At the other end we have databases, programs and sensor output. Using the semantic web to progress from sensor frameworks to context frameworks is not new it has been proposed in the recent semantic sensor web initiative 8, 9. Pdf semantic web by michael workman, data processing. Semantic sensor web ssw millions of sensors around the globe currently collect avalanches of data about our environment. Semantic web x 2018 10x ios press the sosassn ontology. An ontological representation of time series observations on. Semantic annotation and reasoning for sensor data surrey. After this pioneering work, many other works have embraced the idea of applying semantic technologies for different tasks related to the. The observations that they produce are made available with heterogeneous schemas, vocabularies and data formats, making it difficult to share and reuse this data, for other purposes than those for which they were originally set up. Compare the best free open source semantic web rdf, owl, etc. This paper presents a novel approach to combine, process and enrich data from heterogeneous sensor networks, and, further, to semantically annotate the observations of the sensed world thus obtained and publish them on the future semantic sensor web.
Pdf sensors are distributed across the globe leading to an avalanche of data about our environment. Wei, w and barnaghi, p 2009 semantic annotation and reasoning for sensor data in. The ssn ontology of the w3c semantic sensor network incubator. Enabling semantic mediation in ogc sensor web enablement offerings. Krzysztof janowicz, pennsylvania state university, usa. It will use the internet as a scaffold to support and transmit its. The term semantic sensor web was coined by sheth et al. The semantic web can work because it relies on standards that the community adheres to the essence of the semantic web is that one can integrate data from different places using the same, ie, standard representation w3c has always been one of the major players in this technology in what follows, i will give an overview of what is. Then, an algorithm named sdrm is designed to transform sensor data to rdf conforming to ssn ontology, based on the predefined sasml mapping file. The semantic sensor network ssn ontology compton et al. Mar 31, 2020 pdf semantic web by michael workman, data processing.
Ontologybased streaming data access aims at generating semantic web con tent from existing. The sso was developed as a minimal and common ground for heavyweight ontologies for the use on the semantic sensor web as well as to explicitly address the need. Moreover, we transformed such annotations to semantic descriptions, by using the cloudbased thingspeak middleware. Software downloads from the largest open source applications and software directory. In semantic sensor web the lack of semantics in the sensor web is intended to be overcome by using semantic web technologies, so heterogeneous sensor data. Five challenges for sensor web applications this section starts presenting those challenges in the area of the sensor web that have to do with the characteristics of the data sources that are handled in typical sensor web applications, and then moves into those challenges that have to do with the creation of. Both ontologies are described below, and examples of their usage are given.
In this paper, such an ontology model is proposed, as well as a realworld use. Further, we have developed a prototype to demonstrate the effectiveness of our method. Using scxml for semantic annotation and context modelling. The trend towards making cities, offices, and homes smarter by turning them into sensor rich. The rapid development and deployment of sensor technology involves many different types of sensors, both remote and in situ, with such diverse capabilities as range, modality, and maneuverability. This article is from sensors basel, switzerland, volume 12.
Pdf ontology alignment architecture for semantic sensor. Ontologies enable reasoning, classification and other types of automation to extend the swe stan dards of the ogc. To date, the web has developed most rapidly as a medium of documents for people rather than for data and information that can be processed automatically. Pdf ontology alignment architecture for semantic sensor web.
Most of the work done on this topic, performed in some cases under the umbrella of the ogc sensor web enablement working group1. Sharing humangenerated observations by integrating hmi and. The encoding of sensor descriptions and sensor observation data with semantic web languages enables more expressive representation, advanced access, and formal analysis of sensor resources. The joint w3c world wide web consortium and ogc open geospatial consortium spatial data on the web sdw working group developed a set of ontologies to describe sensors, actuators, samplers as well as their observations, actuation, and sampling activities. In this paper we propose the use of statecharts, as implemented in w3c scxml language, to enrich and process lowlevel data sensor networks resulting in a. Semantic web technologies have been proposed as a means to enable interoperability for sensors and sensing systems. The encoding of sensor descriptions and sensor observation data. W3c semantic sensor networks ontologies, applications, and future directions cory henson ohio center of excellence in knowledgeenabled computing kno. I am new in the semantic web field, and im trying to create a java model using jena to extract classes, subclass andor comments from an owl file any helpguidance on how to do such thing would be. Project to address data quality in sensor web enablement frameworks. In our methodology we proposed to encode sensor and observation data annotations through semantic web technologies and to embed them within devices. A semantic sensor web for environmental decision support. The semantic sensor web ssw 16 suggests enriching sensor observations with semantic metadata to enhance interoperability, with some of the semantic processing taking place on embedded devices. The trend towards making cities, offices, and homes smarter by turning them into sensorrich.
