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首页> 外文期刊>Ecological informatics: an international journal on ecoinformatics and computational ecology >Collaborative capture and reuse of system knowledge
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Collaborative capture and reuse of system knowledge

机译：协同捕获和重用系统知识

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摘要

Reusing parts of models is often experienced as being difficult and is not a mainstream practice in fields such as environmental science. Reuse poses a number of issues which include making models available to other researchers, searching for relevant models, and correctly taking a model part and integrating it into another model. An environment that supports reuse activities enhances the collaborative capture of knowledge and relieves researchers of redoing existing modelling work. Within the NaturNet-Redime project we have created a working environment around the qualitative modelling and simulation tool Garp3 that supports reuse of model parts, and the sharing and search for relevant qualitative models. Such support contributes to an increased reuse of model parts in the environmental modelling community. This article describes the established functionality to address these issues. It includes copy functionality in Garp3, the Web Ontology Language (OWL) formalization of QR models, and the qualitative model repository for which the OWL formalisation was created. The issues identified regarding reuse are not limited to Qualitative Reasoning and Environmental Modelling, but are in principle applicable to any field that uses formal representations of knowledge.
机译：重用模型的某些部分通常很困难，并且不是环境科学等领域的主流实践。重用带来了许多问题，包括使模型可供其他研究人员使用，搜索相关模型，正确地使用模型的一部分并将其集成到另一个模型中。支持重用活动的环境可以增强知识的协作捕获，并减轻研究人员重做现有建模工作的负担。在NaturNet-Redime项目中，我们围绕定性建模和仿真工具Garp3创建了一个工作环境，该工具支持模型零件的重用以及共享和搜索相关的定性模型。这种支持有助于增加环境建模社区中模型零件的重用。本文介绍了已建立的功能来解决这些问题。它包括Garp3中的复制功能，QR模型的Web本体语言（OWL）形式化，以及为其创建OWL形式化的定性模型存储库。所发现的与重用有关的问题不仅限于定性推理和环境建模，而且原则上适用于使用形式化知识表示的任何领域。

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