Abstract
Abstract The paper reports on activities carried within the Agrisemantics Working Group of the Research Data Alliance (RDA). The group investigated on what are the current problems research and practitioners experience in their work with semantic resources for agricultural data, and elaborated the list of requirements that are the object of this paper. The main findings include the need to broaden the usability of tools so as to make them useful and available to the variety of profiles usually involved in working with semantics resources; the need to online platform to lift users from the burden of local installation; and the need for services that can be integrated in workflows. We further analyze requirements concerning the tools and services and provide details about the process followed to gather evidence from the community.
Highlights
Increasing attention is being devoted to the use of semantics to achieve data interoperability [1], [2]
In this paper we report on one activity of the group, aim at finding out what the main issues and bottlenecks the community experience when working with semantic resources, and what are the requirements to overcome them
We report on our second activity, aimed at surveying the real-life problems and bottlenecks that researchers and practitioners encounter when using semantic resources, together with their wishes and/or proposed solutions
Summary
Increasing attention is being devoted to the use of semantics to achieve data interoperability [1], [2]. The goal of the Agrisemantics Working Group (WG) within the Research Data Alliance (RDA) is to gather researchers and practitioners interested in the use of semantics in conjunction with agricultural data. In this paper we report on one activity of the group, aim at finding out what the main issues and bottlenecks the community experience when working with semantic resources, and what are the requirements to overcome them. Controlled vocabularies, value lists, classification systems, glossaries, thesauri, and ontologies are all example of semantic structures. They may be expressed in a variety of formats, open or proprietary, machinereadable or not. The step will be to distill our findings into a set of recommendations for e-infrastructures that aim at supporting researchers and practitioners in their work with agricultural data. We were interested in identifying needs concerning: (a) access to useful semantic resources, (b) reusability of semantic resources either by human or machines, (c) tools and services to create, manage, improve, interlink, publish semantic resources, (d) use of semantic resources or services in applications and (e) standards and best practices to represent and exchange semantic resources
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