A general Sensor Web Resource Ontology for atmospheric observation

Wang, Chao; Hu, Chuli; Yan, Songhua; Wang, Wei

doi:10.1109/igarss.2011.6049959

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…For example, enterprise resource ontology was discussed by the TOVE project at the Enterprise Integration Laboratory at the University of Toronto (Fadel et al, 1994). Information resources on the internet have also received significant attention (Zhu et al, 2010;Wang, Chen, Hu, Yan and Wang, 2011). Rohloff and Loyall (2011) proposed a resource sharing ontology, which is designed to cover cyber, physical and cyber-physical systems.…”

Section: Related Workmentioning

confidence: 99%

Constructing an information science resource ontology based on the Chinese Social Science Citation Index

Qiu

Wen

2014

Aslib Journal of Information Management

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Purpose -The purpose of this study is to construct a Chinese information science resource ontology and to explore a new method for semiautomatic ontology construction. Design/methodology/approach -More than 8,290 articles indexed in the Chinese Social Science Citation Index (CSSCI), covering the years 2001 to 2010, were included in this study. Statistical analysis, co-occurrence analysis, and semantic similarity methods were applied to the selected articles. The ontology was built using existing construction principles and methods, as well as categories and hierarchy definitions based on CSSCI indexing fields. Findings -Seven categories were found to be relevant for the Chinese information science resource ontology, which, in this study, consists of a three-tier architecture, 78,291 instances, and 182,109 pairs of semantic relations. These results indicate the following: further improvements are required in ontology construction methods; resource ontology is a breakthrough concept in ontology studies; the combination of semantic similarities and co-occurrence analysis can quantitatively describe relationships between concepts. Originality/value -This study pioneers the resource ontology concept. It is one of the first to combine informetric methods with semantic similarity to reveal deep relationships in textual data.

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Section: Related Workmentioning

confidence: 99%

Constructing an information science resource ontology based on the Chinese Social Science Citation Index

Qiu

Wen

2014

Aslib Journal of Information Management

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“…The Open Geospatial Consortium (OGC) has developed the Sensor Web Enablement (SWE) framework [8] consisting of XML based standards like Observation and Measurements (O&M) schema, SensorML to describe sensor systems and TransducerML to describe transducers and support realtime streaming of information. Such standards are indispensable for building ontologies and specifications like Sensor Web Resources Ontology for Atmospheric Observation (SWRO-AO) [9] or Semantic Sensor Observation Service (SemSOS) [10]. For data interchange, JavaScript Object Notation (JSON) and XML are the two popular formats.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Knowledge Archive

Sarangi

Kar

2013

2013 IEEE International Conference on Electronics, Computing and Communication Technologies

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Wisekar -the WIreless SEnsor Knowledge ARchive is presented. It is a centralized web repository for collection, management and distribution of events from sensor-enabled devices towards realization of the Internet of Things (IOT). Wisekar offers flexible multimodal event contribution methods adapted to a variety of user skill and requirement levels. Along with rich visualization capabilities, it is versatile in terms of its ability to extend and decorate events with XML based metadata and images. This allows enforcement of rigorous standardscompliant formats like the Open Geospatial Consortium (OGC) defined SensorML and TransducerML.

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“…The SemSorGrid4Env [ 43 ] project applies the SSN ontology to environmental monitoring systems. SWROAO ontology [ 44 ] serves as a knowledge repository of sensor web resources for the research and applications community in atmospheric science by describing the platforms, sensors and observations from aircraft, spacecraft and ground application perspectives. SCO ontology [ 45 ] represents new and major progress for the SSN ontology extensions, adding component, service and context modules.…”

Section: Introductionmentioning

confidence: 99%

An Observation Capability Semantic-Associated Approach to the Selection of Remote Sensing Satellite Sensors: A Case Study of Flood Observations in the Jinsha River Basin

Lin

et al. 2018

Sensors

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Observation schedules depend upon the accurate understanding of a single sensor’s observation capability and the interrelated observation capability information on multiple sensors. The general ontologies for sensors and observations are abundant. However, few observation capability ontologies for satellite sensors are available, and no study has described the dynamic associations among the observation capabilities of multiple sensors used for integrated observational planning. This limitation results in a failure to realize effective sensor selection. This paper develops a sensor observation capability association (SOCA) ontology model that is resolved around the task-sensor-observation capability (TSOC) ontology pattern. The pattern is developed considering the stimulus-sensor-observation (SSO) ontology design pattern, which focuses on facilitating sensor selection for one observation task. The core aim of the SOCA ontology model is to achieve an observation capability semantic association. A prototype system called SemOCAssociation was developed, and an experiment was conducted for flood observations in the Jinsha River basin in China. The results of this experiment verified that the SOCA ontology based association method can help sensor planners intuitively and accurately make evidence-based sensor selection decisions for a given flood observation task, which facilitates efficient and effective observational planning for flood satellite sensors.

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A general Sensor Web Resource Ontology for atmospheric observation

Cited by 9 publications

References 9 publications

Constructing an information science resource ontology based on the Chinese Social Science Citation Index

Constructing an information science resource ontology based on the Chinese Social Science Citation Index

Wireless Sensor Knowledge Archive

An Observation Capability Semantic-Associated Approach to the Selection of Remote Sensing Satellite Sensors: A Case Study of Flood Observations in the Jinsha River Basin

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