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How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study.

, , , and . J. Adv. Comput. Intell. Intell. Informatics, 14 (6): 700-707 (2010)

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Tracking rdf graph provenance using rdf molecules, , , , and . Proc. of the 4th International Semantic Web Conference (Poster), page 42. (2005)Knowledge Provenance Infrastructure., , and . IEEE Data Eng. Bull., 26 (4): 26-32 (2003)CI-Miner: semantically enhancing scientific processes., , , and . Earth Sci. Informatics, 2 (4): 249-269 (2009)A Model-Based Workflow Approach for Scientific Applications, , and . (2006)The Gravity Data Ontology: Laying the Foundation for Workflow-Driven Ontologies., , , , and . GeoS, volume 4853 of Lecture Notes in Computer Science, page 278-287. Springer, (2007)Using Domain Requirements to Achieve Science-Oriented Provenance., , , , and . IPAW, volume 6378 of Lecture Notes in Computer Science, page 301-303. Springer, (2010)Towards believing answers from cyber-infrastructure-based applications., and . PST, volume 380 of ACM International Conference Proceeding Series, page 70. ACM, (2006)Notational Support for the Design of Augmented Reality Systems., , and . DSV-IS, volume 2545 of Lecture Notes in Computer Science, page 74-88. Springer, (2002)Knowledge Provenance in Virtual Observatories: Application to Image Data Pipelines., , and . ISWC (Posters & Demos), volume 401 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study., , , and . J. Adv. Comput. Intell. Intell. Informatics, 14 (6): 700-707 (2010)