Yannis Tzitzikas, Carlo Allocca, Chryssoula Bekiari, Yannis Marketakis, Pavlos Fafalios, Martin Doerr, Nikos Minadakis, Theodore Patkos and Leonardo Candela
Marine species data are scattered across a series of heterogeneous repositories and information systems. There is no repository that can claim to have all marine species data…
Abstract
Purpose
Marine species data are scattered across a series of heterogeneous repositories and information systems. There is no repository that can claim to have all marine species data. Moreover, information on marine species are made available through different formats and protocols. The purpose of this paper is to provide models and methods that allow integrating such information either for publishing it, browsing it or querying it. Aiming at providing a valid and reliable knowledge ground for enabling semantic interoperability of marine species data, in this paper the authors motivate a top level ontology, called MarineTLO and discuss its use for creating MarineTLO-based warehouses.
Design/methodology/approach
In this paper the authors introduce a set of motivating scenarios that highlight the need of having a top level ontology. Afterwards the authors describe the main data sources (Fisheries Linked Open Data, ECOSCOPE, WoRMS, FishBase and DBpedia) that will be used as a basis for constructing the MarineTLO.
Findings
The paper discusses about the exploitation of MarineTLO for the construction of a warehouse. Furthermore a series of uses of the MarineTLO-based warehouse is being reported.
Originality/value
In this paper the authors described the design of a top level ontology for the marine domain able to satisfy the need for maintaining integrated sets of facts about marine species and thus assisting ongoing research on biodiversity. Apart from the ontology the authors also elaborated with the mappings that are required for building integrated warehouses.
Details
Keywords
The purpose of this study is to propose an unbiased generalized grey relational closeness evaluation model to improve the accuracy of regional agricultural drought vulnerability…
Abstract
Purpose
The purpose of this study is to propose an unbiased generalized grey relational closeness evaluation model to improve the accuracy of regional agricultural drought vulnerability decision-making results, as well as to provide theoretical support for reducing agricultural drought risk and losses.
Design/methodology/approach
The index weight is calculated using a rough set and deviation minimization criterion, and the relational degree between the research object and the double reference sequence is thoroughly investigated using the generalized grey relational closeness degree. Because different index rankings can correspond to different closeness degrees, the Monte Carlo method was used to calculate an unbiased estimate of the generalized grey relational closeness degree, which was used as a decision basis.
Findings
Agricultural drought vulnerability in Henan Province in 2019 was clearly spatially differentiated. The vulnerability to agricultural drought in the southern and eastern regions was generally higher than that in other regions. The evaluation results of this model are highly stable and reliable compared to those of the traditional generalized grey relational evaluation model.
Practical implications
This study proposes an evaluation model based on an unbiased generalized grey relational closeness degree, which is important to supplement the grey relational analysis method system and plays a positive role in promoting the quantitative evaluation of regional agricultural drought vulnerability.
Originality/value
The Monte Carlo method is used to calculate the unbiased estimation of the generalized grey relational closeness degree, which solves the problem of the replacement dependence of the traditional generalized grey relational degree and the one-sidedness of the evaluation results, and provides a new research idea for the evaluation of regional agricultural drought vulnerability under cross-sectional informatics.
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Guido Marseglia, Elisa Rivieccio and Carlo Maria Medaglia
The purpose of this paper is to set out ideas regarding a systematic approach that defines the Italian National energy strategies, considering the standards imposed from European…
Abstract
Purpose
The purpose of this paper is to set out ideas regarding a systematic approach that defines the Italian National energy strategies, considering the standards imposed from European Union.
Design/methodology/approach
A conceptual framework to estimate a model to define the energy policies for different sectors in the Italian case is underlined. The aims of Italian energy strategy in the worldwide scenario are discussed. The authors have considered the relations between the environment and the human impact on the energy conversion process by means of a conceptual method.
Findings
The actions considered to reach the aims of energy policies objectives are highlighted. This research aims to inform future development in the topic area, considering future perspectives and socio-economical implications for Italy.
Originality/value
The paper will be of interest to firm managers, ecologists and policymakers with a particular interest in energy policies, considering socio-technical implications. The framework can be applied for facilitating discussions or for scenario planning.