Semantic web technologies are gaining momentum in the WoT (Web of Things) community for its promising ability to manage the increasing semantic heterogeneity between devices (Semantic Web of Things, SWoT) in ambient environments. However, most of the approaches rely on ad-hoc and static knowledge models (ontologies) designed for specific domains and applications. While it is a solution for handling the semantic heterogeneity issue, it offers no perspective in term of ontology evolution over time. We study in this paper several approaches allowing: (1) to handle the semantic heterogeneity issue; (2) to capitalize the knowledge contributions throughout the life of the system allowing it to potentially better assist people in their environment over time. One of the approaches is validated on two real use-cases.
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机译：语义Web技术因其在环境环境中管理设备（语义Web of Things，SWoT）之间不断增加的语义异构性的有希望的能力而在WoT（Web of Things）社区中获得了发展动力。但是，大多数方法都依赖于为特定领域和应用程序设计的即席和静态知识模型（本体）。虽然这是解决语义异质性问题的解决方案，但它不提供关于随时间推移的本体演化的观点。我们在本文中研究了几种方法，它们允许：（1）处理语义异质性问题； （2）在整个系统的生命周期内将知识贡献转化为资本，从而随着时间的推移更好地为人们提供环境方面的帮助。其中一种方法在两个实际用例中得到了验证。
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