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TAMI@RPI
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==Overview== The Transparent Accountable Datamining Initiative (TAMI) Project is creating technical, legal, and policy foundations for transparency and accountability in large-scale aggregation and inferencing across heterogeneous information systems. The incorporation of transparency and accountability into decentralized systems such as the Web is critical to help society manage the privacy risks arising from the explosive progress in communications, storage, and search technology. The expansion of government use of large-scale data mining for law enforcement and national security provides a compelling motivation for this work. While other investigations of the impact of data mining on privacy focus on limiting access to data as a means of protecting privacy, a variety of social, political, and technical factors are making it increasingly difficult to limit collection of and access to personal information. The TAMI Project is addressing the risks to privacy protection and the reliability of conclusions drawn from increasing ease of data aggregation from multiple sources by creating methods and technologies for adding increased transparency and accountability of the inferencing and aggregation process itself. The project is developing precise rule languages that are able to express policy constraints and reasoning engines that are able to describe the results they produce. ==Research== This is a joint research work: * [http://dig.csail.mit.edu/TAMI MIT Site] * [http://tw.rpi.edu/proj/tami RPI Site] ===Policy Language=== * [http://www.w3.org/DesignIssues/Notation3 Notation3 (n3)] - An readable language for data on the Web. It is the foundation language for encoding AIR policies. * [http://tw.rpi.edu/web/project/TAMI/ AIR policy language specification] - a general purposed policy language. It introduces some policy specific primitives (meta vocabulary) which are supported by a policy engine. * [http://tw.rpi.edu/web/project/TAMI/AIR_Tutorial AIR Policy Tutorial]- a tutorial that reviews the key features for AIR policy language with live examples. * [http://tw.rpi.edu/web/project/TAMI/AIR_Language_Formalization AIR Formalization] - a formal analysis of the AIR language: declarative semantics, complexity results, and evaluation of AIR expressiveness. ===Policy Engine=== * [http://www.w3.org/2000/10/swap/doc/cwm.html CWM] - a general purposed inference engine for the Semantic Web * [http://www.w3.org/2005/ajar/tab Tabulator] - a semantic web browser * [http://dig.csail.mit.edu/TAMI/2008/JustificationUI/howto.html Justification UI of Tabulator] - tabulator based justification UI equipped with the AIR policy engine. ===Policy Testbed=== * [http://tw.rpi.edu/proj/tami/Policy_Testbed_Tutorial Semantic Wiki based Policy Testbed] - a collaboratively maintained online testbed for evolving provenance ontology and generating TAMI scenarios. * TAMI Scenarios ** [http://tw.rpi.edu/proj/tami/TAMI_Scenario_9 TAMI Scenario 9] - complicated policy violation that causes adverse consequence in medical investigation. ** [http://tw.rpi.edu/proj/tami/TAMI_Scenario_11 TAMI Scenario 11] - policy violation caused by distributed data with temporal provenance annotation. ==Resources== * [http://www.w3.org/2000/10/swap/doc/ Semantic Web Tutorial Using N3] * [http://dig.csail.mit.edu/TAMI/2008/tech_challenges.html TAMI challenges]
