@article {1973216,
	title = {Matching Knowledge Elements in Concept Maps Using a Similarity Flooding Algorithm},
	journal = {Decision Support Systems},
	volume = {42},
	year = {2006},
	month = {2006},
	pages = {1290-1306},
	abstract = {Concept mapping systems used in education and knowledge management emphasize flexibility of representation to enhance learning and facilitate knowledge capture. Collections of concept maps exhibit terminology variance, informality, and organizational variation. These factors make it difficult to match elements between maps in comparison, retrieval, and merging processes. In this work, we add an element anchoring mechanism to a similarity flooding (SF) algorithm to match nodes and substructures between pairs of simulated maps and student-drawn concept maps. Experimental results show significant improvement over simple string matching with combined recall accuracy of 91\% for conceptual nodes and concept {\textasciidieresis} link {\textasciidieresis} concept propositions in student-drawn maps.},
	keywords = {Accounting, BIS},
	url = {http://people.oregonstate.edu/~marshaby/Papers/MatchKnowledgeElements_PrePrintVersion.pdf},
	author = {Marshall,Byron and Chen,Hsinchun and Madhusudan,Therani}
}
@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}
}
@conference {1984616,
	title = {Element Matching in Concept Maps},
	booktitle = {Proceedings of the 2004 Joint ACM/IEEE Conference on Digital Libraries (JCDL 2004), June 7-11, 2004 , Tucson, AZ},
	year = {2004},
	month = {2004},
	keywords = {Accounting, BIS},
	url = {http://people.oregonstate.edu/~marshaby/Papers/Marshall_JCDL2004_ElementMatching.pdf},
	author = {Marshall,Byron and Madhusudan,Therani}
}