The Experts below are selected from a list of 2322 Experts worldwide ranked by ideXlab platform
Prashant Goswami - One of the best experts on this subject based on the ideXlab platform.
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Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology
Sensors, 2019Co-Authors: Cong Peng, Prashant GoswamiAbstract:The development of electronic health records, wearable devices, health applications and Internet of Things (IoT)-empowered smart homes is promoting various applications. It also makes health self-management much more feasible, which can partially mitigate one of the challenges that the current healthcare system is facing. Effective and convenient self-management of health requires the collaborative use of health data and home environment data from different services, devices, and even open data on the Web. Although health data interoperability standards including HL7 Fast Healthcare Interoperability Resources (FHIR) and IoT ontology including Semantic Sensor Network (SSN) have been developed and promoted, it is impossible for all the different categories of services to adopt the same standard in the near future. This study presents a method that applies Semantic Web technologies to integrate the health data and home environment data from heterogeneously built services and devices. We propose a Web Ontology Language (OWL)-based integration ontology that models health data from HL7 FHIR standard implemented services, normal Web services and Web of Things (WoT) services and Linked Data together with home environment data from formal ontology-described WoT services. It works on the resource integration layer of the layered integration architecture. An example use case with a prototype implementation shows that the proposed method successfully integrates the health data and home environment data into a resource graph. The integrated data are annotated with Semantics and ontological links, which make them machine-understandable and cross-system reusable.
Lefrançois Maxime - One of the best experts on this subject based on the ideXlab platform.
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The Semantic Sensor Network Ontology, Revamped
HAL CCSD, 2019Co-Authors: Taylor Kerry, Lefrançois Maxime, Haller Armin, Cox Simon, Janowicz Krzysztof, García-castro Raúl, Le Phuoc Danh, Lieberman Joshua, Atkinson Robert, Stadler ClausAbstract:International audienceThe Semantic Sensor Network Ontology, popularly knownasSSN, was developed by an Incubator Group of the World Wide WebConsortium (W3C) over 2009 to 2011. Subsequently, the W3C and theOpen Geospatial Consortium (OGC) joined forces to update the SSNas informed by experience, to harmonize it with OGC’s O&M, and topublish a new version to be endorsed as both a W3C Recommendationand an OGC standard in late 2017. The major contribution of the newSSN is a modular structure designed to be more convenient for ontologyengineers and data custodians. It also slightly extends the coverage ofthe previous SSN with new terms for sampling and actuation. SSN re-tains the ability to comprehensively represent:Sensorsin terms of whatthey can sense, and what and how they do sense;observationsin termsof what they measure and what values they find;systems(or Networks)of Sensors in terms of Sensor components and how they are deployed;andreal-world objects(calledfeatures of interest, OGC-style) in terms oftheir physical properties, what can sense them, and what observations ofthem have been made. A few little-used SSN terms have been deprecated,and several others have been renamed. For a comprehensive descriptionof new SSN the reader is referred to the specification [10]. A full descrip-tion of the scope, design rationale and additions, with examples of itsapplication are presented in [11]
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The Modular SSN Ontology: A Joint W3C and OGC Standard Specifying the Semantics of Sensors, Observations, Sampling, and Actuation
'IOS Press', 2019Co-Authors: Haller Armin, Lefrançois Maxime, Danh Le Phuoc, Taylor Kerry, Janowicz Krzysztof, García-castro Raúl, Lieberman Joshua, Cox, Simon Jonathan, Atkinson Rob, Stadler ClausAbstract: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. The ontologies have been published both as a W3C recommendation and as an OGC implementation standard. The set includes a lightweight core module called SOSA (Sensor, Observation, Sampler, and Actuator) available at: http://www.w3.org/ns/sosa/, and a more expressive extension module called SSN (Semantic Sensor Network) available at: http://www.w3.org/ns/ssn/. Together they describe systems of Sensors and actuators, observations, the used procedures, the subjects and their properties being observed or acted upon, samples and the process of sampling, and so forth. The set of ontologies adopts a modular architecture with SOSA as a self-contained core that is extended by SSN and other modules to add expressivity and breadth. The SOSA/SSN ontologies are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Internet of Things. In this paper we give an overview of the ontologies and discuss the rationale behind key design decisions, reporting on the differences between the new SSN ontology presented here and its predecessor [Web Semantics: Science, Services and Agents on the World Wide Web 17 (2012), 25–32] developed by the W3C Semantic Sensor Network Incubator group (the SSN-XG). We present usage examples and describe alignment modules that foster interoperability with other ontologies.The authors acknowledge partial support from NSF (award number 1540849) and CSIRO (Oznome project
