A Framework for Citing Nanopublications

Fabris, Erika; Kuhn, Tobias; Silvello, Gianmaria

doi:10.1007/978-3-030-30760-8_6

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…To promote the reuse of nanopublications and increase acceptance, scholars have recently proposed a nanocitation format that can cite individual nanopublications and allocate credits to the contributor. Therefore, it is possible to design bibliometric indicators, conduct fine-grained analysis of knowledge units, and combine them with current scientific research (Fabris, Kuhn, & Silvello, 2019).…”

Section: Nanopublication: a Richer Semantic Representation For Knowle...mentioning

confidence: 99%

Extracting and Measuring Uncertain Biomedical Knowledge from Scientific Statements

Guo

Dong

2022

Journal of Data and Information Science

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Purpose Given the information overload of scientific literature, there is an increasing need for computable biomedical knowledge buried in free text. This study aimed to develop a novel approach to extracting and measuring uncertain biomedical knowledge from scientific statements. Design/methodology/approach Taking cardiovascular research publications in China as a sample, we extracted subject–predicate–object triples (SPO triples) as knowledge units and unknown/hedging/conflicting uncertainties as the knowledge context. We introduced information entropy (IE) as potential metric to quantify the uncertainty of epistemic status of scientific knowledge represented at subject-object pairs (SO pairs) levels. Findings The results indicated an extraordinary growth of cardiovascular publications in China while only a modest growth of the novel SPO triples. After evaluating the uncertainty of biomedical knowledge with IE, we identified the Top 10 SO pairs with highest IE, which implied the epistemic status pluralism. Visual presentation of the SO pairs overlaid with uncertainty provided a comprehensive overview of clusters of biomedical knowledge and contending topics in cardiovascular research. Research limitations The current methods didn’t distinguish the specificity and probabilities of uncertainty cue words. The number of sentences surrounding a given triple may also influence the value of IE. Practical implications Our approach identified major uncertain knowledge areas such as diagnostic biomarkers, genetic polymorphism and co-existing risk factors related to cardiovascular diseases in China. These areas are suggested to be prioritized; new hypotheses need to be verified, while disputes, conflicts, and contradictions need to be settled. Originality/value We provided a novel approach by combining natural language processing and computational linguistics with informetric methods to extract and measure uncertain knowledge from scientific statements.

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Section: Nanopublication: a Richer Semantic Representation For Knowle...mentioning

confidence: 99%

Extracting and Measuring Uncertain Biomedical Knowledge from Scientific Statements

Guo

Dong

2022

Journal of Data and Information Science

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“…Citation system (10): it generates the citations text snippet for the nanopublications of interest to the user by relying on the system presented by Fabris, Kuhn & Silvello (2019).…”

Section: The Nanoweb Architecturementioning

confidence: 99%

Search, access, and explore life science nanopublications on the Web

Giachelle¹,

Dosso²,

Silvello³

2021

PeerJ Computer Science

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Nanopublications are Resource Description Framework (RDF) graphs encoding scientific facts extracted from the literature and enriched with provenance and attribution information. There are millions of nanopublications currently available on the Web, especially in the life science domain. Nanopublications are thought to facilitate the discovery, exploration, and re-use of scientific facts. Nevertheless, they are still not widely used by scientists outside specific circles; they are hard to find and rarely cited. We believe this is due to the lack of services to seek, find and understand nanopublications’ content. To this end, we present the NanoWeb application to seamlessly search, access, explore, and re-use the nanopublications publicly available on the Web. For the time being, NanoWeb focuses on the life science domain where the vastest amount of nanopublications are available. It is a unified access point to the world of nanopublications enabling search over graph data, direct connections to evidence papers, and scientific curated databases, and visual and intuitive exploration of the relation network created by the encoded scientific facts.

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