5,079 research outputs found

    A study of existing Ontologies in the IoT-domain

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    Several domains have adopted the increasing use of IoT-based devices to collect sensor data for generating abstractions and perceptions of the real world. This sensor data is multi-modal and heterogeneous in nature. This heterogeneity induces interoperability issues while developing cross-domain applications, thereby restricting the possibility of reusing sensor data to develop new applications. As a solution to this, semantic approaches have been proposed in the literature to tackle problems related to interoperability of sensor data. Several ontologies have been proposed to handle different aspects of IoT-based sensor data collection, ranging from discovering the IoT sensors for data collection to applying reasoning on the collected sensor data for drawing inferences. In this paper, we survey these existing semantic ontologies to provide an overview of the recent developments in this field. We highlight the fundamental ontological concepts (e.g., sensor-capabilities and context-awareness) required for an IoT-based application, and survey the existing ontologies which include these concepts. Based on our study, we also identify the shortcomings of currently available ontologies, which serves as a stepping stone to state the need for a common unified ontology for the IoT domain.Comment: Submitted to Elsevier JWS SI on Web semantics for the Internet/Web of Thing

    Supporting sustainable e‐learning

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    This paper draws upon work carried out within phase one of a national forum for support staff, funded by the UK Learning and Teaching Support Network Generic Centre. It sets out themes in current Learning Technology research within the context of institutional practice. It reports the responses of a range of e‐learning support staff to new developments in the reuse and sharing of Learning Objects. The article highlights tensions across support units, inconsistencies in support provision and confusion over issues concerning different modes of teaching. It also forewarns a growing gap between institutional practice and research in the development of approaches to sustainable e‐learning

    Key Skills; Rhetoric, Reality and Reflection

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    End-User-Development for Smart Homes: Relevance and Challenges

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    International audienceUbiquitous computing is now mature enough to unleash the potential of Smart Homes. The obstacle is no more about hardware concerns but lies in how inhabitants can build, configure and control their Smart Home. In this paper, we defend the idea that End-User-Development (EUD), which considers inhabitants as makers rather than mere consumers, is an effective approach for tackling this obstacle. We reflect on the lifecycle of devices and services to discuss challenges that EUD system will have to address in the Smart Home context: installation and maintenance, designation, control, development (including programming, testing, and reusing), and sharing
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