@article {1973191,
	title = {Can Intermediary-based Science Standards Crosswalking Work? Some Evidence from Mining the Standard Alignment Tool (SAT)},
	journal = {Journal of the Association for Information Science and Technology},
	volume = {63},
	year = {2012},
	month = {2012},
	pages = {1843-1858},
	abstract = {We explore the feasibility of intermediary-based crosswalking and alignment of K-12 science education standards. With increasing availability of K-12 science, technology, engineering and mathematics (STEM) digital library content, alignment of that content with educational standards is a significant and continuous challenge. Whereas direct, one-to-one alignment of standards is preferable but currently unsustainable in its resource demands, less resource-intensive intermediary-based alignment offers an interesting alternative. But will it work? We present the results from an experiment in which the machine-based Standard Alignment Tool (SAT) {\textemdash}incorporated in the National Science Digital Library (NSDL){\textemdash} was used to collect over half a million direct alignments between standards from different standard-authoring bodies. These were then used to compute intermediary-based alignments derived from the well-known AAAS Project 2061 Benchmarks and NSES standards. Results show strong variation among authoring bodies in their success to crosswalk with best results for those who modeled their standards on the intermediaries. Results furthermore show a strong inverse relationship between recall and precision when both intermediates where involved in the crosswalking.},
	keywords = {Accounting, BIS},
	url = {http://people.oregonstate.edu/~marshaby/Papers/ReitsmaMarshallChart_StandardsCrosswalking_JASIST2012.pdf},
	author = {Reitsma,Reindert and Marshall,Byron and Chart,Trevor}
}
@article {1973236,
	title = {A Case-based Reasoning Framework for Workflow Model Management},
	journal = {Data and Knowledge Engineering},
	volume = {50},
	year = {2004},
	month = {2004},
	pages = {87-115},
	abstract = {In order to support efficient workflow design, recent commercial workflow systems are providing templates of common business processes. These templates, called cases, can be modified individually or collectively into a new workflow to meet the business specification. However, little research has been done on how to manage workflow models, including issues such as model storage, model retrieval, model reuse and assembly. In this paper, we propose a novel framework to support workflow modeling and design by adapting workflow cases from a repository of process models. Our approach to workflow model management is based on a structured workflow lifecycle and leverages recent advances in model management and case-based reasoning techniques. Our contributions include a conceptual model of workflow cases, a similarity flooding algorithm for workflow case retrieval, and a domain-independent AI planning approach to workflow case composition. We illustrate the workflow model management framework with a prototype system called Case-Oriented Design Assistant for Workflow Modeling (CODAW).},
	keywords = {Accounting, BIS},
	url = {http://people.oregonstate.edu/~marshaby/Papers/Madhusudan_DKE_CODAW.pdf},
	author = {Madhusudan,Therani and Zhao,J.  Leon and Marshall,Byron}
}
