preVIEW: from a fast prototype towards a sustainable semantic search system for central access to COVID-19 preprints

Langnickel, Lisa; Darms, Johannes; Baum, Roman; Fluck, Juliane

doi:10.32384/jeahil17484

Cited by 10 publications

(6 citation statements)

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“…It was developed by the German NFDI4Health Task Force COVID-19 ( https://www.nfdi4health.de/en/task-force-covid-19.html ), is funded by the German Research Foundation (the Deutsche Forschungsgemeinschaft (DFG) https://www.dfg.de/ ) [ 2 ], and is updated daily [ 1 ]. PreVIEW uses artificial intelligence (AI) to tag or annotate preprints with subject heading-like semantic concepts [ 1 , 3 , 4 ].…”

Section: Product Descriptionmentioning

confidence: 99%

“…As the developers state, preVIEW’s modular design will facilitate adding more semantic classes in future [ 4 ]. I would be interested in the addition of study designs (e.g., to narrow to systematic review preprints, or exclude case reports) and whether AI could successfully recognize more complex categories, such as COVID-19 patients versus non-COVID patients studied during the coronavirus pandemic.…”

Section: Weaknessesmentioning

confidence: 99%

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preVIEW: COVID-19 (product review)

McGill

2023

J Can Health Libr Assoc

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Section: Product Descriptionmentioning

confidence: 99%

Section: Weaknessesmentioning

confidence: 99%

preVIEW: COVID-19 (product review)

McGill

2023

J Can Health Libr Assoc

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“…We obtained the metadata from the NLM’s official XML dumps. In joint cooperation with ZB MED and the Robert Koch-Institute in Germany, we integrated about 45k pre-prints from PreView [ 22 , 23 ] (ZB MED service) for COVID-19 questions. In both cases, we loaded each publication’s titles, abstracts, and metadata (authors, journal, etc.).…”

Section: Discovery Systemmentioning

confidence: 99%

A discovery system for narrative query graphs: entity-interaction-aware document retrieval

et al. 2023

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Finding relevant publications in the scientific domain can be quite tedious: Accessing large-scale document collections often means to formulate an initial keyword-based query followed by many refinements to retrieve a sufficiently complete, yet manageable set of documents to satisfy one’s information need. Since keyword-based search limits researchers to formulating their information needs as a set of unconnected keywords, retrieval systems try to guess each user’s intent. In contrast, distilling short narratives of the searchers’ information needs into simple, yet precise entity-interaction graph patterns provides all information needed for a precise search. As an additional benefit, such graph patterns may also feature variable nodes to flexibly allow for different substitutions of entities taking a specified role. An evaluation over the PubMed document collection quantifies the gains in precision for our novel entity-interaction-aware search. Moreover, we perform expert interviews and a questionnaire to verify the usefulness of our system in practice. This paper extends our previous work by giving a comprehensive overview about the discovery system to realize narrative query graph retrieval.

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“…(1) We included the LitCovid collection from PubMed (peerreviewed articles about Covid 19) and the latest Covid 19related pre-prints supplied by ZB MED [14,15]. These preprints can be accessed via their Preview service 4 .…”

Section: Narrative Query Graphs For Covid 19mentioning

confidence: 99%

What a Publication Tells You -- Benefits of Narrative Information Access in Digital Libraries

Kroll,

Plötzky,

Pirklbauer

et al. 2022

Preprint

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Knowledge bases allow effective access paths in digital libraries.Here users can specify their information need as graph patterns for precise searches and structured overviews (by allowing variables in queries). But especially when considering textual sources that contain narrative information, i.e., short stories of interest, harvesting statements from them to construct knowledge bases may be a serious threat to the statements' validity. A piece of information, originally stated in a coherent line of arguments, could be used in a knowledge base query processing without considering its vital context conditions. And this can lead to invalid results. That is why we argue to move towards narrative information access by considering contexts in the query processing step. In this way digital libraries can allow users to query for narrative information and supply them with valid answers. In this paper we define narrative information access, demonstrate its benefits for Covid 19 related questions, and argue on the generalizability for other domains such as political sciences.

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preVIEW: from a fast prototype towards a sustainable semantic search system for central access to COVID-19 preprints

Cited by 10 publications

References 0 publications

preVIEW: COVID-19 (product review)

preVIEW: COVID-19 (product review)

A discovery system for narrative query graphs: entity-interaction-aware document retrieval

What a Publication Tells You -- Benefits of Narrative Information Access in Digital Libraries

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