Ontologies that represent sensors and observations can form the basis for semantic sensor data infrastructures. Semantic sensor data search in a largescale federated sensor. Semantic web technologies a set of technologies and frameworks that enable the web of data. Despite their importance in image analysis and scene under. Article pdf available in journal of web semantics 17 december 2012 with 818.
Sensor ontology building in semantic sensor web springerlink. The combination of sensor networks with the web, web services and database technologies, was named some years ago as the sensor web or the. Lastly we discuss the potential of a semantic web based bim for future smart buildings. Bridging the semantic sensor web and multimodal humanmachine.
To address the shortcomings of existing sensor ontologies, such as lack of a unified ontology framework and being built completely manually, this work proposes. Pdf semantic sensor web cory andrew henson academia. The semantic sensor network ssn ontology is an ontology for. Ppt semantic sensor web powerpoint presentation free to. Creator amelie gyrard eurecom insight nuigderi designed and implemented by amelie gyrard, she was a phd student at eurecom under the supervision of prof. Ppt semantic sensor web powerpoint presentation free to view id. Section4illustrates an integrated design workflow that supports this goal. Currently, loviot is maintained since she is a postdoc researcher at insight within the. Ontology alignment architecture for semantic sensor web integration article pdf available in sensors 9. Abstractcurrent internet of things concepts point to a future where connected objects gather. Such ontologies may help to cope with the problems of sensor discovery, data integration, and reuse, but need to be used in conjunction with algorithms for sensor selection and ranking. Aug 27, 20 from using twitter in participatory sensing and bicyclemounted sensors in pervasive environmental sensing, to creating a 100,000 sensor geomashup using semantic web technology, to the 3d visualisation of indoor and outdoor surveillance data in realtime and the development of nextgeneration. Resource description framework rdf a variety of data interchange formats e.
Any information or knowledge related to systems is. The recent advancements in this area are discussed in several existing works including the w3cs semantic sensor network incubator groups ontology. Also, related concepts, subgroups of sensor types, or other dependencies cannot be explored and the integration of domain ontologies, semantic queries and semantic transformations in sensor web infrastructure have to be addressed. Transforming sensor data to rdf based on ssn ontology. The adobe flash plugin is needed to view this content. An ontological representation of time series observations could provide a more expressive model and resolve problems of semantic level interoperability of sensor networks on the semantic sensor web. Semantic sensor networks ceur workshop proceedings. The authors propose an ontologybased approach for providing data. Semantic sensor network ontology world wide web consortium. With a view to addressing this problem, the semantic sensor web ssw proposes that sensor data be annotated with semantic metadata that will both increase interoperability and provide contextual. The semantic sensor network ontology world wide web. It is the realization of the sensor web in the context of the semantic web. Integrating building information modeling and sensor.
Rdfxml,n3,turtle,ntriples notations such as rdf schema rdfs and the web ontology language owl all are intended to provide a formal. This was consistent with w3c endorsed best practices on publishing data on the web, which recommend a linked data approach, allowing sensor data, for example, to be published as part of a global and densely interconnected graph of data 34. Pdf the ssn ontology of the w3c semantic sensor network. Sensors are a major source of data available on the. The semantic sensor web ssw is a marriage of sensor and semantic web technologies. Five challenges for the semantic sensor web semantic web journal. Five challenges for the semantic sensor web editor s.
Sensor networks are increasingly being deployed in the environment for many different purposes. The continual emergence of new terms such as sensor web, realworld internet, semantic sensor web, semantic sensor internet or human sensor web, suggests that more fundamental research effort is required to advance in how to effectively articulate and provide access to humangenerated observations, human sensors, sensor observations and the. Like the internet, the semantic web will be as decentralized as possible. Enabling semantic mediation in ogc sensor web enablement. The combination of sensor networks with the web, web services and database technologies, was named some years ago as the sensor web or the sensor internet 1,6,7,11,15.
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