the usual suspects
DESCRIPTION
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 - PowerPoint PPT PresentationTRANSCRIPT
2010 SemanticTechnology 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
– entity extraction ( people, facts, events)
• Cambridge Semantics – put Excel on steroids
• Protégé – ontology editor – Web Protégé
• Zepheira – linked data
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
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
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
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
Thank you !