面向任务和基于相似性的检索

David Lauzon, T. Rose
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引用次数: 16

摘要

我们提供了两个用于识别存储库中的设计信息的支持工具。首先,面向任务支持根据设计人员的工作上下文动态组合存储库信息。其次,基于相似度的检索克服了精确匹配的障碍。当请求的存储库项不可用时,它支持通过匹配标准和关系来搜索密切相关的项。该算法使用领域分类法来度量物品之间的虚拟距离,而不是使用人工的数值度量。此外,调用相似的存储库项的标准由用户在查询中确定和制定,而不是硬连接到检索接口中。这两种功能的结合提供了一个可见性概念,允许设计师为他们手头的特定工作识别设计信息。
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Task-oriented and similarity-based retrieval
We present two support facilities for identifying design information in a repository. First, task-orientation supports the dynamic composition of repository information with respect to a designer's working context. Second, similarity-based retrieval overcomes the impediment of exact matching. When a requested repository item is not available, it supports the search for closely related items by means of matching criteria and relationships. The algorithm uses domain taxonomies to measure the virtual distance between items, rather than applying artificial numerical measures. Moreover, the criteria for calling repository items similar are determined and formulated by the user in the query, rather than being hard-wired into the retrieval interface. The combination of both features furnishes a visibility concept, that allows designers to identify design information for their specific job at hand.<>
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