基于规则的匹配过程构造
Rule-based Construction of Matching Processes
摘要：
映射复杂的元数据结构在数据集成、本体对齐或模型管理等许多领域中至关重要。为了加速该过程，开发了自动匹配系统来计算可以由用户校正的映射建议。然而，构造和调优匹配策略仍然需要匹配专家的大量手动工作以及正确的映射来评估生成的映射。因此，我们提出了一个自我配置的模式匹配系统，能够自动适应给定的映射问题。我们的方法是基于分析输入模式以及中间匹配结果。各种匹配规则使用分析结果来自动构造和适配用于给定匹配任务的底层匹配过程。我们全面评估我们的方法对不同的映射问题，从模式，本体和模型管理域。评估表明，我们的系统是能够强大地返回良好的质量映射在不同的映射问题和域。
英文摘要：
Mapping complex metadata structures is crucial in a number of domains such as data integration, ontology alignment or model management. To speed up that process automatic matching systems were developed to compute mapping suggestions that can be corrected by a user. However, constructing and tuning match strategies still requires a high manual effort by matching experts as well as correct mappings to evaluate generated mappings. We therefore propose a self-configuring schema matching system that is able to automatically adapt to the given mapping problem at hand. Our approach is based on analyzing the input schemas as well as intermediate matching results. A variety of matching rules use the analysis results to automatically construct and adapt an underlying matching process for a given match task. We comprehensively evaluate our approach on different mapping problems from the schema, ontology and model management domains. The evaluation shows that our system is able to robustly return good quality mappings across different mapping problems and domains.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
