Semtech 2011 impressions

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This presentation contains the highlights of the Semtech2011 San Francisco selected by the participants from Recognos.

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Semtech 2011 impressions

  1. 1. SEMTECH 2011 Highlights 6/10/2011 Recognos Inc. www.recognos.com [email_address]
  2. 2. Main Highlights <ul><li>Semantic Tagging – www.schema.org very NEW !!! </li></ul><ul><li>This site provides a collection of schemas, i.e., html tags, that webmasters can use to markup their pages in ways recognized by major search providers. Search engines including Bing, Google and Yahoo! rely on this markup to improve the display of search results, making it easier for people to find the right web pages. </li></ul><ul><li>W3C Standard for Rules – RIF (Rules Interchange Format) – same role as SWRL </li></ul><ul><li>SBVR – Semantic of Business Vocabularies and Business Rules </li></ul><ul><li>Linked Open Data </li></ul><ul><li>Cray XMT – Extreme Multithreaded technology got into Semantic Technology – The Franz Allegrograph is being implemented – doesn not have a floating point processor </li></ul><ul><li>How did IBM’s technology win the Jeopardy contest </li></ul><ul><li>Lots of NLP and Sentiment Analysis </li></ul><ul><li>Other….. </li></ul>
  3. 3. Web Sites <ul><li>www.semtech2011.com </li></ul><ul><li>http://semtech2011.semanticweb.com/handouts.cfm - handouts (sanfran11) </li></ul>
  4. 4. IBM Deep QA <ul><li>Web Site </li></ul><ul><li>How IBM beat the Jeopardy Champion </li></ul><ul><li>Project name – Deep QA </li></ul><ul><li>25 researchers form the US, Japan, Israel worked for 4 years </li></ul><ul><li>NLP analysis platform – machine learning </li></ul><ul><li>Presented by Aditya Kalyanpur, IBM   </li></ul>
  5. 5. Semantics in CRM <ul><li>Build Guinn – CTO Amdocs – The next generation consumer business - uses real time semantically enabled intelligence </li></ul><ul><li>The Rise of Interest Graphs using Semantic Technology </li></ul><ul><li>Amdocs Intelligent Decision Automation Platform (AIDA) </li></ul><ul><li>Pro active IVR – Semantic IVR </li></ul>
  6. 6. From the Amdocs Presentation
  7. 7. Linked Open Data <ul><li>Internationalized Resource Identifiers IRIs – W3C </li></ul><ul><li>Bernadette Hyland – Linked Open Data Cookbook ( the presentation is on SlideShare ) </li></ul><ul><li>Good Book: Linked Open Data in the Enterprise </li></ul><ul><li>Talis launched a new Linked Data marketplace named Kasabi (is in beta) </li></ul><ul><li>Make the data smart and self describing </li></ul>
  8. 8. UI Design in Semantic Web <ul><li>Main advantage of the Semantic Web over the UI design is that the data contains the context (the context is in the “line”) </li></ul><ul><li>The magic behind Usable Design </li></ul><ul><li>UI samples shared during session </li></ul>
  9. 9. UI Design in Semantic Web <ul><li>Useful samples: </li></ul><ul><ul><li>Freebase Parallax </li></ul></ul><ul><ul><li>OOKABOO </li></ul></ul><ul><ul><li>Footnote.com </li></ul></ul><ul><ul><li>Smithsonian Institution </li></ul></ul><ul><ul><li>More on Design for Semantic Web </li></ul></ul>
  10. 10. Companies (1) <ul><li>Clark & Parsia – Stardog (RDF store), SPANNER – semantic data extraction platform, POP – Semantic Application for skill – competency management, Pellet 3 reasoner (commercial – Pellet 2 will be supported another year) </li></ul><ul><li>iQuser – Semantic Platform </li></ul><ul><li>Revelytix - Spinner (Alpha), Rex (RIF rule engine) Alpha, Spyder – equivalent to D2RQ – SPARQL endpoint, Knoodle – Wiki to collaborate in ontology creation and management </li></ul><ul><li>Smart Logic – semantic enterprise query platform – build on top of Google and Sharepoint 10 - 11 </li></ul>
  11. 11. Companies (2) <ul><li>www.cognition.com – NLP processing </li></ul><ul><li>Pure Discovery – Semantic Search </li></ul><ul><li>VSTI Corp – Semantic Discovery </li></ul><ul><li>Open Amplify – NLP and Market Sentiment Analysis </li></ul>
  12. 12. Software <ul><li>Apache Solr – Open Source search </li></ul><ul><li>SIREn: Efficient semi-structured Information Retrieval for Lucene </li></ul><ul><li>NetKernel – a Resource Oriented Environment </li></ul><ul><ul><li>Decoupled Client/Server </li></ul></ul><ul><ul><li>Content Negotiation </li></ul></ul><ul><ul><li>Caching and data synch </li></ul></ul><ul><li>OWLGrEd – a UML ontology design </li></ul><ul><li>dotNetRDF – open source .NET RDF library </li></ul><ul><li>Thread – a simple way to write SPARQL from needlebase </li></ul><ul><li>Synaptica – taxonomy and metadata management </li></ul><ul><li>Data Harmony – taxonomy and knowledge management </li></ul><ul><li>Lexalytics – sentiment analysis </li></ul>
  13. 13. Software 2 <ul><li>WebProtege – web version of the Protégé: </li></ul><ul><ul><li>Web, Lightweight, Collaboration, Customizable, Extensible, </li></ul></ul><ul><li>SAS – has a whole suite of apps; some: </li></ul><ul><ul><li>Content Categorization Studio </li></ul></ul><ul><ul><li>Ontology Management </li></ul></ul><ul><li>Programmable WEB – Open API discovery/directory </li></ul><ul><ul><li>Alchemy API – NLP Service </li></ul></ul><ul><li>Factual – next freebase </li></ul><ul><li>Kasabi – Linked Data market place (liked data hosting/publishing/linking) </li></ul><ul><li>TripleMap – visual data representation and visual data analysis (build on RDF using indexing with Lucene and Solr) </li></ul>

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