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Relevant bibliographies by topics / Federated text retrieval

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Journal articles
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Academic literature on the topic 'Federated text retrieval'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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Journal articles on the topic "Federated text retrieval"

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Goncharov, Mikhail, and Kirill Kolosov. "Development the RNPLS&T’s Open Archive system." Scientific and Technical Libraries, no. 12 (December 27, 2018): 42–48. http://dx.doi.org/10.33186/1027-3689-2018-12-42-48.

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RNPLS&T’s experience in providing open access and developing open archives is discussed. RNPLS&T’s heterogeneous information resources are evaluated; the structure of the inhouse digital resources in 2018 is described, including digitized books in RNPLS&T’s Electronic Archive, employees’ articles, articles in journals published by the Library, articles in the Library conferences proceedings, all hosted by the E-library, and the RNPLS&T’s information systems. The technologies of access to RNPLS&T’s digital resources are characterized, including in-house and commercial ones:

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Seguin, Aurélie, Robert Brian Haynes, Sebastian Carballo, Alfonso Iorio, Arnaud Perrier, and Thomas Agoritsas. "Translating Clinical Questions by Physicians Into Searchable Queries: Analytical Survey Study." JMIR Medical Education 6, no. 1 (April 20, 2020): e16777. http://dx.doi.org/10.2196/16777.

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Background Staying up to date and answering clinical questions with current best evidence from health research is challenging. Evidence-based clinical texts, databases, and tools can help, but clinicians first need to translate their clinical questions into searchable queries. MacPLUS FS (McMaster Premium LiteratUre Service Federated Search) is an online search engine that allows clinicians to explore multiple resources simultaneously and retrieves one single output that includes the following: (1) evidence from summaries (eg, UpToDate and DynaMed), (2) preappraised research (eg, EvidenceAlert

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Daniel, Christel, and Dipak Kalra. "Clinical Research Informatics: Contributions from 2018." Yearbook of Medical Informatics 28, no. 01 (August 2019): 203–5. http://dx.doi.org/10.1055/s-0039-1677921.

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Objectives: To summarize key contributions to current research in the field of Clinical Research Informatics (CRI) and to select best papers published in 2018. Method: A bibliographic search using a combination of MeSH descriptors and free-text terms on CRI was performed using PubMed, followed by a double-blind review in order to select a list of candidate best papers to be then peer-reviewed by external reviewers. After peer-review ranking, a consensus meeting of the editorial team was organized to conclude on the selection of best papers. Results: Among the 1,469 retrieved papers published i

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Yong, Winston, and Anya Kundakchian. "Critical Care Equipment Management Reimagined in an Emergency." Blockchain in Healthcare Today, December 17, 2020. http://dx.doi.org/10.30953/bhty.v3.146.

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Summary: The COVID19 pandemic created a surge in demand for critical care equipment against a backdrop of fast-moving geographic virus hotspots. A team from IBM Europe was put together to prove that a devolved healthcare system can be rapidly bridged by a mix of advanced and legacy technologies to provide a federated view of critical care equipment deployment and use during an emergency. This was achieved with the deployment of predictive analytics and blockchain, integrated with conventional hospital management system. The corollary investigation determined the manner in which this system can

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Dissertations / Theses on the topic "Federated text retrieval"

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Shokouhi, Milad, and milads@microsoft com. "Federated Text Retrieval from Independent Collections." RMIT University. Computer Science and Information Technology, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080521.151632.

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Federated information retrieval is a technique for searching multiple text collections simultaneously. Queries are submitted to a subset of collections that are most likely to return relevant answers. The results returned by selected collections are integrated and merged into a single list. Federated search is preferred over centralized search alternatives in many environments. For example, commercial search engines such as Google cannot index uncrawlable hidden web collections; federated information retrieval systems can search the contents of hidden web collections without crawling. In enter

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Conference papers on the topic "Federated text retrieval"

1

Shokouhi, Milad, and Justin Zobel. "Federated text retrieval from uncooperative overlapped collections." In the 30th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1277741.1277827.

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