Semihierarchical semantic aware storage architecture. Semantic architecture is a novel concept in software architecture which envisions enabling the architecture community to unambiguously capture, catalog, communicate, preserve, and interoperably exchange semantics of their architectures, thus making architecture descriptions true assets. The discussion of semantic web technology is out of scope for this paper, but references and a brief discussion in the light of the aec domain can be found in pauwels 2010a. The linking of elements from semantic web technologies with sensor networks has been called semantic sensor web and has among its main features the use of ontologies. Distributed reasoning architecture for the semantic web. Semantic web services architectures for sensor networks. Pdf in this paper, we present a threelayer flexible architecture which intends to help developers and end users to take. To utilize these huge data include sensor data, semantic sensor web service platform is needed. Semantic web based architecture for managing hardware heterogeneity 41 in ramos, et al. The semantic tier provides a nice, friendly business view of the data and ensures governance and reusability. Semantic technologies have been used in the recent years as one of the key solutions to provide formalized representations of the real world data sensor data. The central concepts within ogcs sensor web architecture are sensors, observations and features of interest.
While the ontology layer of the semantic web is quite developed, and the web ontology language owl is. Its goal is to develop an ontologybased storage mechanism for sensor observations that will let the end user of the system to post semantic queries. The basic ssn architecture is depicted in figure 1. A distributed middleware based on semantic web service for. Semantic web technology enables the description of any information using mere logical terms. It provides a semantic framework to define networked devices and systems with sensor capabilities. Distributed social networks, social semantic web, architecture, evaluation, webid, semantic pingback 1. International workshop on semantic sensor networks and terra cognita5. Advances in electronics nowadays facilitate the design of smart spaces based on physical mashups of sensor and actuator devices. A system for publishing sensor data on the semantic web. Rules and ontologies play a key role in the layered architecture of the semantic web, as they are used to ascribe meaning to, and to reason about, data on the web. A distributed architecture of sensing web for sharing open.
The architecture provides an inquirybased elearning system that. The data layer retrieves and stores data from the sink of wmsn. Rdf, owl, xmlschema, xmlquery and functions and operators. This chapter presents a semantic web services platform ready to integrate intelligent processing capabilities according to open systems architecture for condition based maintenance osacbm architecture. Software requirements specification for semanticsbased publishsubscribe system page 3 figure 1. Semantic web metadata for elearning some architectural. We demonstrate the use of our semantic sensor web architecture in the.
Semantic filtering of iot data using symbolic aggregate. A signi cant aspect of the semantic sensor web architecture is employing a uni ed data model which provides universal interoperability and semantic description for sensor data. Semantics is nothing but a meaningful inference made from a stream of raw data. Nowadays, sensors are connected between them using the internet and the web, where sensing data is transferred. These concerns are re ected by an architecture of the semantic web that we present through a common use case. The ssns architecture is structured according to the stimulussensorobservation. Novel system architectures for semanticbased integration of. Semantic architecture ontology middleware internet of things. The capabilities of varied sensor networks will be encapsulated within web services and be. The mathematical semantic web world wide web consortium.
In this paper we provide an account of the key standard tech. Four versions of semantic web architecture were proposed. Finally, the database content can be accessed by different web services, sparql clients or browsed using a html interface. In this paper, a dmbsws distributed middleware based on semantic web service for sensor web is proposed. In the last few years, these best practices have been applied by a number of data providers, thus significantly increasing the amount of linked data published, creating as. The ssn ontology of the w3c semantic sensor network incubator. A distributed framework for semantic web services automatic. Special issue on semantic technologies and linked data. Sensors free fulltext a semantic sensor web for environmental. May 31, 2016 the w3c semantic sensor network incubator group ssn addressed these issues by developing an ontology that spans over multiple ogc standards and other specifications to support the semantic lifting of observations together with data about the sensors and their capabilities, deployment information, and so forth.
A number of projects have used it for improved management of sensor data on the web, involving annotation, integration, publishing, and search. Three initiatives, in particular, tackle this issue from different perspectives. College of computer nanjing university of posts and telecommunications, nanjing, china. Contrarily, the es3n architecture 12 applies semantic web technologies on top of a sensor network. One of the main features of this framework is the use of ontologies. In 2008 a framework named semantic sensor web 8 was propos ed. In this paper we propose a semantic based sensor networks architecture that enables. Distributed reasoning architecture for the semantic web luciano sera.
