



![]() | Deep Carbon Observatory Data Science (DCO-DS) Research Areas: Data Science, X-informatics Principal Investigator: Peter Fox, John Erickson, and Jim Hendler Description: a Concepts: Semantic eScience, Data Visualization, Data Science, Geophysical Science |
![]() | Linking Open Government Data (LOGD) Research Areas: Future Web Principal Investigator: Deborah L. McGuinness and Jim Hendler Sponsors: Fujitsu Laboratories of America, DARPA Transformation Convergence Technology Office, Lockheed Martin Advanced Technology Laboratory Description: The LOGD project investigates the role of Semantic Web technologies, especially Linked Data, in producing, enhancing and utilizing government data published on Data.gov and other websites. |
![]() | ORGPedia Corporate Intelligence (ORGPedia) Research Areas: Future Web Principal Investigator: Jim Hendler Sponsor: Microsoft Research Description: This project is for creating prototypes of linking open corporate data for the ORGPedia project. It will be a portal for integrated disparate datasets about corporations across levels of government and agencies. |
![]() | Rensselaer Polytechnic Institute Data Services (Data.rpi.edu) Principal Investigator: Peter Fox and Jim Hendler Description: Providing data storage, data services, data access, data discovery, data search, and data lifecycle and management for RPI research projects. Concepts: eScience |
![]() | Theory and Practice of Accountable Systems (TPAS) Research Areas: Web Policy, Inference And Trust Principal Investigator: Jim Hendler Sponsor: National Science Foundation Description: The TPAS Project investigates computational and social properties of information networks necessary to provide reliable assessments of compliance with rules and policies governing the use of information. |
![]() | Transparent and Accountable Datamining Initiative (TAMI) Research Areas: Inference And Trust, Web Policy Principal Investigator: Jim Hendler Sponsor: National Science Foundation Description: The TAMI Project is creating technical, legal, and policy foundations for transparency and accountability in large-scale aggregation and inferencing across heterogeneous information systems. |




![]() | Foresight and Understanding from Scientific Exposition (FUSE) Research Areas: Inference And Trust, Knowledge Provenance, Data Frameworks Principal Investigator: Deborah L. McGuinness Co Investigator: Jim Hendler Sponsor: Intelligence Advanced Research Projects Activity Description: Technical emergence refers to the process whereby innovative ideas, capabilities, applications, and even entirely new fields of study arise, are tested, mature, and, if conditions are favorable, demonstrate feasibility and impact. IARPA’s Foresight and Understanding from Scientific Exposition (FUSE) Program is sponsoring advanced research and development (R&D) to develop automated systems that aid in the systematic, continuous, and comprehensive assessment of technical emergence using information derived from the published scientific, technical, and patent literature. Concepts: Provenance, Semantic Web |
![]() | Semantic eScience Framework (SeSF) Research Areas: Data Science, Semantic eScience, Data Frameworks Principal Investigator: Peter Fox Co Investigator: Jim Hendler and Deborah L. McGuinness Sponsor: National Science Foundation Office of Cyberinfrastructure Description: The goals of this effort is to design and implement a configurable and extensible semantic eScience framework. Concepts: eScience |