Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 538178
Title Semantics for interoperability of distributed data and models: Foundations for better-connected information
Author(s) Villa, Ferdinando; Balbi, Stefano; Athanasiadis, I.N.; Caracciolo, Caterina
Source F1000 Research 6 (2017). - ISSN 2046-1402 - 34 p.
Department(s) WASS
Information Technology
Publication type Refereed Article in a scientific journal
Publication year 2017
Keyword(s) Semantic annotation - Semantic meta-modelling - Semantic mediation - Interoperability - Linked open data - Semantic web - Artificial intelligence - Scientific workflows
Abstract 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: 1. A definition of interoperability based on semantics and scale; 2. A conceptual foundation for the phenomenology underlying scientific observations, aimed to guide the practice of semantic annotation in domain communities; 3. 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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