Introduction online social networking has become one of the most popular services on the web. It provides new possibilities for automatic web information processing. Social web, semantic sensor webwot and semantics enabled services and. Semantic sensor networks ceur workshop proceedings. Ierc book internet of things from research and innovation to market. Semantic web meets internet of things iot and web of. Fuzzy semantic web architecture for activity detection in. Building interoperable and crossdomain semantic web of. The paper addresses the problem of reasoning with multiple ontologies interrelated with semantic. Semantic web technologies with sensor networks dates back to 2005 and was called semantic sensor nets 7. Special issue on semantic technologies and linked data over. Modeldriven methodology for rapid deployment of smart. The architecture exposes a semantic sensor service through a web service interface with applying declarative semantics.
Sensor nodes that are colocated but belong to different sensor networks may not be able to collaborate properly to gain the capacity or performance. Semantic web services for distributed intelligence. This is accomplished through the use of an rdf repository containing daily records of all sensor. The stimulussensorobservation ontology design pattern. The web services technology is now widely used in support of interoperability between distributed. A novel architecture for information retrieval system based.
An extensible, ontologybased, distributed information. Figure 1 shows an abstract architecture of the intended product. 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. Semantic challenges for sensor plug and play springerlink. Sensing web is a conceptual framework to shares sensors openly in widearea network by maintaining privacy. The stimulussensorobservation ontology design pattern and. A research work related to ogcs approach is the semantic sensor network ssn ontology. A sensor web architecture for integrating smart oceanographic sensors into the semantic sensor web abstract.
Architecture of a distributed semantic social network without protocol layer. While the ontology layer of the semantic web is quite developed, and the web ontology language owl is a w3c recommendation since a. Ontology alignment architecture for semantic sensor web. One of the key challenges of using ontologies in sensor networks is to provide mechanisms to integrate and exchange knowledge from heterogeneous sources that is, dealing with semantic heterogeneity. Semantic sensor web uses and defines ontologies to support interoperability over het. Distributed semantic sensor web architecture abstract. Pdf ontology alignment architecture for semantic sensor web. One of the main features of this framework is the use of. In 2008 a framework named semantic sensor web 8 was proposed. This architecture deals with issues regarding data aggregation, data. At the top of the architecture, there is a semantic web layer that includes a semantic web application server, a fuzzy reasoning engine, and a semantic knowledge base. Sensor network physical layer consists of heterogeneous sensor nodes placed at distributed locations.
Design of a semantic and holistic architecture for sensor data integration 15 introduction during last few decades, we have witnessed the rise of sensors and applications based on them has become an integral part of our lives. As particularization of the semantic technologies born the term linked data, which refers to a set of best practices for publishing and connecting structured data on the web. Design of a semantic and holistic architecture for sensor. A robust architecture for distributed inference in sensor. In this paper we introduce the idea of a knowledge driven sensor web and describe a semantic infrastructure that supports both the specification and integration of. The pattern, in turn, is aligned to dolce ultra light dul2 as a foundational ontology.
Sensors and their observations can be registered and stored through the sensor observation service sos to make them accessible for clients. In this paper, we propose an architecture named sw. A semanticbased architecture for sensor data fusion. A semantic infrastructure for a knowledge driven sensor web. Semantic middleware architectures for iot healthcare applications. In semantic sensor networks workshop, a workshop of the 5th international semantic web conference iswc 2006, november 59, athens, georgia, usa 2006 6. The paper addresses the problem of reasoning with multiple.
Sciforum preprints scilit sciprofiles mdpi books encyclopedia mdpi blog. A main problem of semantic web information retrieval is that when these is not enough knowledge to such information retrieval system, the system will return to a large of no sense. In this paper, we propose an architecture named swagent to realize the idea of sensing web. A distributed middleware based on semantic web service for sensor web. Germane to the structure of the semantic web is a layering and standardization of concerns. The semantic sensor network ssn ontology enables expressive representation of sensor observations, sampling, and actuation. The linking of elements from semantic web technologies with sensor networks dates back to 2005 and was called semantic sensor nets. With rapid development of sensor networks technology, it becomes feasible to deploy multiple sensor networks in relevant area to collect interested information. Pdf a semanticbased architecture for sensor data fusion. Ontologybased description of a service oriented sensor network is discussed in 8. Novel system architectures for semanticbased integration.
