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Knowledge Organization and Representation under the AI Lens

   | Apr 22, 2020

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Bench-Capon, T.J.M. (1990). Knowledge representation: An approach to Artificial Intelligence. London: Academic Press.Bench-CaponT.J.M.1990Knowledge representation: An approach to Artificial IntelligenceLondonAcademic PressSearch in Google Scholar

Berners-Lee, T., Handler, J., & Lassila, O. (2001). The Semantic Web. Scientific American, Featured article. DOI: 10.1038/scientificamerican0501-34Berners-LeeT.HandlerJ.LassilaO.2001The Semantic WebScientific American, Featured article10.1038/scientificamerican0501-34Open DOISearch in Google Scholar

Brachman, R.J., & Levesque, H.J. (Ed.). (1985). Readings in knowledge representation. Los Altos, CA: Morgan Kauffman Publishers.BrachmanR.J.LevesqueH.J.(Ed.).1985Readings in knowledge representationLos Altos, CAMorgan Kauffman PublishersSearch in Google Scholar

Castano, S., & Varese, G. (2011). Trust-based techniques for collective intelligence through folk-sonomy coordination. In Next Generation Data Technologies for Collective Computational Intelligence, ed. Nik Bessis and Fatos Xhafa, Chapter 4, 87–112. Berlin: Springer-Verlag.CastanoS.VareseG.2011Trust-based techniques for collective intelligence through folk-sonomy coordinationInNext Generation Data Technologies for Collective Computational Intelligenceed.BessisNikXhafaFatosChapter 4,87112BerlinSpringer-Verlag10.1007/978-3-642-20344-2_4Search in Google Scholar

Chen, M., Liu, X.Z., & Qin, J. (2008). Semantic relation extraction from socially-generated tag: A methodology for metadata extraction. In Proceedings of the Dublin Core International Conference, Berlin, Germany. http://dcpapers.dublincore.org/pubs/article/view/924/920ChenM.LiuX.Z.QinJ.2008Semantic relation extraction from socially-generated tag: A methodology for metadata extractionInProceedings of the Dublin Core International ConferenceBerlin, Germanyhttp://dcpapers.dublincore.org/pubs/article/view/924/920Search in Google Scholar

Davis, R., Shrobe, H., & Szolovits, P. (1993). What is a knowledge representation? AI Magazine, 14, 17–33. Retrieved from http://groups.csail.mit.edu/medg/ftp/psz/k-rep.htmlDavisR.ShrobeH.SzolovitsP.1993What is a knowledge representation?AI Magazine141733Retrieved from http://groups.csail.mit.edu/medg/ftp/psz/k-rep.htmlSearch in Google Scholar

Doerr, M., Stefan, G., Steffen, H., Antoine, I., Carlo, M., & van de Sompel, H. (2010). The Europeana Data Model (EDM). In World Library and Information Congress: 76th IFLA General Conference and Assembly 10–15 August 2010, Gothenburg, Sweden. https://core.ac.uk/download/pdf/34626222.pdfDoerrM.StefanG.SteffenH.AntoineI.CarloM.van de SompelH.2010The Europeana Data Model (EDM)InWorld Library and Information Congress: 76th IFLA General Conference and Assembly10–15 August 2010Gothenburg, Swedenhttps://core.ac.uk/download/pdf/34626222.pdfSearch in Google Scholar

Feibleman, J.K. (1954). Theory of intergrative levels, The British Journal for the Philosophy of Science, 5(17), 59–66. https://doi.org/10.1093/bjps/V.17.59FeiblemanJ.K.1954Theory of intergrative levelsThe British Journal for the Philosophy of Science5175966https://doi.org/10.1093/bjps/V.17.5910.1093/bjps/V.17.59Search in Google Scholar

Fisher, D.H. (1987). Knowledge acquisition via incremental conceptual clustering. Mach Learn 2, 139–172. https://doi.org/10.1007/BF00114265FisherD.H.1987Knowledge acquisition via incremental conceptual clusteringMach Learn2139172https://doi.org/10.1007/BF0011426510.1007/BF00114265Search in Google Scholar

Gene Ontology Consortium. (2019). The Gene Ontology and the scientific literature. http://geneontology.org/docs/literature/Gene Ontology Consortium2019The Gene Ontology and the scientific literaturehttp://geneontology.org/docs/literature/Search in Google Scholar

