At Rensselaer Polytechnic Institute, I lead a team of
interdisciplinary researchers who are directly involved in research
and development of semantic solutions for enhancing the quality of
scientific data (i.e., observation data, experiment data, and
simulation data). I am the lead designer and implementer of the
Human-Aware Data Acquisition framework (HADatAc), which is used in
multiple scientific domains including:
Within these projects, I champion the use of semantic
standards for managing the project's large-scale repositories of
observation data, simulation data, and experiment data.
- the NIH-Funded
Health Exposure Analysis Resource (CHEAR) project that provides
tools, data infrastructure and semantics infrastructure so researchers
can perform data analysis on the full range of environmental exposure
data which may affect children's health;
- the Center for Architecture Science and
Ecology's Integrated Ecological System of building systems, a
data-driven, model-based approach in support of a comprehensive
understanding of ecological and environmental concerns in building
- the Jefferson Project on Lake George, that in collaboration with
IBM and the Fund for Lake George, develops an integrative approach to
understanding a wide range of lake stressors such as nutrient
run-offs, pollutants, and impact of invasive species
I am a former Chief Scientist (Staff Scientist) for the U.S. Department of Energy's Pacific Northwest National Laboratory, where I led
the design and development of techniques for managing big data
produced from multiple dynamic electron microscopes and large arrays
of mass spectrometers. Additionally, we used semantic technology to manage knowledge about the instruments' scientific processess,
i.e., workflow-driven ontologies, and to
manage knowledge about visualization toolkits, i.e., VisKo.
I am a former Associate Professor of Computer Science
at the University of Texas at El Paso
(UTEP), and founding member
of UTEP's Cyber-ShARE Center of
Excellence for Sharing Resources Through Cyber-Infrastructure to
advance science, engineering, and education. Cyber-ShARE is
a National Science Foundation
(NSF)-funded multi-disciplinary research effort between computer
science, geosciences, environmental sciences, computational math,
astronomy, and education. At Cyber-ShARE, I led the computer science
component that aims to increase the scientist use
of semantic web and social
network technologies in support of cyber-infrastructure-based,
data-intensive applications and services. In particular, the center
aims to provide scientists with information that will enable them to
make informed decisions about retrieved resources and to have
confidence in using resources derived through complex scientific
I am a co-leader of the
Inference Web (IW) project that provides
infrastructure for explaining answers from software
systems. Inference Web has been sponsored by a number of DARPA, NSF,
DHS and DTO (formerly known as ARDA) projects.
Prior to joining UTEP, I was a postdoctoral fellow in the Knowledge Systems, AI
Laboratory at Stanford University. I am a former member of the Information Management Group at
the School of Computer Science
of the University of
Manchester, United Kingdom, a leading research group on Semantic
Web, Grid and e-Science solutions in Europe. I am also a former member
of the Database Group at the Universidade Federal de Minas
Gerais (UFMG), Brazil, a leading research group on information
extraction and information retrieve in Latin America.
Publications (seriously out-of-date list):
- Paulo Pinheiro da Silva, Leonardo Salayandia, Aida Gandara, Ann Q. Gates.
CI-Miner: Semantically Enhancing Scientific Processes.
Earth Science Informatics 2(4): 249-269, 2009.
Paulo Pinheiro da Silva, Deborah McGuinness, Li Ding, Nicholas Del Rio.
Inference Web in Action: Lightweight Use of Proof Markup Language.
In Proceedings of the 7th International Semantic Web Conference (ISWC 2008),
October 26-30, 2008, Karlruhe, Germany.
Nicholas Del Rio, Paulo Pinheiro da Silva, Ann Q. Gates, Leonardo Salayandia.
Semantic Annotation of Maps Through Knowledge Provenance.
In Proceedings of the Second International Conference on Geospatial Semantics (GeoS 2007),
Mexico City, Mexico, November 29-30, 2007.
Paulo Pinheiro da Silva, Deborah L. McGuinness and Richard Fikes. A
Proof Markup Language for Semantic Web Services. Information Systems 31(4-5): 381-395, 2006.
Deborah L. McGuinness and Paulo Pinheiro da Silva. Explaining Answers
from the Semantic Web: The Inference Web Approach. Journal of Web
Semantics, Vol. 1 No. 4, October 2004, pages 397-413.
Paulo Pinheiro da Silva, Deborah L. McGuinness and Rob
McCool. Knowledge Provenance Infrastructure. IEEE Data Engineering
Bulletin. Vol. 26 No. 4, pages 26-32, December 2003.
Paulo Pinheiro da Silva and Norman W. Paton. User Interface Modeling
in UMLi. IEEE Software, Vol.20 No. 4, July/August 2003, pages
- Full list by year
- My entry in
DBLP. (Thanks to Michael Ley)
- A list of citations to my work as in Google Scholar.
- A list of some papers citing my work excluding self-cited papers, viz., when citing and cited papers share at least an author.
Postdoc training, Computer Science, Stanford University, USA,
Ph.D., Computer Science, University of Manchester, United Kingdom,
M.Sc., Computer Science, UFMG, Brazil, 1998.
Undergraduate, Mathematics, UFMG, Brazil, 1996.
- Former students:
- Nicholas Del Rio(Ph.D., 2013) - At Air Force Research Lab
- Antonio Garza (M.Sc., 2012) - At Hewlett-Packard
- Hugo Porras (M.Sc.) - At SGI Global, LLC
- Leonardo Salayandia (Ph.D., 2012) - At UTEP
- Patricia Reyes (M.Sc.,2011) - At UTEP
- Alejandro Castaneda (M.Sc.,2008) - At Microsoft
- Mayukh Bhaowal (M.Sc.,2007) - At Oracle
- Dhyanesh Narayanan (M.Sc.,2006) - At Microsoft
- Priyendra Deshwal (M.Sc.,2005) - At Google
- Active research:
- tools and infrastructure enabling explainable systems
- semantic web applications and tools
- cyber-infrastructure-based applications including scientific workflows
- provenance and trust management
- Less active but still very interesting research:
- model-based user interface development environments
- object-oriented design of systems including interactive system
- formal specification and verification of software systems
- legacy systems and reverse engineering
- database systems and web repositories
UTEP Trust Lab - Explanations, provenance and trust for Cyber-Infrastructure
Inference Web -
Explanations for the Semantic Web (or understanding answers in the Web)
ARDA AQUAINT -
Question answering against large heterogeneous collections of
information such as the Web
ARDA NIMD -
Novel Intelligence from Massive Data
CALO - Cognitive Agent that Learns and Observes
DARPA DAML - A language and tools
for the Semantic Web
DARPA Explainable Knowledge Aggregation
- DARPA RKF
- Support for subject matter experts to perform Rapid
UMLi - User interface design in
EPSRC Teallach - Systematic and
generic support for the development of user interfaces to object-oriented database applications
COPASA CAPPLES - Risk
assessment of the migration of legacy systems using performance analysis
- Explainable Systems: The Inference Web Approach (PPT), Invited talk at Oregon State University on February 24, 2005.
- Knowledge Management in Support of Data Intensive Scientific Computing (PPT), Invited talk at Pacific Northwest National Laboratory on May 11, 2010.
- Editorial Board member for the following journals:
- PC member for the following events:
- Reviewer for journal publications:
- Reviewer for conference/workshop:
Page originally created on April 19, 1997.