Reasoning Support for Mapping Revision
Reasoning Support for Mapping Revision
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DOI：
10.1093/logcom/exn047
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发表时间：
2009-10
期刊：
影响因子：
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通讯作者：
Christian Meilicke;H. Stuckenschmidt;A. Tamilin
中科院分区：
文献类型：
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作者：
Christian Meilicke;H. Stuckenschmidt;A. Tamilin
在异构本体之间找到正确的语义对应关系是语义Web技术领域中最具挑战性的问题之一。由于手动构建这种映射在现实场景中是不可行的，因此已经开发了许多自动匹配工具，这些工具提出了基于通用算法的映射。由于这些算法经常产生不正确的结果，为了保证生成的映射的质量，手动修改是不可避免的。基准匹配系统的经验表明，手动修改映射仍然是一个非常困难的问题，因为它必须考虑到本体的语义以及映射之间的相互作用。在这篇文章中，我们提出的方法，支持人类专家的任务，修改自动创建的映射。特别是，我们提出了非标准的推理方法检测和传播的影响，专家决策的正确性的映射。
Finding correct semantic correspondences between heterogeneous ontologies is one of the most challenging problems in the area of semantic web technologies. As manually constructing such mappings is not feasible in realistic scenarios, a number of automatic matching tools have been developed that propose mappings based on general heuristics. As these heuristics often produce incorrect results, a manual revision is inevitable in order to guarantee the quality of generated mappings. Experiences with benchmarking matching systems revealed that the manual revision of mappings is still a very difficult problem because it has to take the semantics of the ontologies as well as interactions between mappings into account. In this article, we propose methods for supporting human experts in the task of revising automatically created mappings. In particular, we present non-standard reasoning methods for detecting and propagating implications of expert decisions on the correctness of a mapping.