1. White House Conference on Semantic Technology Presenter: Clemens Bertram, VP Engineering

2. Positioning Semagix allows enterprises to discover business insights by relating structured and unstructured information in order to develop smarter business processes and applications, enabling confident operational decision making across the enterprise Partners Customers Partners and Customers

3. Semagix creates accurate intelligence using semantically enhanced metadata  Documentary content and factual evidence are integrated semantically via semantic metadata Threat Space sub-domain ontology Group Alias Person Country Bank Account in Has alias Has email Involved in Occurred at Works for/ leads Location Time Email Add Event Occurred at Originated in Is funded by/works with Watch-list Appears on Watch-list Appears on Has position Role Classification Metadata: Cocaine seizure investigation Semantic Metadata for the article: Person is “Giulio Tremonti” Position of “Giulio Tremonti” is “Economics Minister” “Guilio Tremonti” appears on Watchlist “PEP” Group is Political party “Integrali” “Integrali” is the “Italian Government” “Italian Government” is based in “Rome” Corroborating Evidence Evidence

5. Content Agents Content Agents Agent Scheduler Agent Monitor Content Agents Content Agents Content Agents Content Agents Content Agents Content Agents Agent Builder Content Agents Content Agents Content Agents Content Agents Semantic knowledg e Freedom Metabase Semantic metadata Uniquely, Semagix semantically integrates all types of structured and unstructured content FBI Semantic intelligenc e LEA INS CIA FAA DEA Query Alert Analyze relationships Assess risk Collaborat e Take action High performance Query Engine Agent Scheduler Agent Monitor Agent Builder Knowledge Agents Knowledge Agents Knowledge Agents Knowledge Agents Knowledge Agents Knowledge Agents Knowledge Agents Knowledge Agents Knowledge Agents Knowledge Agents Dynamic Threat Space Unstructured Content Sources Dynamic Threat Space Unstructured Content Sources XML/Feeds Websites Email Reports Documents Chat rooms Dynamic Domain Specific Data Dynamic Domain Specific Data Evidence Sources Law Enforcement Airline Reservatio n Credit / Finance / Electoral Registers Watch lists INS Commentary Observations Semantic Metadata enhancement Evidence Freedom domain model Freedom domain model Freedom Ontology Formal Evidence Facts