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The usual suspects

2010 Semantic Technology Conference San Francisco, CA Presented by Robert Baban and Cristian Barbus. The usual suspects. Ontotext – OWLIM - semantic database Oracle – Oracle11g - semantic database Franz Inc – Allegro Graph Top Quadrant – TopBraid Suite OpenCalais.com – Thomson Reuters

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The usual suspects

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  1. 2010 SemanticTechnology ConferenceSan Francisco, CAPresented 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 ( www.trueknowledge.com ) 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 – www.expertsystem.net Focus – NLP (Natural Language Processing) techniques iQser – www.iqser.com GIN Platform – semantic middleware

  5. SemTech 2010 - SPARQL SPARQL 1.1 new features: aggregates, subqueries, property paths negation update language Intellidimesion (www.intellidimension.com) Semantic Solution for Microsoft.NET Clark & Parsia (http://clarkparsia.com) 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 ) http://www.w3.org/TR/rif-core SILK (Semantic Inferencing on Large Knowledge) http://silk.semwebcentral.org Semantic Web Rules with Defaults, Higher-Order, and Scalability Sentiment analysis - www.OpinionCrawl.com Knowledge provenance – Deborah McGuniess Proof markup Language (PML) - provenance, justification and trust

  7. Thank you !

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