Colorado PROFILES, The Colorado Clinical and Translational Sciences Institute (CCTSI)
Keywords
Last Name
Institution

Contact Us
If you have any questions or feedback please contact us.

Connection

William Baumgartner to Databases, Factual

This is a "connection" page, showing publications William Baumgartner has written about Databases, Factual.

 
Connection Strength
 
 
 
0.154
 
  1. Livingston KM, Bada M, Baumgartner WA, Hunter LE. KaBOB: ontology-based semantic integration of biomedical databases. BMC Bioinformatics. 2015 Apr 23; 16:126.
    View in: PubMed
    Score: 0.073
  2. Ostropolets A, Albogami Y, Conover M, Banda JM, Baumgartner WA, Blacketer C, Desai P, DuVall SL, Fortin S, Gilbert JP, Golozar A, Ide J, Kanter AS, Kern DM, Kim C, Lai LYH, Li C, Liu F, Lynch KE, Minty E, Neves MI, Ng DQ, Obene T, Pera V, Pratt N, Rao G, Rappoport N, Reinecke I, Saroufim P, Shoaibi A, Simon K, Suchard MA, Swerdel JN, Voss EA, Weaver J, Zhang L, Hripcsak G, Ryan PB. Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. J Am Med Inform Assoc. 2023 04 19; 30(5):859-868.
    View in: PubMed
    Score: 0.032
  3. Bada M, Eckert M, Evans D, Garcia K, Shipley K, Sitnikov D, Baumgartner WA, Cohen KB, Verspoor K, Blake JA, Hunter LE. Concept annotation in the CRAFT corpus. BMC Bioinformatics. 2012 Jul 09; 13:161.
    View in: PubMed
    Score: 0.015
  4. Roeder C, Jonquet C, Shah NH, Baumgartner WA, Verspoor K, Hunter L. A UIMA wrapper for the NCBO annotator. Bioinformatics. 2010 Jul 15; 26(14):1800-1.
    View in: PubMed
    Score: 0.013
  5. Kano Y, Baumgartner WA, McCrohon L, Ananiadou S, Cohen KB, Hunter L, Tsujii J. U-Compare: share and compare text mining tools with UIMA. Bioinformatics. 2009 Aug 01; 25(15):1997-8.
    View in: PubMed
    Score: 0.012
  6. Johnson HL, Cohen KB, Baumgartner WA, Lu Z, Bada M, Kester T, Kim H, Hunter L. Evaluation of lexical methods for detecting relationships between concepts from multiple ontologies. Pac Symp Biocomput. 2006; 28-39.
    View in: PubMed
    Score: 0.010
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

Copyright © 2026 The Regents of the University of Colorado, a body corporate. All rights reserved. (Harvard PROFILES RNS software version: 2.11.1)