Extending Semantic Web Tools for Improving Smart Spaces Interoperability and Usability

Rodrı́guez, Natalia; Lilius, Johan; Cuéllar, Manuel Pegalajar; Calvo-Flores, Miguel Delgado

doi:10.1007/978-3-319-00551-5_6

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…Arches represent data and object properties, and their instantiation is used to represent (and query) individuals (i.e., instances). The algorithm that maps a visual rule into a SPARQL query-based subscription in our publish/subscribe architecture, M3 Redland can be found in [4]. IF/THEN Session: Uncovering the Hidden Pulse of a City UbiComp'13, September 8-12, 2013, Zurich, Switzerland (Mamdani) rules can involve all kinds of sensors and they should be able to be tested before activation, as well as shared among users.…”

Section: A Visual Language For Semantic and Fuzzy Programming Of Smarmentioning

confidence: 99%

Rapid prototyping of semantic applications in smart spaces with a visual rule language

Rodrı́guez

Lilius

Cuéllar

et al. 2013

Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication

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One of the major limitations of Ambient Intelligent systems today is the lack of semantic models in human behavior and the environment, so that the system can recognize the specific activity being performed by the users and act accordingly. In this context, we address the general problem of knowledge representation in Smart Spaces. In order to monitor and act over human behavior in intelligent environments, we design a sufficiently simple and flexible visual language to be managed by non-expert users, thus facilitating the programming of the environment. The prototype of the visual language serves to represent rules about human behavior to provide the Smart Space with more usability. These rules can be mapped into SPARQL queries and rule subscriptions. In addition, we add support to represent imprecise and fuzzy knowledge. The proposed general-domain language can help managing resource allocation, assisting people with special needs, in remote monitoring and other domains.

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Section: A Visual Language For Semantic and Fuzzy Programming Of Smarmentioning

confidence: 99%

Rapid prototyping of semantic applications in smart spaces with a visual rule language

Rodrı́guez

Lilius

Cuéllar

et al. 2013

Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication

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“…The early use cases for the Smart-M3 were related to intelligent homes [29,58,59], in which interaction between the devices and the users in the home were made easier by automating events and centralizing how functions of devices were accessible. Since then, other use cases ranging from home entertainment systems [57] to person health monitoring security [45] or bioimaging [28] purposes have been proposed.…”

Section: Fig 2 Smart-m3 Overviewmentioning

confidence: 99%

RDF Stores for Enhanced Living Environments: An Overview

Karvinen

Díaz-Rodríguez

Grönroos

et al. 2019

Lecture Notes in Computer Science

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Handling large knowledge bases of information from different domains such as the World Wide Web is a complex problem addressed in the Resource Description Framework (RDF) by adding semantic meaning to the data itself. The amount of linked data has brought with it a number of specialized databases that are capable of storing and processing RDF data, called RDF stores. We explore the RDF store landscape with the aim of finding an RDF store that sufficiently meets the storage needs of an enhanced living environment, more concretely the requirements of a Smart Space platform aimed at running on a cluster set up of low-power hardware that can be run locally entirely at home with the purpose of logging data for a reactive assistive system involving, e.g., activity recognition or domotics. We present a literature analysis of RDF stores and identify promising candidates for implementation of consumer Smart Spaces. Based on the insights provided with our study, we conclude by suggesting different relevant aspects of RDF storage systems that need to be considered in Ambient Assisted Living environments and a comparison of available solutions.

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“…Finally, several projects have explored how smart space interoperability can be enhanced through the use of semantic technologies [20]- [22]. Such approaches generally assume that every smart device will (and can) be represented as a service described by the Resource Description Framework (RDF), a family of machine-readable semantic metadata models.…”

Section: Related Workmentioning

confidence: 99%

Ambient Control: A mobile framework for dynamically remixing the Internet of Things

Pagel

Carlson

2015

2015 IEEE 16th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

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The number of networked smart devices available in everyday environments is rapidly increasing; however, many current devices adopt mutually incompatible networks, protocols, and application programming interfaces. As such, creating mobile applications that dynamically discover and integrate ambient functionality across multiple vertical markets remains challenging. In this paper, we introduce a novel middleware framework, called Ambient Control, which enables commodity mobile devices (e.g., smart-phones) to dynamically mediate control messaging between incompatible smart devices situated in the user's environment. Ambient Control enables a variety of control capabilities and protocol translation services to be dynamically installed into a user's mobile device on-demand using plug-ins. The approach also features an intuitive "Tap to Interact" workflow that allows a user to tap nearby smart devices with a smart-phone to install required interaction plug-ins and automatically "wire" them together in interesting and potentially unforeseen ways. In this paper, we present a detailed overview of the Ambient Control framework, introduce our fully functional prototype, and present an evaluation indicating that the prototype provides efficient messaging performance and imposes low processing and memory overhead, making it suitable for deployment on many commodity mobile devices.

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Extending Semantic Web Tools for Improving Smart Spaces Interoperability and Usability

Cited by 6 publications

References 9 publications

Rapid prototyping of semantic applications in smart spaces with a visual rule language

Rapid prototyping of semantic applications in smart spaces with a visual rule language

RDF Stores for Enhanced Living Environments: An Overview

Ambient Control: A mobile framework for dynamically remixing the Internet of Things

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