In order to enhance the communication between sensor networks in the Internet of things (IoT), it is indispensable to establish the semantic connections between sensor ontologies in this field. For this purpose, this paper proposes an up-and-coming sensor ontology integrating technique, which uses debate mechanism (DM) to extract the sensor ontology alignment from various alignments determined by different matchers. In particular, we use the correctness factor of each matcher to determine a correspondence’s global factor, and utilize the support strength and disprove strength in the debating process to calculate its local factor. Through comprehensively considering these two factors, the judgment factor of an entity mapping can be obtained, which is further applied in extracting the final sensor ontology alignment. This work makes use of the bibliographic track provided by the Ontology Alignment Evaluation Initiative (OAEI) and five real sensor ontologies in the experiment to assess the performance of our method. The comparing results with the most advanced ontology matching techniques show the robustness and effectiveness of our approach.

中文翻译：

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将传感器本体与全局和局部对齐提取相集成

为了增强物联网（IoT）中传感器网络之间的通信，在该领域中建立传感器本体之间的语义连接是必不可少的。为此，本文提出了一种新兴的传感器本体集成技术，该技术使用辩论机制（DM）从由不同匹配器确定的各种对齐方式中提取传感器本体对齐方式。特别是，我们使用每个匹配器的正确性因子来确定对应的全局因子，并在辩论过程中利用支持强度和反证强度来计算其局部因子。通过综合考虑这两个因素，可以获得实体映射的判断因子，并将其进一步应用于提取最终的传感器本体对齐方式。这项工作利用了本体一致性评估计划（OAEI）提供的书目轨迹和实验中的五个实际传感器本体来评估我们方法的性能。与最先进的本体匹配技术的比较结果表明了我们方法的鲁棒性和有效性。