Sensor ontologies: from shallow to deep models

Russomanno, David J.; Kothari, Cartik R.; Thomas, O.

doi:10.1109/ssst.2005.1460887

Cited by 79 publications

(65 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compton et al [2] reviewed the typical sensor ontologies and analyzed their concept scope, expressive ability and reasoning ability. In 2009, the W3C working group [3] developed SSN ontology.…”

Section: The State Of the Art Of The Sensor Ontologymentioning

confidence: 99%

A Review of Studies on Semantic Sensor Web

Wang¹,

Zhang²,

Li³

2015

Advanced Science and Technology Letters

View full text Add to dashboard Cite

Abstract. As Sensor Network is used more and more widely in all fields, a large number of heterogeneous data is produced. In order to eliminate the heterogeneity and make these data shared and integrated semantically, semantic web technology is introduced in the sensor network. In this paper, we present a comprehensive review studies about Semantic Sensor Web (SSW) from the perspective of ontology, mapping and query respectively. Finally, the future research directions of SSW are proposed.

show abstract

Section: The State Of the Art Of The Sensor Ontologymentioning

confidence: 99%

A Review of Studies on Semantic Sensor Web

Wang¹,

Zhang²,

Li³

2015

Advanced Science and Technology Letters

View full text Add to dashboard Cite

show abstract

“…The application of semantic technology to the IoT domain will provide systems with the ability to better understand terms and concepts as data is transmitted from one system to another, while preserving the meaning of the content. There are many applications using semantic Web technologies in IoT research [3,4], however, current work has mostly focused on IoT resources management while not on how to access and utilise information generated in IoT. It is also necessary to consider that a semantic model or ontology is not enough to our data be interoperable.…”

Section: Relationship To Internet Of Thingsmentioning

confidence: 99%

Semantic Adaptation of Knowledge Representation Systems

Lucena

Sarraipa

Jardim‐Gonçalves

2013

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

Abstract. Due to the worldwide diversity of enterprises, a high number of ontologies representing the same segment of reality which are not semantically coincident have appeared. To solve this problem, a possible solution is to use a reference ontology to be the intermediary in the communications between the community enterprises and to outside. Since semantic mappings between enterprise's ontologies are established, this solution allows each of the enterprises to keep internally its own ontology and semantics unchanged. However information systems are not static, thus established mappings become obsolete with time. This paper's presents a PhD research with the objective to identify a suitable approach that combines semantic mappings with user's feedback, providing an automatic learning to ontologies & enabling autoadaptability and, consequently, dynamism to the information systems.

show abstract

“…Both the ability of SensorML XML encoding to support semantic extensions through references to external ontologies or through RDF annotations (see Figure V) and the partial modelling of SensorML concepts in standard ontologies may be harnessed to create a correspondance between low-level and high-level concepts (Niles and Pease, 2001;Russomanno et al, 2005) in order to improve the modularity of future agent-based solutions and thus ease their portability across heterogeneous deployments by creating a common repository of services and resources. Ongoing research in this area involves how best to leverage on SensorML across the whole AAL system, for example, using its modelling of computational constrained devices without deploying web services on each device.…”

Section: Xml-based Encoding Sensorml and Ontologiesmentioning

confidence: 99%