Toward knowledge structuring of sustainability science based on ontology engineering

Kumazawa, Terukazu; Saito, Osamu; Kozaki, Kouji; Matsui, Takanori; Mizoguchi, Riichiro

doi:10.1007/s11625-009-0076-2

Cited by 22 publications

(25 citation statements)

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“…As a consequence, there can be no structured step-by-step or 'best practice' guide to conducting integrated research. (This has not stopped eager research teams from offering their own experiences (or workshops) as examples of 'best practices' though [76,[88][89][90].) In addition, for research employing a transdisciplinary or goal-oriented interdisciplinary approach, the process of designing and conducting the research needs to be an iterative one and, consequently, setting too rigorous a guideline for the integrated project would remove some of the flexibility that is essential for its success.…”

Section: Multidisciplinaritymentioning

confidence: 99%

Defining Terms for Integrated (Multi-Inter-Trans-Disciplinary) Sustainability Research

2011

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Abstract:Our contemporary social and ecological problems, including climate change, peak oil and food security, necessitate solutions informed by multiple backgrounds that singular disciplines seem unable to provide, and possibly, are even incapable of providing. The increasing occurrence of multi-, inter-and transdisciplinary (MIT) research projects speak to the recognition of that necessity. But as the literature and our own experiences bear out, just calling a project "beyond disciplinary" or integrated does not necessarily yield the intended outcomes or make progress toward alleviating the hurdles of bridging disciplines. Here we examine the distinctions between three categories (multidisciplinary, interdisciplinary and transdisciplinary) of integrated research and offer reflections on how sustainability researchers can categorize their research to improve common understandings.

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Section: Multidisciplinaritymentioning

confidence: 99%

Defining Terms for Integrated (Multi-Inter-Trans-Disciplinary) Sustainability Research

2011

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“…Unfortunately, most of this is not shown. "Specification (13) is complete and correct, as geography:Elevation is fully characterized in terms of inherency within the worldview, as seen in statement (1)." What is meant by "fully" here?…”

Section: The Funders Had No Role In Study Designmentioning

confidence: 99%

“…bioinformatics, ecoinformatics, geoinformatics) have emerged to focus on reusability and integration of data artifacts and models. Reusability, versatility, reproducibility, extensibility, availability, and interpretability of information were identified as key requirements for sustainability 1 . Wilkinson et al 2 outlined the FAIR principles for data stewardship and management, calling for Findable, Accessible, Interoperable, and Reusable scholarly data publication.…”

Section: Introductionmentioning

confidence: 99%

Semantics for interoperability of distributed data and models: Foundations for better-connected information

et al. 2017

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Correct and reliable linkage of independently produced information is a requirement to enable sophisticated applications and processing workflows. These can ultimately help address the challenges posed by complex systems (such as socio-ecological systems), whose many components can only be described through independently developed data and model products. We discuss the first outcomes of an investigation in the conceptual and methodological aspects of semantic annotation of data and models, aimed to enable a high standard of interoperability of information. The results, operationalized in the context of a long-term, active, large-scale project on ecosystem services assessment, include:A definition of interoperability based on semantics and scale; A conceptual foundation for the phenomenology underlying scientific observations, aimed to guide the practice of semantic annotation in domain communities; A dedicated language and software infrastructure that operationalizes the findings and allows practitioners to reap the benefits of data and model interoperability.The work presented is the first detailed description of almost a decade of work with communities active in socio-ecological system modeling. After defining the boundaries of possible interoperability based on the understanding of scale, we discuss examples of the practical use of the findings to obtain consistent, interoperable and machine-ready semantic specifications that can integrate semantics across diverse domains and disciplines.

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“…To overcome this problem, we took an ontology-based approach and developed knowledge-structuring tool based on ontology engineering. It is based on a reference model composed of five layers for knowledge structuring in sustainability science [2]. Fig.1 shows an overview of the knowledge structuring tool.…”

Section: Introductionmentioning

confidence: 99%

Ontology exploration tool for social, economic and environmental development

Kozaki

Kumazawa

Saito

et al. 2013

2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST)

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Abstract-In the SEED (Social, Economic and Environmental Development) framework, semantic knowledge management is one of key technologies which refine the framework. In order to facilitate collaborative sustainable development, it is important to know what others are thinking about each other accrues different domains. This paper overviews an ontology exploration tool which facilitates collaborative sustainable development. Its features are divergent exploration according to the user's viewpoints and consensus building support through comparisons among conceptual maps which are results of the explorations.

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Toward knowledge structuring of sustainability science based on ontology engineering

Cited by 22 publications

References 0 publications

Defining Terms for Integrated (Multi-Inter-Trans-Disciplinary) Sustainability Research

Defining Terms for Integrated (Multi-Inter-Trans-Disciplinary) Sustainability Research

Semantics for interoperability of distributed data and models: Foundations for better-connected information

Ontology exploration tool for social, economic and environmental development

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