Gruber, T.R. (1993). A translation approach to portable ontologies. Knowledge Acquisition, 5(2), 199–220. https://doi.org/10.1006/knac.1993.1008GruberT.R.1993A translation approach to portable ontologiesKnowledge Acquisition52199220https://doi.org/10.1006/knac.1993.100810.1006/knac.1993.1008Search in Google Scholar

Haug, P.J. (1993). Uses of diagnostic expert systems in clinical care. Proceedings. Symposium on Computer Applications in Medical Care, 379–383.HaugP.J.1993Uses of diagnostic expert systems in clinical careProceedings. Symposium on Computer Applications in Medical Care379383Search in Google Scholar

Hayes, P.J. (1974). Some problems and non-problem in representational theory. In Readings in Knowledge Representation, ed. Ronald J. Brachman and Hector J. Levesque. Los Altos, CA: Morgan Kaufmann.HayesP.J.1974Some problems and non-problem in representational theoryInReadings in Knowledge Representationed.BrachmanRonald JLevesqueHector JLos Altos, CAMorgan KaufmannSearch in Google Scholar

Hjørland, B. (2008). What is knowledge organization (KO)? Knowledge Organization, 35(2), 86–101. DOI: 10.5771/0943-7444-2008-2-3-86HjørlandB.2008What is knowledge organization (KO)?Knowledge Organization3528610110.5771/0943-7444-2008-2-3-86Open DOISearch in Google Scholar

Hoffmann, A. (1998). Paradigms of Artificial Intelligence: A methodological & computational analysis. New York: Springer.HoffmannA.1998Paradigms of Artificial Intelligence: A methodological & computational analysisNew YorkSpringerSearch in Google Scholar

Humphrey, S. (1989). MedIndEx system: medical indexing expert system. Information Processing & Management, 25(1), 73–88. https://doi.org/10.1016/0306-4573(89)90092-7HumphreyS.1989MedIndEx system: medical indexing expert systemInformation Processing & Management2517388https://doi.org/10.1016/0306-4573(89)90092-710.1016/0306-4573(89)90092-7Search in Google Scholar

Ingwersen P. (1994) Polyrepresentation of information needs and semantic entities elements of a cognitive theory for information retrieval interaction. In: Croft B.W., van Rijsbergen C.J. (eds) SIGIR ’94. Springer, London.IngwersenP.1994Polyrepresentation of information needs and semantic entities elements of a cognitive theory for information retrieval interactionIn:CroftB.W.van RijsbergenC.J.(eds)SIGIR ’94SpringerLondon10.1007/978-1-4471-2099-5_11Search in Google Scholar

ISO. (2013). Information and documentation – Thesauri and interoperability with other vocabularies. Part 2: Interoperability with other vocabularies. Geneva, Switzerland: ISO.ISO2013Information and documentation – Thesauri and interoperability with other vocabularies. Part 2: Interoperability with other vocabulariesGeneva, SwitzerlandISOSearch in Google Scholar

Kubat, M., Pfurtscheller, G., & Flotzinger, D. (1994). AI-based approach to automatic sleep classification. Biol. Cybern. 70, 443–448. https://doi.org/10.1007/BF00203237KubatM.PfurtschellerG.FlotzingerD.1994AI-based approach to automatic sleep classificationBiol. Cybern.70443448https://doi.org/10.1007/BF0020323710.1007/BF002032378186305Search in Google Scholar

Lagoze, C., & Hunter, J. (2001). The ABC ontology and model. International Conference on Dublin Core and Metadata Applications, pp. 160–176. Retrieved from https://dcpapers.dublincore.org/pubs/article/view/655/651LagozeC.HunterJ.2001The ABC ontology and modelInternational Conference on Dublin Core and Metadata Applications160176Retrieved from https://dcpapers.dublincore.org/pubs/article/view/655/651Search in Google Scholar

NCBI. (2018). Taxonomy. https://www.ncbi.nlm.nih.gov/taxonomyNCBI2018Taxonomyhttps://www.ncbi.nlm.nih.gov/taxonomySearch in Google Scholar

