL Empire – JPA implementation for RDF and Semantic Web

6 SemTech 2010 - Rules RIF (Rule Interchange Format )
SILK (Semantic Inferencing on Large Knowledge) Semantic Web Rules with Defaults, Higher-Order, and Scalability Sentiment analysis - Knowledge provenance – Deborah McGuniess Proof markup Language (PML) - provenance, justification and trust

7 Thank you !


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