Jesse Weaver

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Jesse Weaver
Contact Info
Emailweavej3@rpi.edu

Dr. Jesse Weaver is a Research Computer Scientist in the Data Intensive Scientific Computing group at Pacific Northwest National Laboratory where he focuses on scalable semantic systems. He is the principal investigator on the Resource Discovery and Extreme Scale Collaboration project, and he is also a member of the Center for Adaptive Supercomputing Software project.

Jesse completed his Ph.D. in computer science under the advisement of Professor James A. Hendler at Rensselaer Polytechnic Institute (RPI) in the spring of 2013. At RPI, he was a member of the Tetherless World Constellation where he and colleagues won the 2009 Billion Triple Challenge. Jesse was also the first recipient of the RPI Patroon Fellowship which was funded by Dr. Shirley Ann Jackson and Dr. Morris A. Washington. For his dissertation entitled "Toward Webscale, Rule-based Inference on the Semantic Web via Data Parallelism", Jesse is co-recipient of the 2013 Karen and Lester Gerhardt Prize.

Prior to graduate school, Jesse was a software engineer at Raytheon where he worked on parallelizing software and supporting RDF/SPARQL stores. Prior to that, Jesse received a B.S. in computer engineering from the University of Arkansas in Fayetteville where he graduated Summa cum Laude, First-Ranked Senior Scholar, and Outstanding Computer Engineering Senior.

Publications:
Weaver, J. and Tarjan, P. 2012. Facebook Linked Data via the Graph API. Semantic Web Journal
Weaver, J. 2012. A Scalability Metric for Parallel Computations on Large, Growing Datasets (like the Web). In Proceedings of SSWS+HPCSW 2012 at ISWC 2012 (November 11 2012, Boston, MA, USA).
Williams, G.T. and Weaver, J. 2011. Enabling fine-grained HTTP caching of SPARQL query results. In Proceedings of 10th International Semantic Web Conference (October 23-27 2011, Bonn, Germany).
Weaver, J. and Williams, G.T. 2011. Reducing I/O Load in Parallel RDF Systems via Data Compression. In Proceedings of HPCSW 2011 at ESWC 2011 (May 29 2011, Heraklion, Greece).
Kotoulas, S., van Harmelen, F., and Weaver, J. KR and Reasoning on the Semantic Web: Web-scale Reasoning. In Jim Hendler, John Domingue, and Dieter FenselHandbook of Semantic Web Technologies2011.
Domingue, J., Fensel, D., and Hendler, J. 2011. Handbook of Semantic Web Technologies.
Williams, G.T., Weaver, J., Atre, M., and Hendler, J. 2010. Scalable Reduction of Large Datasets to Interesting Subsets.
Weaver, J. 2010. Redefining the RDFS Closure to be Decidable. In Proceedings of RDF Next Steps (June 26-27 2010June 26-27 2010June 26-27 2010, Palo Alto, CA, USAPalo Alto, CA).
Weaver, J. and Williams, G.T. 2009. Scalable RDF query processing on clusters and supercomputers. In Proceedings of SSWS 2009 at ISWC 2009, International Semantic Web Conference (October 26 2009, Chantilly, VA, USA).
Williams, G.T., Weaver, J., Atre, M., and Hendler, J. 2009. Scalable Reduction of Large Datasets to Interesting Subsets. In Proceedings of Billion Triples Challenge at ISWC 2009, International Semantic Web Conference (October 25-29 2009).
Weaver, J. and Hendler, J. 2009. Parallel Materialization of the Finite RDFS Closure for Hundreds of Millions of Triples. In Proceedings of ISWC 2009, International Semantic Web Conference (October 25-29 2009, Chantilly, VA, US).
. Semantic Web Journal.

Presentations:

Project PI

Resource Discovery for Extreme Scale Collaboration (RDESC)
Principal Investigator: Karen Schuchardt and Jesse Weaver
Description: Our objective is to develop a capability for describing, linking, searching and discovering resources used in collaborative science that is lightweight enough to be used as a component in any software system such as desktop user environments or dashboards but also scalable to millions of resources. A key design goal is to offer local control over resource descriptions thus reducing one of the bottlenecks to widespread adoption. We propose to build a prototype framework and associated services, the Resource Discovery for Extreme Scale Collaboration (RDESC), that meet these objectives.