1. Semantic (Web) Technology in Action - today The Semantic Web – Scientific American article considered harmful? WWW2003 Panel (PN2), Budapest, May 21, 2003. Amit Sheth SemagixSemagix, Inc. and LSDIS Lab, University of GeorgiaLSDIS Lab

2. Gen. Purpose, Broad Based Scope of Agreement Task/ App Domain Industry Common Sense Degree of Agreement Informal Semi-Formal Formal Agreement About Data/ Info. Function Execution Qos Broad Scope of Semantic (Web) Technology Other dimensions: how agreements are reached, … Current Semantic Web Focus Semantic Web Processes Lost of Useful Semantic Technology (interoperability, Integration)

3. Practical Ontology Development Observation  Ontology is at the heart of current semantic (web) solutions  Experience shows it is quite practical to create and maintain targeted (application/domain) ontologies:  Few classes to many tens (few hundreds) of classes and relationships (types); very small number of designers/knowledge experts; descriptional component (schema) designed with GUI  Hundreds of thousands to several millions entities and relationships (instances/assertions)  Tens of knowledge sources; automatically populated by knowledge extractors  Primary scientific challenges faced: named entity identification, entity ambiguity resolution and data cleanup  Total effort: few person weeks

4. Ontology-driven Information Systems have becoming reality Software and practical tools to support key capabilities and requirements for such a system are now available:  Ontology creation and maintenance  Automatic Classification  Ontology-driven Automatic Semantic Metadata Extraction/Annotation and  Semantic normalization  Utilizing semantic metadata and ontology  Blended Semantic querying/browsing/analysis  Information and application integration  Analysis and discovery for business/market/national intelligence Achieved in the context of successful technology transfer from academic research (LSDIS lab, UGA’s SCORE technology) into commercial product (Semagix’s Freedom)

5. Example current applications of the semantic technology  CIRAS - Anti Money Laundering CIRAS - Anti Money Laundering  Passenger Threat Assessment System Passenger Threat Assessment System  Pharmaceutical Drug Discovery  Drug Trafficking Investigation  Financial Equity Workbench While applications typically serve enterprise users, they may use pan-Web data (from tens and hundreds of site/sources to in near future, entire Web). External demo page