- European Research Project
- May 1, 2017 - April 30, 2019
Linked Open Data (LOD) has evolved from being a far-fetched futuristic vision of an interlinked web of concepts to
actual datasets being shared and exposed in a number of key domains. The LOD evolution has been boosted by
realistic technologies based on machine-readable structure, such as the Resource Description Framework (RDF),
one of the cornerstones of the Semantic Technologies stack.
The Cross Harmonization & Exploitation of NATURE DataSets (Cross-Nature) project implies bringing this evolution
one step further. Cross-Nature aims at creating a smart LOD-oriented RDF-based endpoint for nature datasets. This
endpoint will enable intelligent querying and sharing knowledge from nature datasets of key importance, namely, an
Invasive Exotic Species Dataset and a Protected Species Tracking Dataset. These two datasets represent a
fundamental progress in cross-border information sharing in Europe, preventing and protecting nature assets.
The Cross-Nature main innovative aspects are threefold. Firstly, building a Data Management Plan for LOD, critical
for assessing the economic and social impact of this information exchange. Secondly, considering open platforms
such as FIWARE and their “connectors” architecture for improving intelligent services in LOD. Finally, integrating
LOD providers, such as startups or other service providers that could leverage the ecosystem.
The major expected technical outcomes in Cross-Nature are: i) LOD Endpoint for querying the aforementioned
Nature Datasets ii) Data Management Plan and Platform for Semantic Interoperability and iii) Seamlessly integration
for other LOD providers in this particular domain.
The consortium counts with partners from 2 countries with relevant experience and results in the most significant
disciplines of Cross-Nature.