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http://scihub22266oqcxt.onion/ C5889951!5889951 !29636656     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=29636656 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\29636656 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       CEUR+Workshop+Proc 2015 ; 1515 (ä): ä Nephropedia Template TP {{tp|p=29636656 |t=2015. Investigating Term Reuse and Overlap in Biomedical Ontologies |pdf=|usr=}}{{29636656 }} gab.com Text Investigating Term Reuse and Overlap in Biomedical Ontologies JO: CEUR Workshop Proc http://www.kidney.de/pget.php?&tw=1&pmid=29636656 #FOAvip We investigate the current extent of term reuse and overlap among biomedical ontologies. We use the corpus of biomedical ontologies stored in the BioPortal repository, and analyze three types of reuse constructs: (a) explicit term reuse, (b) xref reuse, and (c) Concept Unique Identifier (CUI) reuse. While there is a term label similarity of approximately 14.4% of the total terms, we observed that most ontologies reuse considerably fewer than 5% of their terms from a concise set of a few core ontologies. We developed an interactive visualization to explore reuse dependencies among biomedical ontologies. Moreover, we identified a set of patterns that indicate ontology developers did intend to reuse terms from other ontologies, but they were using different and sometimes incorrect representations. Our results suggest the value of semi-automated tools that augment term reuse in the ontology engineering process through personalized recommendations. Twit Text FOAVip Investigating Term Reuse and Overlap in Biomedical Ontologies ????CEUR Workshop Proc http://www.kidney.de/pget.php?&tw=1&pmid=29636656 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29636656 #FOAvip English Wikipedia <ref>{{Cite pmid|29636656 }}</ref> Investigating Term Reuse and Overlap in Biomedical Ontologies #MMPMID29636656 Kamdar MR ; Tudorache T ; Musen MA CEUR Workshop Proc 2015[Jul]; 1515 (ä): ä PMID29636656 show ga We investigate the current extent of term reuse and overlap among biomedical ontologies. We use the corpus of biomedical ontologies stored in the BioPortal repository, and analyze three types of reuse constructs: (a) explicit term reuse, (b) xref reuse, and (c) Concept Unique Identifier (CUI) reuse. While there is a term label similarity of approximately 14.4% of the total terms, we observed that most ontologies reuse considerably fewer than 5% of their terms from a concise set of a few core ontologies. We developed an interactive visualization to explore reuse dependencies among biomedical ontologies. Moreover, we identified a set of patterns that indicate ontology developers did intend to reuse terms from other ontologies, but they were using different and sometimes incorrect representations. Our results suggest the value of semi-automated tools that augment term reuse in the ontology engineering process through personalized recommendations. äInvestigating Term Reuse and Overlap in Biomedical Ontologies (epmc).pdf DeepDyve Pubget Overpricing