Home

Cynthia Chang

Cynthia Chang
Contact Info
Phone518.276.4384
On the Web
Workplace
Homepage		http://tw.rpi.edu

Publications

McCusker, J., Lebo, T., Chang, C., Pinheiro da Silva, P., and McGuinness, D.L. 2012. Parallel Identities for Managing Open Government Data.

McCusker, J., Lebo, T., Ding, L., Chang, C., Pinheiro da Silva, P., and McGuinness, D.L. 2011. Where did you hear that? Information and the Sources They Come From. In Proceedings of International Workshop on Linked Science 2011 (October 14 2011, Bonn, Germany).

Sutcliffe, G., Chang, C., McGuinness, D.L., Lebo, T., Ding, L., and Pinheiro da Silva, P. 2011. Combining Proofs to form Different Proofs. In .

Sutcliffe, G., Chang, C., Ding, L., McGuinness, D.L., and Pinheiro da Silva, P. 2010. Different Proofs are Good Proofs. In Proceedings of EMS+QMS 2010 of the IJCAR 2010 (July 20 2010, Edinburgh, UK).

Zednik, S., Fox, P., McGuinness, D.L., Pinheiro da Silva, P., and Chang, C. 2009. Semantic Provenance for Science Data Products - Application to Image Data Processing. In Proceedings of First International Workshop on the role of Semantic Web in Provenance Management (October 25 2009).

McGuinness, D.L., Fox, P., Pinheiro da Silva, P., Zednik, S., Rio, N., Ding, L., West, P., and Chang, C. 2008. Annotating and embedding provenance in science data repositories to enable next generation science applications. In Proceedings of AGU Fall Meeting 2008 (December 15-19 2008, San Francisco, CA).

McGuinness, D.L., Fox, P., Pinheiro da Silva, P., Zednik, S., Rio, N., Ding, L., West, P., and Chang, C. 2008. Annotating and embedding provenance in science data repositories to enable next generation science applications. In Proceedings of AGU Fall Meeting 2008 (December 15-19 2008, San Francisco, CA).

McGuinness, D.L., Pinheiro da Silva, P., Ding, L., Glass, A., and Chang, C. 2008. Explaining Semantic Web Applications.

Pinheiro da Silva, P., Rio, N., McGuinness, D.L., Ding, L., Chang, C., and Sutcliffe, G. 2008. User Interfaces for Portable Proofs. In .

Pinheiro da Silva, P., Sutcliffe, G., Chang, C., Ding, L., Rio, N., and McGuinness, D.L. 2008. Presenting TSTP Proofs with Inference Web Tools. In .

McGuinness, D.L., Ding, L., Michaelis, J., Tao, J., Glass, A., and Chang, C. 2008. Inference Web: Enabling Accountable Web Applications. In Proceedings of Tetherless World Constellation Grand Opening (June 11 2008).

Glass, A., McGuinness, D.L., Wolverton, M., Pinheiro da Silva, P., and Chang, C. 2008. Explainable Adaptive Assistants. In Proceedings of Tetherless World Constellation Grand Opening (June 11 2008).

Chang, C., Pinheiro da Silva, P., McGuinness, D.L., and Sutcliffe, G. 2008. Explaining Results from Deductive Engines: The TPTP Environment. In Proceedings of Tetherless World Constellation Grand Opening (June 11 2008).

Pinheiro da Silva, P., McGuinness, D.L., and Chang, C. 2007. Abstracting Web Agent Proofs into Human-Level Justifications. In .

McGuinness, D.L., Ding, L., Glass, A., and Chang, C. 2006. Explanation Interfaces for the Semantic Web: Issues and Models. In .

FUSE 2011-08-01T00:00:00-04:00 Foresight and Understanding from Scientific Exposition 5 2011-08-01T00:00:00-04:00 2011-08-01T00:00:00 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. 2011-08-01T00:00:00 IARPA invests in high-risk/high-payoff research programs that have the potential to provide our nation with an overwhelming intelligence advantage over future adversaries. IARPA Intelligence Advanced Research Projects Activity 6 2011-08-01T00:00:00-04:00 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.

Projects

TW LogoForesight 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
SPCDIS Project LogoSemantic Provenance Capture in Data Ingest Systems (SPCDIS)
 Research Areas: Data Frameworks, Knowledge Provenance
Principal Investigator: Peter Fox
Co Investigator: Deborah L. McGuinness
Sponsor: National Science Foundation
Description: The goal of this project is to develop at the RPI Tetherless World Constellation, based within the NCAR High Altitude Observatory and in collaboration with the University of Texas at El Paso, the University of Michigan and McGuinness Associates a semantically-enabled data ingest capability.
Concepts: eScience
SeSF Project LogoSemantic 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
You are not watching this post, click to start watching