Login not required to view content
Follow us on
Instructors: Professor Deborah McGuinness with lectures from Professor Joanne Luciano, Professor Peter Fox, and grad student Jim McCusker. TA: Weijing Chen - chenw8@rpi.edu Office Hours:Wednesday afternoons 5:00 pm - 8:00 pm in Winslow 2128 suggested auxiliary meetings: Tetherless Education Wednesday Evenings (TWed): http://tw.rpi.edu/web/TWed Meeting times: Monday afternoons 1:00 pm - 3:50; Winslow 1140 NOTICE - IRENE changed the first class to August 31 at 5:15pm! Office Hours: By appointment and walk-in in Winslow 2104 (Professor McGuinness) and Winslow 2143 (Professor Luciano) phone: 276-4404 (Professor McGuinness) and 276-4939 (Professor Luciano) Class Listing: SEMANTIC E-SCIENCE CLASS WILL MEET IN WINSLOW BUILDING from 1:00 pm - 3:50 pm - except for the first class due to Hurricane Irene which is being rescheduled to August 31 at 5:15pm.
Science has fully entered a new mode of operation. E-science, defined as a combination of science, informatics, computer science, cyberinfrastructure and information technology is changing the way all of these disciplines do both their individual and collaborative work.
Scientists are facing global problems of a magnitude, complexity and interdisciplinary nature that progress is limited by a trained and agile workforce.
At present, there is a lack formal training in the key cognitive and skill areas that would enable graduates to become key participants in e-science collaborations. The purpose is to teach methodologies, and provide application experience and skill-sets in an inter-disciplinary forum to students and interested participants.
As semantic technologies have been gaining momentum in various e-Science areas (for example, W3C's new interest group for semantic web health care and life science), it is important to offer semantic-based methodologies, tools, middleware to facilitate scientific knowledge modeling, logical-based hypothesis checking, semantic data integration and application composition, integrated knowledge discovery and data analyzing for different e-Science applications.
Partially influenced by the Artificial Intelligence community, the Semantic Web researchers have largely focused on formal aspects of semantic representation languages or general-purpose semantic application development, with inadequate consideration of requirements from specific science areas. On the other hand, general science researchers are growing ever more dependent on the web, but they have no coherent agenda for exploring the emerging trends on the semantic web technologies. It urgently requires the development of a multi-disciplinary field to foster the growth and development of e-Science applications based on the semantic technologies and related knowledge-based approaches.
Goals: to fill the gaps that are currently present in the integrative nature of informatics for the translation of science into requirements for the underlying and largely syntactic e-infrastructure.
Topics for Semantic e-Science/ Foundations:
Semantic Web Applications and Ontologies for:
For complete reading citation with link(s) to papers, see reference list below.
NOTICE: Part of readings may be inaccessible when downloaded off the campus. You could download them in the campus if you have the problem.
Extra Slides November 28, 2011
Class 1 Reading Assignment:
Optional
Class 2: Reading Assignment:
Alternate reading -
Optional reading -
Class 3: Reading Assignment:
Required:
Optional:
http://www.digilife.be/quickreferences/pt/functional%20requirements%20and%20use%20cases.pdf
Class 4: Reading Assignment:
Class 5: Reading Assignment:
An Environment for Merging and Testing Large Ontologies. In Proceedings of the 7th International Conference on Principles of Knowledge Representation and Reasoning (KR2000), Breckenridge, Colorado, USA 12-15 April 2000 [http://www.ksl.stanford.edu/people/dlm/papers/kr00-abstract.html
optional:
http://www.ksl.stanford.edu/people/dlm/papers/ontologyBuilderVerticalNet-abstract.html
Class 6: Reading Assignment:
Class 7: Reading Assignment: Review Ontology Evolution reading from week 5. Turn in one page on highlights of evolution reading and water quality reading. Focus on what aspects of ontology evolution and the water quality portal project you might reuse in your project. One page of highlights is due by Monday October 24, 2011 at 12 noon. This is worth 5 points of the overall class score. Water Quality papers: Wang, P., Zheng, J., Fu, L., Patton, E., Lebo, T., Ding, L., Liu, Q., Luciano, J.S., and McGuinness, D.L. 2011. A Semantic Portal for Next Generation Monitoring Systems. In Proceedings of 10th International Semantic Web Conference (October 23-27 2011, Bonn, Germany). http://tw.rpi.edu/web/doc/iswc2011_swqp Zheng, J., Wang, P., Patton, E., Lebo, T., Luciano, J.S., and McGuinness, D.L. 2011. A Semantically-Enabled Provenance-Aware Water Quality Portal. In Proceedings of EIM 2011 (September 28-29 2011, Santa Barbara, CA, USA). http://tw.rpi.edu/web/doc/eim2011_swqp Review static demo: http://inference-web.org/wiki/Semantic_Water_Quality_Portal
Class 8: Reading Assignment:
Class 9: Reading Assignment:
Class 10: Reading Assignment: Optional Readings: Alyssa Glass, Deborah L. McGuinness, Paulo Pinheiro da Silva, and Michael Wolverton. Trustable Task Processing Systems. In Roth-Berghofer, T., and Richter, M.M., editors, KI Journal, Special Issue on Explanation, Kunstliche Intelligenz, 2008. CALO Andrew. J. Cowell, Deborah L. McGuinness, Carrie F. Varley, and David A. Thurman. Knowledge-Worker Requirements for Next Generation Query Answering and Explanation Systems. In the Proceedings of the Workshop on Intelligent User Interfaces for Intelligence Analysis, International Conference on Intelligent User Interfaces (IUI 2006), Sydney, Australia NIMD
Class 11: Reading Assignment:
Class 12: Reading Assignment:
Class 13: Reading Assignment: None.
Enrolled students may miss at most one class without permission of the instructor. Once one class has been missed (with or without permission) no additional classes may be missed without permission.