Cite

ANSI/NISO Z39.19-2005 (2010) Guidelines for the Construction, Format, and Management of Monolingual Controlled Vocabularies | NISO website. (n.d.). Retrieved from https://www.niso.org/publications/ansiniso-z3919-2005-r2010ANSI/NISO Z39.19-20052010Guidelines for the Construction, Format, and Management of Monolingual Controlled Vocabularies | NISO website(n.d.). Retrieved from https://www.niso.org/publications/ansiniso-z3919-2005-r2010Search in Google Scholar

Antoniou, G., & van Harmelen, F. (2004). Web Ontology Language: OWL. In S. Staab & R. Studer (Eds.), Handbook on Ontologies (pp. 67–92). Springer. https://doi.org/10.1007/978-3-540-24750-0_4AntoniouG.van HarmelenF.2004Web Ontology Language: OWLInStaabS.StuderR.(Eds.),Handbook on Ontologies6792Springerhttps://doi.org/10.1007/978-3-540-24750-0_410.1007/978-3-540-24750-0_4Search in Google Scholar

Chan, L.M., & Zeng, M.L. (2002). Ensuring interoperability among subject vocabularies and knowledge organization schemes: A methodological analysis. IFLA Journal, 28(5–6), 323–327. https://doi.org/10.1177/034003520202800519ChanL.M.ZengM.L.2002Ensuring interoperability among subject vocabularies and knowledge organization schemes: A methodological analysisIFLA Journal285–6323327https://doi.org/10.1177/03400352020280051910.1177/034003520202800519Search in Google Scholar

Doing-Harris, K.M., & Zeng-Treitler, Q. (2011). Computer-assisted update of a consumer health vocabulary through mining of social network data. Journal of Medical Internet Research, 13(2), e37. https://doi.org/10.2196/jmir.1636Doing-HarrisK.M.Zeng-TreitlerQ.2011Computer-assisted update of a consumer health vocabulary through mining of social network dataJournal of Medical Internet Research132e37https://doi.org/10.2196/jmir.163610.2196/jmir.1636322138421586386Search in Google Scholar

Eisner, R., Poulin, B., Szafron, D., Lu, P., & Greiner, R. (2005). Improving protein function prediction using the hierarchical structure of the gene ontology. 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 1–10. https://doi.org/10.1109/CIBCB.2005.1594940EisnerR.PoulinB.SzafronD.LuP.GreinerR.2005Improving protein function prediction using the hierarchical structure of the gene ontology2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology110https://doi.org/10.1109/CIBCB.2005.159494010.1109/CIBCB.2005.1594940Search in Google Scholar

Francesconi, E., Faro, S., Marinai, E., & Peruginelli, G. (2008). A methodological framework for thesaurus semantic interoperability. In Proceeding of the Fifth European Semantic Web Conference, pp. 76–87. https://scholar.googleusercontent.com/scholar?q=cache:5lsA9SO1FxoJ:scholar.google.com/+Francesconi,+E.,+Faro,+S.,+Marinai,+E.,+%26+Perugi,+G.+(2008).+A+methodological+framework+for+thesaurus+semantic+interoperability.+In+Proceeding+of+the+Fifth+European+Semantic+Web+Conference+(pp.+76-87).&hl=en&as_sdt=0,39FrancesconiE.FaroS.MarinaiE.PeruginelliG.2008A methodological framework for thesaurus semantic interoperabilityInProceeding of the Fifth European Semantic Web Conference7687https://scholar.googleusercontent.com/scholar?q=cache:5lsA9SO1FxoJ:scholar.google.com/+Francesconi,+E.,+Faro,+S.,+Marinai,+E.,+%26+Perugi,+G.+(2008).+A+methodological+framework+for+thesaurus+semantic+interoperability.+In+Proceeding+of+the+Fifth+European+Semantic+Web+Conference+(pp.+76-87).&hl=en&as_sdt=0,39Search in Google Scholar

Greenberg, J., Losee, R., Agüera, J.R.P., Scherle, R., White, H., & Willis, C. (2011). HIVE: Helping interdisciplinary vocabulary engineering. Bulletin of the American Society for Information Science and Technology, 37(4), 23–26. https://doi.org/10.1002/bult.2011.1720370407GreenbergJ.LoseeR.AgüeraJ.R.P.ScherleR.WhiteH.WillisC.2011HIVE: Helping interdisciplinary vocabulary engineeringBulletin of the American Society for Information Science and Technology3742326https://doi.org/10.1002/bult.2011.172037040710.1002/bult.2011.1720370407Search in Google Scholar