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SOSA: A lightweight ontology for Sensors, observations, samples, and actuators
'Elsevier BV', 2019Co-Authors: Janowicz Krzysztof, Haller Armin, Le Phuoc Danh, Cox, Simon J.d., Lefrançois MaximeAbstract:International audienceThe Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal but lightweight general-purpose specification for modellingthe interaction between the entities involved in the acts of observation, actuation, and sampling. SOSA is the result of rethinking the W3C-XG Semantic Sensor Network (SSN) ontology based on changes in scope and target audience, technical developments, and lessons learned over the past years. SOSA also acts as a replacement of SSN’s Stimulus Sensor Observation (SSO) core. It has been developed by the first joint working group of the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) on Spatial Data on the Web. In this work, we motivate the need for SOSA, provide an overview of the main classes and properties, and briefly discuss its integration with the new release of the SSN ontology as well as various other alignments to specifications such as OGC’s Observations and Measurements (O&M), Dolce-Ultralite (DUL), and other prominent ontologies. We will also touch upon common modelling problems and application areas related to publishing and searching observation, sampling, and actuation data on the Web. The SOSA ontology and standard can be accessed at https://www.w3.org/TR/vocab-ssn/
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SOSA: A lightweight ontology for Sensors, observations, samples, and actuators
'Elsevier BV', 2019Co-Authors: Janowicz Krzysztof, Haller Armin, Danh Le Phuoc, Cox, Simon Jonathan, Lefrançois MaximeAbstract:The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal but lightweight general-purpose specification for modellingthe interaction between the entities involved in the acts of observation, actuation, and sampling. SOSA is the result of rethinking the W3C-XG Semantic Sensor Network (SSN) ontology based on changes in scope and target audience, technical developments, and lessons learned over the past years. SOSA also acts as a replacement of SSN’s Stimulus Sensor Observation (SSO) core. It has been developed by the first joint working group of the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) on Spatial Data on the Web. In this work, we motivate the need for SOSA, provide an overview of the main classes and properties, and briefly discuss its integration with the new release of the SSN ontology as well as various other alignments to specifications such as OGC’s Observations and Measurements (O&M), Dolce-Ultralite (DUL), and other prominent ontologies. We will also touch upon common modelling problems and application areas related to publishing and searching observation, sampling, and actuation data on the Web. The SOSA ontology and standard can be accessed at https://www.w3.org/TR/vocab-ssn/.The authors acknowledge partial support from NSF (award number 1540849) and Marie Skodowska-Curie Programme H2020-MSCA-IF-2014 (SMARTER project, under Grant No. 661180)
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Choosing Your Ontologies for Sensor Data Applications
'IOS Press', 2018Co-Authors: Lefrançois MaximeAbstract:International audienceSemantics is increasingly seen as key enabler for integration of Sensor data and the broader Web ecosystem. Analytical and reasoning capabilities afforded by Semantic Web standards and technologies are considered important for developing advanced applications that go from capturing observations to recognition of events, deeper insights and actions. The goal of this tutorial is to cover the fundamentals and best practices of Semantic Web technologies in a concise way, and show how can they are to model ontologies for Intelligent Environments, including notions of ontology modelling and presenting two of the most relevant ontologies for Intelligent Environments: Keywords. Semantic Web, Ontology 1. Outline-The new W3C Semantic Sensor Network (SSN) ontology [1] jointly standardized by the W3C and the Open Geospatial Consortium enables to describe observations, samplings, and actuations activities, their result, the system that made it, the features of interest and its property that is observed or acted upon.-The ETSI Smart Appliances Reference (SAREF) ontology [2] focuses on the concept of device, which is defined in the context of the Smart Appliances study as "a tangible object designed to accomplish a particular task in households, common public buildings or offices. In order to accomplish this task, the device performs one or more functions". Extensions for different verticals are under development for the Energy-, Building-, Environment-, and Industry-domains.-The SEAS ontology [3] is a modular and versioned ontology with all the terms it define having the same namespace. It is built on top of SSN, and contains as a core four simple ontology patterns to describe physical systems and their connections, value association for their properties, and the activities by which such value association is done. These ontology patterns are then instantiated for different engineering-related verticals
Krzysztof Janowicz - One of the best experts on this subject based on the ideXlab platform.
