2019
DOI: 10.3390/ijgi8080340
|View full text |Cite
|
Sign up to set email alerts
|

Semantic Profiles for Easing SensorML Description: Review and Proposal

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, pa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 11 publications
(8 citation statements)
references
References 26 publications
(22 reference statements)
0
8
0
Order By: Relevance
“…Automatic mapping procedures/scripts to link the fields of the data table with the appropriate DwC terms are not available. Notably, in the analyzed case study, the use of OGC services ensures that data are already formatted in O&M. This OGC schema natively supports the same semantic annotation strategy suggested by OBIS in DwC eMoF, that is, using URIs of semantic vocabulary terms (Rosati et al, 2017;Tagliolato et al, 2019). Moreover, the terms exploited for the use case are from NVS, one of the OBIS eMoF recommended sources.…”
Section: Currents Xmentioning
confidence: 93%
“…Automatic mapping procedures/scripts to link the fields of the data table with the appropriate DwC terms are not available. Notably, in the analyzed case study, the use of OGC services ensures that data are already formatted in O&M. This OGC schema natively supports the same semantic annotation strategy suggested by OBIS in DwC eMoF, that is, using URIs of semantic vocabulary terms (Rosati et al, 2017;Tagliolato et al, 2019). Moreover, the terms exploited for the use case are from NVS, one of the OBIS eMoF recommended sources.…”
Section: Currents Xmentioning
confidence: 93%
“…Di et al (2009) present an in-depth discussion for sensor metadata. Such work was extended by Tagliolato et al (2019), who developed semantic profiles for SensorML descriptions. An in-depth discussion of Earth observation data is provided by Harris and Olby (2001).…”
Section: Methods and Related Workmentioning
confidence: 99%
“…The key approaches were (i) creation of a decentralized network of nodes providing data [180] and (ii) the extensive use of semanticsaware technologies in metadata management [181]. The latter entailed development of a metadata editor that could easily adapt to the ever-changing landscape of metadata formats and profiles [182].…”
Section: Holistic Map Representation With Geographic Scenariosmentioning
confidence: 99%