DLAIMay 30, 2013

For a Semantic Web based Peer-reviewing and Publication of Research Results

arXiv:1305.7196v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses inefficiencies in academic publishing and peer review for researchers and publishers, but it is incremental as it builds on existing Semantic Web concepts.

The paper proposes using fine-grained semantic networks within the Semantic Web to improve the efficiency, precision, and relevance of disseminating and peer-reviewing research results, suggesting that publishers could adopt this approach.

This article shows why the diffusion and peer-reviewing of research results would be more efficient, precise and relevant if all or at least some parts of the descriptions and peer-reviews of research results took the form of a fine-grained semantic network, within articles or knowledge bases, as part of the Semantic Web. This article also shows some ways this can be done and hence how research journal/proceeding publishers could allow this. So far, the World Wide Web Consortium (W3C) has not proposed simple notations and cooperation protocols - similar to those illustrated or referred to in this article - but it now seems likely that Wikipedia/Wikidata, Google or the W3C will propose them sooner or later. Then, research journal/proceeding publishers and researchers may or may not quickly use this approach.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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