01362nas a2200181   4500008004100000245008600041210006900127260000900196300001400205490000700219520077400226653001501000653000801015100002001023700001901043700002401062856009401086       2006                        eng d00aMatching Knowledge Elements in Concept Maps Using a Similarity Flooding Algorithm0 aMatching Knowledge Elements in Concept Maps Using a Similarity F  c2006  a1290-13060 v423 aConcept 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 ¨ link ¨ concept propositions in student-drawn maps.10aAccounting10aBIS1 aMarshall, Byron1 aChen, Hsinchun1 aMadhusudan, Therani  uhttp://people.oregonstate.edu/~marshaby/Papers/MatchKnowledgeElements_PrePrintVersion.pdf01636nas a2200181   4500008004100000245006700041210006400108260000900172300001100181490000700192520109700199653001501296653000801311100002401319700001501343700002001358856007601378       2004                        eng d00aA Case-based Reasoning Framework for Workflow Model Management0 aCasebased Reasoning Framework for Workflow Model Management  c2004  a87-1150 v503 aIn 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).10aAccounting10aBIS1 aMadhusudan, Therani1 aZhao, Leon1 aMarshall, Byron  uhttp://people.oregonstate.edu/~marshaby/Papers/Madhusudan_DKE_CODAW.pdf00414nas a2200133   4500008004100000245003700041210003700078260000900115653001500124653000800139100002000147700002400167856008900191       2004                        eng d00aElement Matching in Concept Maps0 aElement Matching in Concept Maps  c200410aAccounting10aBIS1 aMarshall, Byron1 aMadhusudan, Therani  uhttp://people.oregonstate.edu/~marshaby/Papers/Marshall_JCDL2004_ElementMatching.pdf