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sosa a lightweight ontology for Sensors observations samples and actuators
Journal of Web Semantics, 2019Co-Authors: Krzysztof Janowicz, Armin Haller, Simon Cox, Danh Le Phuoc, Maxime LefrancoisAbstract:Abstract The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal but lightweight general-purpose specification for modellingthe interaction between the entities involved in the acts of observation, actuation, and sampling. SOSA is the result of rethinking the W3C-XG Semantic Sensor Network (SSN) ontology based on changes in scope and target audience, technical developments, and lessons learned over the past years. SOSA also acts as a replacement of SSN’s Stimulus Sensor Observation (SSO) core. It has been developed by the first joint working group of the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) on Spatial Data on the Web. In this work, we motivate the need for SOSA, provide an overview of the main classes and properties, and briefly discuss its integration with the new release of the SSN ontology as well as various other alignments to specifications such as OGC’s Observations and Measurements (O&M), Dolce-Ultralite (DUL), and other prominent ontologies. We will also touch upon common modelling problems and application areas related to publishing and searching observation, sampling, and actuation data on the Web. The SOSA ontology and standard can be accessed at https://www.w3.org/TR/vocab-ssn/ .
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sosa a lightweight ontology for Sensors observations samples and actuators
arXiv: Artificial Intelligence, 2018Co-Authors: Krzysztof Janowicz, Armin Haller, Simon Cox, Danh Le Phuoc, Maxime LefrancoisAbstract:The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal but lightweight general-purpose specification for modeling the interaction between the entities involved in the acts of observation, actuation, and sampling. SOSA is the result of rethinking the W3C-XG Semantic Sensor Network (SSN) ontology based on changes in scope and target audience, technical developments, and lessons learned over the past years. SOSA also acts as a replacement of SSN's Stimulus Sensor Observation (SSO) core. It has been developed by the first joint working group of the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) on \emph{Spatial Data on the Web}. In this work, we motivate the need for SOSA, provide an overview of the main classes and properties, and briefly discuss its integration with the new release of the SSN ontology as well as various other alignments to specifications such as OGC's Observations and Measurements (O\&M), Dolce-Ultralite (DUL), and other prominent ontologies. We will also touch upon common modeling problems and application areas related to publishing and searching observation, sampling, and actuation data on the Web. The SOSA ontology and standard can be accessed at \url{this https URL}.
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The stimulus-Sensor-observation ontology design pattern and its integration into the Semantic Sensor Network ontology
CEUR Workshop Proceedings, 2010Co-Authors: Krzysztof Janowicz, Michael ComptonAbstract:This paper presents an overview of ongoing work to develop a generic ontology design pattern for observation-based data on the Semantic Web. The core classes and relationships forming the pattern are discussed in detail and are aligned to the DOLCE foundational ontology to improve Semantic interoperability and clarify the underlying ontological commitments. The pattern also forms the top-level of the the Semantic Sensor Network ontology developed by the W3C Semantic Sensor Network Incubator Group. The integration of both ontologies is discussed and directions of further work are pointed out.
Michael Compton - One of the best experts on this subject based on the ideXlab platform.
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ontology paper the ssn ontology of the w3c Semantic Sensor Network incubator group
Journal of Web Semantics, 2012Co-Authors: Michael Compton, Simon Cox, Payam Barnaghi, Luis Bermudez, Raul Garciacastro, Oscar Corcho, John Graybeal, Manfred Hauswirth, Cory Henson, Arthur HerzogAbstract:The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL 2 ontology to describe Sensors and observations - the SSN ontology, available at http://purl.oclc.org/NET/ssnx/ssn. The SSN ontology can describe Sensors in terms of capabilities, measurement processes, observations and deployments. This article describes the SSN ontology. It further gives an example and describes the use of the ontology in recent research projects.