Semantic web data for the use case is now found on the web and is part of a quickly growing set of semantic web. In this paper we present an ontologybased framework extensible distributed architecture or xda that addresses many of the problems associated with the construction of complex distributed information systems. 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. Past ocean and coastal data management systems were often very specific to a particular application and region, but this focused approach often. A semanticaware data cube scheme for cloud data center networks, ieee transactions on computers tc, vol. The ssn ontology is encoded in the web ontology language owl2. The ssn ontology is the result of the work performed by the w3c semantic sensor network incubator group ssnxg. Semantic web technology is of fundamental interest to researchers in a. The linking of elements from semantic web technologies with sensor networks dates back to 2005 and was called semantic sensor nets 7. The semantic sensor network will utilise semantic web technologies and reasoning mechanisms to interpret sensor data from physical devices that perform observations and measurements. The ssn ontology of the w3c semantic sensor network.
A novel architecture for information retrieval system. In this paper we propose a semanticbased sensor networks architecture. This paper describes a core ontological model for semantic sensor web infrastructures that covers these characteristics and that has been built with a focus on reusabil ity. With semantic web technology, web information can be understood and processed by machine. In this paper, we introduce the vision behind the semantic web in section 2, we illustrate with an example how the interaction with personal, intelligent, semantic web agents will be in the future in section 3, we describe the semantic web architecture in section 4 and we overview the current semantic web technologies that will carry out the. Ios press dogont as a viable seed for semantic modeling of. However, these standards are not yet integrated and aligned with paradigms such as linked data and w3c semantic web technologies more generally, that are believed to be a key driver for creating and maintaining a global and densely interconnected. Ogcs sensor web enablement standards provide a means to annotate sensors and their observations. Part of the lecture notes in computer science book series lncs, volume 169. Semantic to semantic interpretation is the key to communication and generally, an interpretation semantic is required to hook things together. Hence, the architecture allows every pod to know what is going on with every other pod. A distributed framework for semantic web services automatic discovery and composition based on matching of owls.
The research is motivated by the observation that query processing in sensor networks is very specific due to the constraints of sensor devices, the variable sampling rates of sensor data, and the mobility of sensors. Thus, the hidden and semantic units interact in processing a given orthographic input. The concept of the sensor web is a type of sensor network that is especially well suited for. A scalable distributed architecture towards unifying iot applications sarkar et al. Leverage precomputation based data cube to support online cloud services use semanticaware partial materialization to reduce the operation and space overheads. Arrows represent full connectivity between or within groups of units. Recently, data on the web has been increased by interactive service, social media and the pervasive computing technology. A core ontological model for semantic sensor web infrastructures. Effective ocean and coastal data management are needed to manage marine ecosystem health.
The initial w3c semantic sensor network incubator group ontology ssn was built around an ontology design pattern called the stimulus sensor observation sso pattern ssopattern. Semantic services, interoperability and web applications. An architecture of a distributed semantic social network. A serviceoriented multiagent systems architecture for the sensor web.
Holger neuhaus, michael compton, the semantic sensor network ontology. This is an open access article distributed under the creative commons attribution license. The sensor layer comprises a wmsn comprising sensor nodes with multimedia and scalar sensors. Modeldriven methodology for rapid deployment of smart spaces. The second contribution is an example of the use of the ontology x8. The overall goals of the semantic architecture are to define a formal semantic way of. Pdf data management in sensor networks using semantic web.
In this paper we describe a semantic sensor web architecture for integrating. Applying semantic web services and wireless 4 lee feigenbaum, p. Semantic sensor network an overview sciencedirect topics. Ios press dogont as a viable seed for semantic modeling of aecfm.
The semantic web was introduced by tim bernerslee who invented the traditional world wide web 2, 4. Architecture for raw data processing at sensor nodes in. Distributed sensing for collective action, kevin a. This ontological model is composed of different modules that deal, on the one hand, with infrastructure. A generic language to describe sensor assets semantic interoperability the ability of communicating entities to share unambiguous meaning wikipedia syntactic interoperability provided by the ogc standards is a prerequisite to semantic interoperability. Semantic gateway as a service architecture for iot. The semantic data also supports construction of content and contextaware sensor network applications. Using semantic web technology, one may describe near to anything.