Semantic Profiles for Easing SensorML Description: Review and Proposal
AbstractThe 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
Share & Cite This Article
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.
Paolo T, Cristiano F, Alessandro O, Paola C. Semantic Profiles for Easing SensorML Description: Review and Proposal. ISPRS International Journal of Geo-Information. 2019; 8(8):340.Chicago/Turabian Style
Paolo, Tagliolato; Cristiano, Fugazza; Alessandro, Oggioni; Paola, Carrara. 2019. "Semantic Profiles for Easing SensorML Description: Review and Proposal." ISPRS Int. J. Geo-Inf. 8, no. 8: 340.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.