Difference between revisions of "Satya"

Revision as of 03:28, 18 April 2011

Satya S. Sahoo
Ph.D. Computer Science and Engineering
Kno.e.sis Center, Wright State University

Updates

• I joined the [1] as Assistant Professor in September 2010.
• Co-organizing the second workshop on the "Role of Semantic Web in Provenance Management" SWPM'10 at ISWC 2010.
• Provenance Context Entity (PaCE) paper describing new approach for RDF provenance tracking in Semantic Web applications accepted at SSDBM 2010
• Janus: from Workflows to Semantic Provenance and Linked Open Data, joint work with University of Manchester and University of Oxford, accepted at IPAW 2010

Research Interests

I am interested in scientific metadata and data management and integration using declarative knowledge representation (ontology), reasoning, and related Semantic Web technologies. I also work on query optimization techniques, for example using materialized views, for queries with both high expression complexity and data complexity.
I have special interest in provenance metadata management in scientific applications. We have developed a provenance management framework with foundational model of provenance, specialized query operators, and implemented a scalable query engine for provenance analysis with a new class of materialized views based on domain semantics.

Current Projects

Provenance Management Framework

Provenance is critical metadata to interpret scientific results, validate experimental processes, and associate trust values.
We have defined an end-to-end framework, underpinned by a novel provenance algebra, addressing three important aspects of provenance management:

• Provenance Representation: An upper-level ontology for representation of provenance information called provenir.
• Provenance Analysis: A set of provenance query operators has been defined based on a systematic classification of provenance queries. The provenance classification scheme has been proposed for the first time in provenance research.
• Scalable Query Infrastructure: A provenance query engine has been implemented to support the provenance query operators over a RDF data store. The query engine uses a new class of materialized views called Materialized Provenance View (MPV), for optimizing performance of complex queries over large datasets.

Semantics and Services enabled Problem Solving Environment for T.cruzi

Aim: develop and deploy a novel ontology-driven problem-solving environment for T.cruzi.

• Ontology Development: Development of two ontologies (a) Parasite Life cycle ontology, (b) Parasite Experiment ontology. Both have been released to the National Center for Biomedical Ontologies (NCBO)
  

Collaborators: Tarleton Research Group, University of Georgia and The Wellcome Trust Sanger Institute, Cambridge, UK

• Parasite Knowledge Repository: Integrated repository in RDF format of gene knockout, strains, proteomics, pathway, and microarray data for query answering in parasite research
• Trykipedia: Explore use of Wiki-based platform for collaborative ontology development Trykipedia
  

Workshop Series on the Semantic Web and Provenance Management (SWPM)

Proposed and co-organizing a series of workshops exploring the research issues at the intersection of Semantic Web and Provenance Management.

• The first workshop SWPM'09 was held in conjunction with the International Semantic Web Conference (ISWC) 2009 with a keynote given by Dr. Carole Goble.
  
• The second workshop SWPM'10 will be held in conjunction with ISWC'10. The keynote speaker for SWPM'10 is Dr. Deborah McGuinness.
  

Select Publications

Provenance Management Framework

• S.S. Sahoo, O. Bodenreider, P. Hitzler, A. Sheth, K., Thirunarayan, “Provenance Context Entity (PaCE): Scalable provenance tracking for scientific RDF data.”,in the 22nd International Conference on Scientific and Statistical Database Management (SSDBM) 2010 pdf
• S.S. Sahoo, D.B. Weatherly, R. Mutharaju, P. Anantharam, A. Sheth, R.L. Tarleton, “Ontology-driven Provenance Management in eScience: an Application in Parasite Research”, The 8th International Conference on Ontologies, DataBases, and Applications of Semantics, (ODBASE 2009), Vilamoura, Algarve-Portugal, pp.992-1009, Nov 02 - 04, 2009. pdf
• S.S. Sahoo, A. Sheth, C. Henson, “Semantic Provenance for eScience: ‘Meaningful’ Metadata to Manage the Deluge of Scientific Data,” IEEE Internet Computing, Web-Scale Workflow Track, M.B. Blake and M. Huhns (Eds.), 12(4), pp.46-54, July-Aug. 2008 pdf
• S.S. Sahoo, C. Thomas, A. Sheth, W.S. York and S. Tartir, “Knowledge Modeling and Its Application in Life Sciences: A Tale of Two Ontologies.” 15th International WWW2006 Conference, pp. 317-326, Scotland, May 23–26, 2006. (Acceptance Rate: 11%) pdf

Scientific Data Integration

• S.S. Sahoo, O. Bodenreider, J.L. Rutter, K.J. Skinner, A.P. Sheth, “An ontology-driven semantic mash-up of gene and biological pathway information: Application to the domain of nicotine dependence,” Journal of Biomedical Informatics (Special Issue: Semantic Mashup of Biomedical Data), 41(5), 752-765, Oct. 2008 pdf
• S.S. Sahoo, K. Zeng, O. Bodenreider, A.P. Sheth, “From ‘glycosyltransferase’ to ‘congenital muscular dystrophy’: Integrating knowledge from NCBI Entrez Gene and the Gene Ontology,” Medinfo 2007, Brisbane, Australia, pp. 1260–64, 20-24 August, 2007. pdf