Streamlining geospatial metadata in the Semantic Web

9th Symposium of the International Society for Digital Earth

地球科学;计算机科学

Fugazza, Cristiano^1 ; Pepe, Monica^1 ; Oggioni, Alessandro^1 ; Tagliolato, Paolo^1,2,3 ; Carrara, Paola^1

Institute for Electromagnetic Sensing of the Environment, National Research Council (IREA-CNR), via Corti 12, Milan

20133, Italy^1

Institute of Marine Science, National Research Council (ISMAR-CNR), Tesa 104 Arsenale, Castello 2737/F, Venice

30122, Italy^2

LifeWatch Italy, Italy^3

关键词: Back translations;    Free and open source softwares;    Geospatial metadata;    Linked open data (LOD);    Metadata management;    Scientific literature;    Spatial data infrastructure;    XML applications;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/34/1/012009/pdf
DOI  :  10.1088/1755-1315/34/1/012009

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

In the geospatial realm, data annotation and discovery rely on a number of ad-hoc formats and protocols. These have been created to enable domain-specific use cases generalized search is not feasible for. Metadata are at the heart of the discovery process and nevertheless they are often neglected or encoded in formats that either are not aimed at efficient retrieval of resources or are plainly outdated. Particularly, the quantum leap represented by the Linked Open Data (LOD) movement did not induce so far a consistent, interlinked baseline in the geospatial domain. In a nutshell, datasets, scientific literature related to them, and ultimately the researchers behind these products are only loosely connected; the corresponding metadata intelligible only to humans, duplicated on different systems, seldom consistently. Instead, our workflow for metadata management envisages i) editing via customizable web- based forms, ii) encoding of records in any XML application profile, iii) translation into RDF (involving the semantic lift of metadata records), and finally iv) storage of the metadata as RDF and back-translation into the original XML format with added semantics-aware features. Phase iii) hinges on relating resource metadata to RDF data structures that represent keywords from code lists and controlled vocabularies, toponyms, researchers, institutes, and virtually any description one can retrieve (or directly publish) in the LOD Cloud. In the context of a distributed Spatial Data Infrastructure (SDI) built on free and open-source software, we detail phases iii) and iv) of our workflow for the semantics-aware management of geospatial metadata.