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Prof. Adriaan ( Adrie ) J.M. Beulens and Huub Scholten Wageningen Universit y

CMS 2004. An Ontological Framework for Structuring Process Knowledge for the Process of Model-Based Problem Solving. Reference: HarmoniQua. Prof. Adriaan ( Adrie ) J.M. Beulens and Huub Scholten Wageningen Universit y Social Sciences Group, Information technology Group. September 1, 2004

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Prof. Adriaan ( Adrie ) J.M. Beulens and Huub Scholten Wageningen Universit y

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  1. CMS 2004 An Ontological Framework for Structuring Process Knowledge for the Process of Model-Based Problem Solving. Reference: HarmoniQua Prof. Adriaan (Adrie) J.M. Beulens andHuub Scholten Wageningen University Social Sciences Group, Information technology Group.September 1, 2004 File:TranspCMS01092004

  2. Contents • Problem statement • Generic Project Aims. • Main project phases. • Dimensions for project Management. • Generic Process Specification. • Requirements for Automatic Project Support. • Reference Strategy and Ontological Approach. • Results sofar. • Detail in presentation by Huub Scholten.

  3. Problem Statement • How to manage effectively Development and Design Projects? • How to make these projects transparent?

  4. Generic project goals: • A product and service with integrity and quality attributes as envisaged, negotiated and agreed upon in proposal.It is assumed that there are a #of measures associated with product, execution and management process of the project.These in terms of: • What activities need to be done. • What are best practices in a disciplinary community for executing these activities related to problem (+domain). • How can one evaluate merits of (alternative) approaches for an activity. • Timely Delivery of Product and Service (quality assurance). • Delivery within budgets and using allowed resources. • Project administration and reporting. Accountability, auditing and quality assurance and control  necessity to closely monitor execution of process by proper administrations about project execution and resources used. This involves: • Activities executed. • Methods, tools, models, data resources and systems used. • Associates executing activities (with skills). • Time and other resources used in activities. For costs and (accrued) benefits.

  5. Major Project phases: • Initial Project Definition, Proposal and Acquisition. • Project Execution and Delivery. • Commonalities: • Problem Statement • Cost benefit • Approach to execute and manage phase of project. • Differences: • Level of abstraction (less detailed– very detailed) • Norm resources versus specific resources during execution. • Choice of methods, models and tools not specific, allowed choice versus detailed choice during execution. • Etc. • Remainder: look at execution .

  6. Dimensions of project management • Process Dimension: Participants need shared understanding of problem (domain) and process to tackle it. • Content dimension: Choices of disciplinary contributions (models and approaches). Manage gap between what is needed, available and possible. • Transparency and Quality dimension. • Acquisition phase: shared understanding about what to achieve (product, quality and process) and at what cost and when. • Execution phase: • Do as agreed upon--- • Administrate and be able to show that team has performed as agreed.

  7. Main Components of Research Process.

  8. Supporting Project Management task Elements of PMT: • Making specifications of project phases. • Followed by execution and obtaining Meta Data about execution for monitoring and control. Automated support calls for: • Formal and precise description of specification . • A specification using terms and relationships that are unambiguous for man and machine. That is obtained via ontological approach. • A specification that is derived form a generic one in the (sub) problem domain. A generic one that is seen as ‘best practice’. This is called using a reference strategy.

  9. Ontological approach Ontology: Formal specification of a Shared conceptualization. Develop ontological structure which is the frame of the intended knowledge base. That is the ‘data structure’ for a certain domain. Some vocabulary terms in this context: • Terms/concepts and relations used to describe domain. • Relations organize concepts in a hierarchical or some self-defined structure. • Instance: actual knowledge. • See Gruber, Borst, Uschold, Chandreskaran.

  10. Project results to date. • Detailed ontological framework for development of a knowledge base for process models. • A generic process ontology in area Water Management. Ontology and knowledge base are proof of principle. • Qualitative evaluation: approach can be used in other domains. • Evaluations by partners: objectives of transparency and quality assurance can be met by approach.

  11. Concluding remarks • Rest of story by Huub.

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