paper27.pdf (338.57 kB)
Design of a Framework to Support Reuse of Open Data about Agriculture
journal contributionposted on 2018-12-05, 13:08 authored by Alec Gordon, Mohammad Sadnan Al Manir, Brandon Smith, Amir Rezaie, Christopher J. O. Baker
Online Datasets in Open Data Portals typically have minimal metadata and users wishing to consider their reuse in extended analyses are poorly served. One approach is to find and re-annotate the metadata according to subject-specific, community adopted vocabularies. In support of this we explore a multi-tiered framework combining the capabilities of a crawler, a tagger and a recommendation engine, as well as tools for the provisioning of data as discoverable services. We provide details of prototype scale implementations of these components and a cursory evaluation of the tagger for subject-specific metadata enrichment using the Global Agricultural Concept Scheme (GACS).
Open dataopen agricultural datametadata enrichmentlinked datametadata reusesemantic web servicestaggingscoringrecommender systermGACSontologywidgetAquacultureData FormatGlobal Information SystemsInformation Retrieval and Web SearchInterorganisational Information Systems and Web ServicesWeb Technologies (excl. Web Search)