@article{WojciechowskiPogscheba2022, author = {Wojciechowski, Manfred and Pogscheba, Patrick}, title = {Building a COVID-Safe Navigation App Using a Meta-Model Based Context Server}, series = {sensors}, volume = {22}, journal = {sensors}, number = {24}, publisher = {MDPI}, issn = {1424-8220}, doi = {10.3390/s22249890}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-39570}, pages = {1 -- 14}, year = {2022}, abstract = {Building context-aware applications is an already widely researched topic. It is our belief that context awareness has the potential to supplement the Internet of Things, when a suitable methodology including supporting tools will ease the development of context-aware applications. We believe that a meta-model based approach can be key to achieving this goal. In this paper, we present our meta-model based methodology, which allows us to define and build application-specific context models and the integration of sensor data without any programming. We describe how that methodology is applied with the implementation of a relatively simple context-aware COVID-safe navigation app. The outcome showed that programmers with no experience in context-awareness were able to understand the concepts easily and were able to effectively use it after receiving a short training. Therefore, context-awareness is able to be implemented within a short amount of time. We conclude that this can also be the case for the development of other context-aware applications, which have the same context-awareness characteristics. We have also identified further optimization potential, which we will discuss at the conclusion of this article.}, language = {en} }