He, Z., Chen, Z.W., Oh, S., Hou, J.H., & Bian, J. (2017). Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach. Journal of Biomedical Informatics, 69, 75–85. https://doi.org/10.1016/j.jbi.2017.03.016HeZ.ChenZ.W.OhS.HouJ.H.BianJ.2017Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approachJournal of Biomedical Informatics697585https://doi.org/10.1016/j.jbi.2017.03.01610.1016/j.jbi.2017.03.016548869128359728Search in Google Scholar

Heath, T., & Bizer, C. (2011). Linked data: Evolving the web into a global data space. Synthesis Lectures on the Semantic Web: Theory and Technology, 1(1), 1–136. https://doi.org/10.2200/S00334ED1V01Y201102WBE001HeathT.BizerC.2011Linked data: Evolving the web into a global data spaceSynthesis Lectures on the Semantic Web: Theory and Technology111136https://doi.org/10.2200/S00334ED1V01Y201102WBE00110.2200/S00334ED1V01Y201102WBE001Search in Google Scholar

IOS Press Ebooks. (2001). MEDINFO 2001. In the Proceedings of the 10th World Congress on Medical Informatics. (n.d.). Retrieved from http://ebooks.iospress.nl/volume/medinfo-2001IOS Press Ebooks2001MEDINFO 2001In the Proceedings of the 10th World Congress on Medical Informatics(n.d.). Retrieved from http://ebooks.iospress.nl/volume/medinfo-2001Search in Google Scholar

Isaac, A., Wang, S., Zinn, C., Matthezing, H., van der Meij, L., & Schlobach, S. (2009). Evaluating thesaurus alignments for semantic interoperability in the library domain. IEEE Intelligent Systems, 24(2), 76–86. https://doi.org/10.1109/MIS.2009.26IsaacA.WangS.ZinnC.MatthezingH.van der MeijL.SchlobachS.2009Evaluating thesaurus alignments for semantic interoperability in the library domainIEEE Intelligent Systems2427686https://doi.org/10.1109/MIS.2009.2610.1109/MIS.2009.26Search in Google Scholar

Jiang, L., & Yang, C.C. (2015). Expanding consumer health vocabularies by learning consumer health expressions from online health social media. In N. Agarwal, K. Xu, & N. Osgood (Eds.), Social Computing, Behavioral-Cultural Modeling, and Prediction (pp. 314–320). Springer International Publishing. https://doi.org/10.1007/978-3-319-16268-3_36JiangL.YangC.C.2015Expanding consumer health vocabularies by learning consumer health expressions from online health social mediaInAgarwalN.XuK.OsgoodN.(Eds.),Social Computing, Behavioral-Cultural Modeling, and Prediction314320Springer International Publishinghttps://doi.org/10.1007/978-3-319-16268-3_3610.1007/978-3-319-16268-3_36Search in Google Scholar

Kaisser, M., Hearst, M.A., & Lowe, J.B. (2008). Improving search results quality by customizing summary lengths. In Proceedings of ACL-08: HLT, 701–709. https://www.aclweb.org/anthology/P08-1080KaisserM.HearstM.A.LoweJ.B.2008Improving search results quality by customizing summary lengthsInProceedings of ACL-08: HLT701709https://www.aclweb.org/anthology/P08-1080Search in Google Scholar

McCray, A.T., Aronson, A.R., Browne, A.C., Rindflesch, T.C., Razi, A., & Srinivasan, S. (1993). UMLS knowledge for biomedical language processing. Bulletin of the Medical Library Association, 81(2), 184–194.McCrayA.T.AronsonA.R.BrowneA.C.RindfleschT.C.RaziA.SrinivasanS.1993UMLS knowledge for biomedical language processingBulletin of the Medical Library Association812184194Search in Google Scholar

Miles, A., Matthews, B., Wilson, M., & Brickley, D. (2005). SKOS Core: Simple Knowledge Organisation for the Web. In Proceedings of the 2005 International Conference on Dublin Core and Metadata Applications: Vocabularies in Practice. pp. 3–10.MilesA.MatthewsB.WilsonM.BrickleyD.2005SKOS Core: Simple Knowledge Organisation for the WebProceedings of the 2005 International Conference on Dublin Core and Metadata Applications: Vocabularies in Practice310Search in Google Scholar