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The stimulus-Sensor-observation ontology design pattern and its integration into the Semantic Sensor Network ontology
CEUR Workshop Proceedings, 2010Co-Authors: Krzysztof Janowicz, Michael ComptonAbstract:This paper presents an overview of ongoing work to develop a generic ontology design pattern for observation-based data on the Semantic Web. The core classes and relationships forming the pattern are discussed in detail and are aligned to the DOLCE foundational ontology to improve Semantic interoperability and clarify the underlying ontological commitments. The pattern also forms the top-level of the the Semantic Sensor Network ontology developed by the W3C Semantic Sensor Network Incubator Group. The integration of both ontologies is discussed and directions of further work are pointed out.
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the Semantic Sensor Network ontology a generic language to describe Sensor assets
2009Co-Authors: Holger Neuhaus, Michael ComptonAbstract:We introduce a novel approach for describing Sensors and their capabilities. Although existing standards for describing Sensors and their capabilities as well as their measurements, produced by Open Geospatial Consortium’s Sensor Web Enablement activities (OGC SWE), achieve syntactic interoperability, they do not provide facilities for computer logic and reasoning. We argue that ontologies are an adequate methodology to model Sensors and their capabilities. Ontologies enable reasoning, classification and other types of automation to extend the SWE standards of the OGC. A Semantic Sensor Network would allow the Network and its components to be organised, queried, and controlled through high-level specifications. The ontology proposed here is not an ontology that organises all the facets and concepts of sensing, but rather one that provides a language to describe Sensors in terms of their capabilities and operations. This paper introduces an initial version.
Maxime Lefrancois - One of the best experts on this subject based on the ideXlab platform.
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sosa a lightweight ontology for Sensors observations samples and actuators
Journal of Web Semantics, 2019Co-Authors: Krzysztof Janowicz, Armin Haller, Simon Cox, Danh Le Phuoc, Maxime LefrancoisAbstract:Abstract The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal but lightweight general-purpose specification for modellingthe interaction between the entities involved in the acts of observation, actuation, and sampling. SOSA is the result of rethinking the W3C-XG Semantic Sensor Network (SSN) ontology based on changes in scope and target audience, technical developments, and lessons learned over the past years. SOSA also acts as a replacement of SSN’s Stimulus Sensor Observation (SSO) core. It has been developed by the first joint working group of the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) on Spatial Data on the Web. In this work, we motivate the need for SOSA, provide an overview of the main classes and properties, and briefly discuss its integration with the new release of the SSN ontology as well as various other alignments to specifications such as OGC’s Observations and Measurements (O&M), Dolce-Ultralite (DUL), and other prominent ontologies. We will also touch upon common modelling problems and application areas related to publishing and searching observation, sampling, and actuation data on the Web. The SOSA ontology and standard can be accessed at https://www.w3.org/TR/vocab-ssn/ .
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sosa a lightweight ontology for Sensors observations samples and actuators
arXiv: Artificial Intelligence, 2018Co-Authors: Krzysztof Janowicz, Armin Haller, Simon Cox, Danh Le Phuoc, Maxime LefrancoisAbstract:The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal but lightweight general-purpose specification for modeling the interaction between the entities involved in the acts of observation, actuation, and sampling. SOSA is the result of rethinking the W3C-XG Semantic Sensor Network (SSN) ontology based on changes in scope and target audience, technical developments, and lessons learned over the past years. SOSA also acts as a replacement of SSN's Stimulus Sensor Observation (SSO) core. It has been developed by the first joint working group of the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) on \emph{Spatial Data on the Web}. In this work, we motivate the need for SOSA, provide an overview of the main classes and properties, and briefly discuss its integration with the new release of the SSN ontology as well as various other alignments to specifications such as OGC's Observations and Measurements (O\&M), Dolce-Ultralite (DUL), and other prominent ontologies. We will also touch upon common modeling problems and application areas related to publishing and searching observation, sampling, and actuation data on the Web. The SOSA ontology and standard can be accessed at \url{this https URL}.