Next Article in Journal
An Improved Global Analysis of Population Distribution in Proximity to Active Volcanoes, 1975–2015
Previous Article in Journal / Special Issue
Remote Diagnosis of Architectural Heritage Based on 5W1H Model-Based Metadata in Virtual Reality
Article Menu

Export Article

Open AccessArticle

Semantic Profiles for Easing SensorML Description: Review and Proposal

Institute for Electromagnetic Sensing of the Environment, National Research Council (IREA-CNR), v. Bassini 15, 20133 Milan, Italy
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(8), 340; https://doi.org/10.3390/ijgi8080340
Received: 15 May 2019 / Revised: 5 July 2019 / Accepted: 25 July 2019 / Published: 31 July 2019
(This article belongs to the Special Issue Geospatial Metadata)
  |  
PDF [1629 KB, uploaded 6 August 2019]
  |  

Abstract

The adoption of Sensor Web Enablement (SWE) practices by sensor maintainers is hampered by the inherent complexity of the Sensor Model Language (SensorML), its high expressiveness, and the scarce availability of editing tools. To overcome these issues, the Earth Observation (EO) community often recurs to SensorML profiles narrowing the range of admitted metadata structures and value ranges. Unfortunately, profiles frequently fall short of providing usable editing tools and comprehensive validation criteria, particularly for the difficulty of checking value ranges in the multi-tenanted domain of the Web of Data. In this paper, we provide an updated review of current practices, techniques, and tools for editing SensorML in the perspective of profile support and introduce our solution for effective profile definition. Beside allowing for formalization of a broad range of constraints that concur in defining a metadata profile, our proposal closes the gap between profile definition and actual editing of the corresponding metadata by allowing for ex-ante validation of the metadata that is produced. On this basis, we suggest the notion of Semantic Web SensorML profiles, characterized by a new family of constraints involving Semantic Web sources. We also discuss implementation of SensorML profiles with our tool and pinpoint the benefits with respect to the existing ex-post validation facilities provided by schema definition languages. View Full-Text
Keywords: sensors; SensorML; profiles; editor; semantics sensors; SensorML; profiles; editor; semantics
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Paolo, T.; Cristiano, F.; Alessandro, O.; Paola, C. Semantic Profiles for Easing SensorML Description: Review and Proposal. ISPRS Int. J. Geo-Inf. 2019, 8, 340.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top