Towards Semantic Sensor Data: An Ontology Approach

Sensors
Jin LiuJin Wang

Abstract

In order to optimize intelligent applications driven by various sensors, it is vital to properly interpret and reuse sensor data from different domains. The construction of semantic maps which illustrate the relationship between heterogeneous domain ontologies plays an important role in knowledge reuse. However, most mapping methods in the literature use the literal meaning of each concept and instance in the ontology to obtain semantic similarity. This is especially the case for domain ontologies which are built for applications with sensor data. At the instance level, there is seldom work to utilize data of the sensor instances when constructing the ontologies' mapping relationship. To alleviate this problem, in this paper, we propose a novel mechanism to achieve the association between sensor data and domain ontology. In our approach, we first classify the sensor data by making them as SSN (Semantic Sensor Network) ontology instances, and map the corresponding instances to the concepts in the domain ontology. Secondly, a multi-strategy similarity calculation method is used to evaluate the similarity of the concept pairs between the domain ontologies at multiple levels. Finally, the set of concept pairs with a high similarity...Continue Reading

References

Sep 21, 2013·Sensors·Susel FernandezBernardo Alarcos
Dec 11, 2014·Sensors·Lorena Otero-CerdeiraAlma Gómez-Rodríguez
May 7, 2016·Bioinformatics·Maciej J SwatSarala Wimalaratne

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Software Mentioned

FIESTA
RODI
HowNet
ASMOV
LOV4IoT
Falcon
Inter
OntoDNA
Rimom
IoT

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