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The main goal of sustainable agriculture and rural development is to increase food production and food security in a sustainable way. The increasing demand for food and feed initiated cultivation of new or less cultivated plant species, especially in regions where the staple crops cultivation is difficult. The diverse requirements of agricultural producers, processing industries and consumers, in terms of cultivation, processing and the quality of primary raw materials and products, as well as the economic and ecological benefits of growing alternative crops, impose the need for inter- and multidisciplinary research and the use of twenty-first-century tools for the transfer and application of acquired knowledge. The paper aims to illustrate how agricultural practice and grower demands drive scientific research. Through an overview of knowledge creators and providers, organizations and associations, dedicated events and publications, the work maps new research paths for more advanced applications of these crops

This work presents the MarketPlace Agent and Expert Ontology (MAEO), an ontology for modeling experts, expertise, and more broadly, knowledge providers and knowledge seekers for the subject areas of Materials Modeling. MAEO had its inception within the "MarketPlace" European project, whose purpose is to bring about a single entry point for gathering scientific and industrial stakeholders in Materials Modeling. As such, this project aimed to build an online platform where experts and knowledge providers can be searched, found and brought into contact with users, or knowledge seekers, and with one another. MAEO was developed in order to fulfill the requirements of this online platform and thus support it, but is also part of a wider ecosystem of Materials Modeling-related ontologies, at whose core lies the Elementary Multiperspective Material Ontology (EMMO). MAEO is thus an EMMO-compliant application ontology, and has been loosely aligned with a number of existing ontologies, including Friend-Of-A-Friend (FOAF) and five recently-developed EMMO-based domain ontologies for the classification of materials, models, manufacturing processes, characterization methods and software products related to Materials Modeling. Here, a detailed description of the axiomatization of MAEO and its interconnected ontologies is provided, along with results coming from its deployment and experimentation in a StarDog triplestore.

The emergence of alternative uses of hemp in addition to the traditional ones, the revitalization of hemp cultivation and processing, and the positive economic effects thereof have imposed the need for multidisciplinary knowledge to be created, absorbed, acquired, and disseminated. This chapter is aimed at providing an overview of the knowledge development of industrial hemp through history, and an overview of knowledge creators and knowledge providers in modern times by referring to research and supporting projects, organizations and associations, dedicated events and publications. This chapter provides not only practical information to hemp professionals but also maps new research avenues for more advanced hemp applications.

Thiswork describes theMAEOontology, which models agents, experts, expertise and knowledge providers in general within the context of an online, open marketplace for materials modeling and related collaboration activities. Such a marketplace is meant as a one-stop shop for enabling and accelerating materials modeling in industry, and is currently under development within the Horizon 2020 "Market- Place" project. The MAEO ontology has been developed as the underlying basis for the online platform provided by the project, where users may look for experts with a certain expertise, and the latter may subscribe and be made visible and searchable by the users. As it stands, the MAEO ontology is part of a larger effort of ontological modeling for the Materials Modeling area having the EMMO (European Materials Modeling Ontology) as its root, and as such can be seen as an EMMO-based, application-level ontology. This work thus details the ontology's domain, purpose and structure, and underlines the connection with external ontologies, while also providing a brief description of its usage and technical implementation.