Rubenstein, E. (2012). From social hygiene to consumer health: Libraries, health information, and the American public from the late nineteenth century to the 1980s. Library & Information History, 28(3), 202–219. https://doi.org/10.1179/1758348912Z.00000000016RubensteinE.2012From social hygiene to consumer health: Libraries, health information, and the American public from the late nineteenth century to the 1980sLibrary & Information History283202219https://doi.org/10.1179/1758348912Z.0000000001610.1179/1758348912Z.00000000016Search in Google Scholar

Salvadores, M., Alexander, P.R., Musen, M.A., & Noy, N.F. (2013). BioPortal as a dataset of linked biomedical ontologies and terminologies in RDF. Semantic Web, 4(3), 277–284.SalvadoresM.AlexanderP.R.MusenM.A.NoyN.F.2013BioPortal as a dataset of linked biomedical ontologies and terminologies in RDFSemantic Web4327728410.3233/SW-2012-0086Search in Google Scholar

Shadbolt, N., Berners-Lee, T., & Hall, W. (2006). The semantic web revisited. IEEE Intelligent Systems, 21(3), 96–101. https://doi.org/10.1109/MIS.2006.62ShadboltN.Berners-LeeT.HallW.2006The semantic web revisitedIEEE Intelligent Systems21396101https://doi.org/10.1109/MIS.2006.6210.1109/MIS.2006.62Search in Google Scholar

Singh, A., & Nakata, K. (2005). Hierarchical classification of web search results using personalized ontologies. In Proceedings of the 3rd International Conference On Universal Access in Human-Computer Interaction, 10.SinghA.NakataK.2005Hierarchical classification of web search results using personalized ontologiesInProceedings of the 3rd International Conference On Universal Access in Human-Computer Interaction10Search in Google Scholar

Slater, L.T., Gkoutos, G.V., & Hoehndorf, R. (2020). Towards semantic interoperability: Finding and repairing hidden contradictions in biomedical ontologies. bioRxiv 2020.05.16.099309. https://doi.org/10.1101/2020.05.16.099309SlaterL.T.GkoutosG.V.HoehndorfR.2020Towards semantic interoperability: Finding and repairing hidden contradictions in biomedical ontologiesbioRxiv2020.05.16.099309. https://doi.org/10.1101/2020.05.16.09930910.1186/s12911-020-01336-2773613133319712Search in Google Scholar

Smith, C.A., & Wicks, P.J. (2008). PatientsLikeMe: Consumer health vocabulary as a folksonomy. AMIA Annual Symposium Proceedings, 2008, 682–686.SmithC.A.WicksP.J.2008PatientsLikeMe: Consumer health vocabulary as a folksonomyAMIA Annual Symposium Proceedings2008682686Search in Google Scholar

Turney, P.D. (2001). Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL. In L. De Raedt & P. Flach (Eds.), Machine Learning: ECML 2001 (Vol. 2167, pp. 491–502). Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-44795-4_42TurneyP.D.2001Mining the Web for Synonyms: PMI-IR versus LSA on TOEFLInDe RaedtL.FlachP.(Eds.),Machine Learning: ECML20012167491502SpringerBerlin Heidelberghttps://doi.org/10.1007/3-540-44795-4_4210.1007/3-540-44795-4_42Search in Google Scholar

Zeng, M.L. (2019). Interoperability. Knowledge Organization, 46(2), 122–146. https://doi.org/10.5771/0943-7444-2019-2-122ZengM.L.2019InteroperabilityKnowledge Organization462122146https://doi.org/10.5771/0943-7444-2019-2-12210.5771/0943-7444-2019-2-122Search in Google Scholar

Zeng, Q., Tse, T., Divita, G., Keselman, A., Crowell, J., Browne, A., Goryachev, S., & Ngo, L. (2007). Term identification methods for consumer health vocabulary development. Journal of Medical Internet Research, 9(1), e4. https://doi.org/10.2196/jmir.9.1.e4ZengQ.TseT.DivitaG.KeselmanA.CrowellJ.BrowneA.GoryachevS.NgoL.2007Term identification methods for consumer health vocabulary developmentJournal of Medical Internet Research91e4https://doi.org/10.2196/jmir.9.1.e410.2196/jmir.9.1.e4187451217478413Search in Google Scholar

eISSN:
2543-683X
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining