TogoDoc server/client system: smart recommendation and efficient management of life science literature.

In this paper, we describe a server/client literature management system specialized for the life science domain, the TogoDoc system (Togo, pronounced Toe-Go, is a romanization of a Japanese word for integration). The server and the client program cooperate closely over the Internet to provide life s...

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Autores principales: Wataru Iwasaki, Yasunori Yamamoto, Toshihisa Takagi
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Publicado: Public Library of Science (PLoS) 2010
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Acceso en línea:https://doaj.org/article/b160a760a31e45239177401f68e3010f
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spelling oai:doaj.org-article:b160a760a31e45239177401f68e3010f2021-11-18T07:01:46ZTogoDoc server/client system: smart recommendation and efficient management of life science literature.1932-620310.1371/journal.pone.0015305https://doaj.org/article/b160a760a31e45239177401f68e3010f2010-12-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21179453/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203In this paper, we describe a server/client literature management system specialized for the life science domain, the TogoDoc system (Togo, pronounced Toe-Go, is a romanization of a Japanese word for integration). The server and the client program cooperate closely over the Internet to provide life scientists with an effective literature recommendation service and efficient literature management. The content-based and personalized literature recommendation helps researchers to isolate interesting papers from the "tsunami" of literature, in which, on average, more than one biomedical paper is added to MEDLINE every minute. Because researchers these days need to cover updates of much wider topics to generate hypotheses using massive datasets obtained from public databases or omics experiments, the importance of having an effective literature recommendation service is rising. The automatic recommendation is based on the content of personal literature libraries of electronic PDF papers. The client program automatically analyzes these files, which are sometimes deeply buried in storage disks of researchers' personal computers. Just saving PDF papers to the designated folders makes the client program automatically analyze and retrieve metadata, rename file names, synchronize the data to the server, and receive the recommendation lists of newly published papers, thus accomplishing effortless literature management. In addition, the tag suggestion and associative search functions are provided for easy classification of and access to past papers (researchers who read many papers sometimes only vaguely remember or completely forget what they read in the past). The TogoDoc system is available for both Windows and Mac OS X and is free. The TogoDoc Client software is available at http://tdc.cb.k.u-tokyo.ac.jp/, and the TogoDoc server is available at https://docman.dbcls.jp/pubmed_recom.Wataru IwasakiYasunori YamamotoToshihisa TakagiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 12, p e15305 (2010)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Wataru Iwasaki
Yasunori Yamamoto
Toshihisa Takagi
TogoDoc server/client system: smart recommendation and efficient management of life science literature.
description In this paper, we describe a server/client literature management system specialized for the life science domain, the TogoDoc system (Togo, pronounced Toe-Go, is a romanization of a Japanese word for integration). The server and the client program cooperate closely over the Internet to provide life scientists with an effective literature recommendation service and efficient literature management. The content-based and personalized literature recommendation helps researchers to isolate interesting papers from the "tsunami" of literature, in which, on average, more than one biomedical paper is added to MEDLINE every minute. Because researchers these days need to cover updates of much wider topics to generate hypotheses using massive datasets obtained from public databases or omics experiments, the importance of having an effective literature recommendation service is rising. The automatic recommendation is based on the content of personal literature libraries of electronic PDF papers. The client program automatically analyzes these files, which are sometimes deeply buried in storage disks of researchers' personal computers. Just saving PDF papers to the designated folders makes the client program automatically analyze and retrieve metadata, rename file names, synchronize the data to the server, and receive the recommendation lists of newly published papers, thus accomplishing effortless literature management. In addition, the tag suggestion and associative search functions are provided for easy classification of and access to past papers (researchers who read many papers sometimes only vaguely remember or completely forget what they read in the past). The TogoDoc system is available for both Windows and Mac OS X and is free. The TogoDoc Client software is available at http://tdc.cb.k.u-tokyo.ac.jp/, and the TogoDoc server is available at https://docman.dbcls.jp/pubmed_recom.
format article
author Wataru Iwasaki
Yasunori Yamamoto
Toshihisa Takagi
author_facet Wataru Iwasaki
Yasunori Yamamoto
Toshihisa Takagi
author_sort Wataru Iwasaki
title TogoDoc server/client system: smart recommendation and efficient management of life science literature.
title_short TogoDoc server/client system: smart recommendation and efficient management of life science literature.
title_full TogoDoc server/client system: smart recommendation and efficient management of life science literature.
title_fullStr TogoDoc server/client system: smart recommendation and efficient management of life science literature.
title_full_unstemmed TogoDoc server/client system: smart recommendation and efficient management of life science literature.
title_sort togodoc server/client system: smart recommendation and efficient management of life science literature.
publisher Public Library of Science (PLoS)
publishDate 2010
url https://doaj.org/article/b160a760a31e45239177401f68e3010f
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