Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Semantic Technologies and Information Integration
1. 2 nd Annual European Semantic Technology Conference September 24, 2008 Semantic Technologies and Information Integration: Semantic Wine in Media Wine-skin Irina Efimenko, Daniel Hladky, Victor Klintsov Ontos AG 2560 Nidau, Switzerland www.ontos.com {irina.efimenko, daniel.hladky, victor.klintsov}@ontos.com Vladimir F. Khoroshevsky Computer Center Russian Academy of Sciences 40 Vavilov str., 117933 Moscow, Russia www.ccas.ru [email_address]
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3. On-line Media – Situation and Challenges State of the Art, Needs and Pains
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5. Ontos Solutions for Semantic Web Information Processing Workflow with Ontos SCF
6. интернет корпоративные хранилища краулеры OntosMiner™ хранилище знаний Технология Internet Ontos Solutions for Semantic Web I nformation Processing Workflow Corporate Data Warehouses Crawlers OntosMiner™ RDF-Store OntoDigester Semantic Navigation OntoSummarizer Semantized Content
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8. Ontos SCF: How It Works Information Gathering RSS feeds Web pages DOC, PDF, etc. Broker Plain Texts RSS Crawlers Web page Crawlers Document Crawlers Page-agents RSS-agents Doc-agents
9. Ontos SCF: How It Works Information Extraction RDF store Firma Ort Stadt Land SAP Germany Walldorf Bus.Object Person Ist_in kauft Teil_von H. Kagermann CEO Triple structure: Subj – Pred – Obj XML/OWL/N3 Rules Rule: SimplePerson // Larry Page, Vladimir Putin,… ( ({FirstPerson}):nam ( ({Patr}):patr )? ({Family}):fam (({FormerFam}):former)? ) : phrase --> { AnnotationSet nameSet = (AnnotationSet) bindings.get("nam"); Annotation nameAnn = (Annotation) nameSet.iterator().next(); ……………………… . annotations.add(firstNode, lastNode, "Person", features); } OntosMiner™ Ruleset:
10. Ontos SCF: How It Works Information Integration Ontos semantic content Information Extraction -> Knowledge generation Information Integration -> Knowledge merging & alignment
14. Pilot Project with CNews Development & Implementation Legislative acts, Organizations, Personalities, Conferences, Industries, Locations, Products, Tenders, Citations, Etc. Etc. Career, Patches, Opinions, Producers, Partnership, Similar models CNews Domain Ontology fragment