Qin, J., Yu, B., & Wang, L.Y. (2018). Knowledge node and relation detection. In: Networked Knowledge Organization Systems (NKOS) Workshop at the Dublin Core International Conference DC-2018, Porto, Portugal, September 13, 2018. http://ceur-ws.org/Vol-2200/paper3.pdfQinJ.YuB.WangL.Y.2018Knowledge node and relation detectionIn:Networked Knowledge Organization Systems (NKOS) Workshop at the Dublin Core International Conference DC-2018Porto, PortugalSeptember 13, 2018http://ceur-ws.org/Vol-2200/paper3.pdfSearch in Google Scholar

Qin, J., & Zou, N. (2017). Structures and relations of knowledge nodes: Exploring a knowledge network of disease from precision medicine research publications. Proceedings of iConference 2017 (pp. 56–65). https://doi.org/10.9776/17009QinJ.ZouN.2017Structures and relations of knowledge nodes: Exploring a knowledge network of disease from precision medicine research publicationsProceedings of iConference20175665https://doi.org/10.9776/17009Search in Google Scholar

Qin, J., & Paling, S. (2001). Converting a controlled vocabulary into an ontology: The case of GEM. Information Research, 6(2). http://InformationR.net/ir/6-2/paper94.html (January).QinJ.PalingS.2001Converting a controlled vocabulary into an ontology: The case of GEMInformation Research62http://InformationR.net/ir/6-2/paper94.html (January).Search in Google Scholar

Qin, J. (2002). Evolving paradigms of knowledge representation and organization: A comparative study of classification, XML/DTD, and Ontology. Proceedings of the Seventh International Society for Knowledge Organization Conference, July 10–12, 2002, Granada, Spain, 465–471. Würzburg, Germany: Ergon. http://jianqin.metadataetc.org/wp-content/uploads/2019/04/qin_isko2002.pdfQinJ.2002Evolving paradigms of knowledge representation and organization: A comparative study of classification, XML/DTD, and OntologyProceedings of the Seventh International Society for Knowledge Organization ConferenceJuly 10–12, 2002Granada, Spain465471Würzburg, GermanyErgonhttp://jianqin.metadataetc.org/wp-content/uploads/2019/04/qin_isko2002.pdfSearch in Google Scholar

United States. President’s Science Advisory Committee. (1963). The responsibilities of the technical community and the government in the transfer of information: A report of the President’s Science Advisory Committee. http://garfield.library.upenn.edu/papers/weinbergreport1963.pdfUnited States. President’s Science Advisory Committee1963The responsibilities of the technical community and the government in the transfer of information: A report of the President’s Science Advisory Committeehttp://garfield.library.upenn.edu/papers/weinbergreport1963.pdfSearch in Google Scholar

Toms, E. (2019). Artificial intelligence and information science? Discussion thread from ASIST Open Forum. https://community.asist.org/communities/community-home/digestviewer/viewthread?MessageKey=7cc767bb-dfe3-4ff6-ab5c-959dbe8fcf58&CommunityKey=4eed61bcfb41-4dd8-9234-fa5fa9f23c20&tab=digestviewer#bm7cc767bb-dfe3-4ff6-ab5c-959dbe8fcf58TomsE.2019Artificial intelligence and information science? Discussion thread from ASIST Open Forumhttps://community.asist.org/communities/community-home/digestviewer/viewthread?MessageKey=7cc767bb-dfe3-4ff6-ab5c-959dbe8fcf58&CommunityKey=4eed61bcfb41-4dd8-9234-fa5fa9f23c20&tab=digestviewer#bm7cc767bb-dfe3-4ff6-ab5c-959dbe8fcf58Search in Google Scholar

Turing, A.M. (1952). The chemical basis of morphogenesis. Philosophical Transactions of the Royal Society of London B, 237(641), 37–72.TuringA.M.1952The chemical basis of morphogenesisPhilosophical Transactions of the Royal Society of London B237641377210.1098/rstb.1952.0012Search in Google Scholar

Yang, Y., & Chute, C.G. (1994). An application of Expert Network to clinical classification and MEDLINE indexing. Proceedings. Symposium on Computer Applications in Medical Care, 157–161. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2247915/pdf/procascamc00001-0175.pdfYangY.ChuteC.G.1994An application of Expert Network to clinical classification and MEDLINE indexingProceedings. Symposium on Computer Applications in Medical Care157161https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2247915/pdf/procascamc00001-0175.pdfSearch in Google Scholar

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