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An Analytical Approach to Categorize Knowledge Organization Systems (KOSs) in Digital Content Engineering and Management | ||
| International Journal of Digital Content Management | ||
| مقاله 3، دوره 2، شماره 2، فروردین 2021، صفحه 39-48 اصل مقاله (559.65 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22054/dcm.2021.13063 | ||
| نویسنده | ||
| Maziar Amirhosseini* | ||
| Faculty Member & Assistant Professor, Academic Relations and International Affairs, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran. | ||
| چکیده | ||
| Purpose: The principal purpose of the present article is to analyze the technical mechanisms and the categorization procedure of thesaurus, ontology, and their types in storage and retrieval of digital and non-digital content. The types of knowledge organization systems (KOSs) which are addressed in this article are Roget’s thesaurus, thesauri, Micro, Macro and Meta thesaurus, ontologies, and lower, middle, or upper-level ontologies. The study attempts to demonstrate categorization the procedure through determining the position of KOSs in the context of data, information, and knowledge (DIK) by explaining their engineering mechanisms such as data, information, and knowledge engineering in content storage and retrieval, especially digital content. Method: The research method relies on documented and historical methodology. Findings: As ontologies have taken the highest position amidst KOSs in making digital resources available in a web based environment, it is suggested that Iran and other developing countries use the capacities and capabilities of ontologies, especially in the development of national ontologies, in order to construct their knowledge-based infrastructure and system to achieve high performance in digital content engineering and management. | ||
| کلیدواژهها | ||
| Knowledge Organization Systems (KOSs)؛ Thesauri؛ Ontologies؛ Engineering Mechanism؛ Categorization Procedure | ||
| مراجع | ||
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Ackoff, R. L. (1989). From data to wisdom. Journal of Applied Systems Analysis, 16, 3–9
Aitchison, Jean, Alan Gilchrist and David Bawden. (2000). Thesaurus Construction and Use: A Practical Manual. 4 ed., London: Aslib.
Amirhosseini, Maziar. (2008). Dialectic Scheme in Thesaurus Creation. Library Philosophy and Practice.
Amirhosseini, Maziar (2021) A dialectic perspective of the evolution of thesauri and ontologies based on historical progress of the related ideas. Knowledge Organization (in press)
Arano, S. (2005). Thesauruses and ontologies. Hipertext.net, num. 3, 2005. Retrieved from http://www.hipertext.net
Biagetti, M. T. (2021) Ontologies (as knowledge organization systems). In Edited by Birger Hjørland and Claudio Gnoli, Encyclopedia of Knowledge Organization. International society for organization of knowledge (ISKO) https://www.isko.org/cyclo/ontologies
British Standards Institution. (2005-8). BS 8723: 2005-8. Structured Vocabularies for Information Retrieval - Guide. (Published in five separate parts between 2005 and 2008), London: British Standards Institution.
Cat, Jordi. (2017). The unity of science. In Edward N. Zalta (ed.). Stanford Encyclopedia of Philosophy. https://plato.stanford.edu/entries/scientific-unity/#ConcWhyUnitWhatDiffDoesItRealMake.
Chen, M., Ebert, D., Hagen, H., Laramee, R. S., Liere, R. v., Ma, K.-L., Ribarsky, W., Scheuermann, G. & Silver, D. (2009). Data, Information, and Knowledge in Visualization. IEEE Computer Graphics and Applications, 29, 12-19.
Dombayci, Canan. (2019). Conceptual Modelling for Integrated Decision-Making in Process Systems. Ph.D Dissertation. Department d’Enginyeria Quimica – DEQ, Universitat Politecnica de Catalunya – UPC. Barcelona, Spain.
Dragoni, Mauro, Célia da Costa Pereira, and Andrea GB Tettamanzi. (2012). A Conceptual Representation of Documents and Queries for Information Retrieval Systems by Using Light Ontologies. Expert Systems with applications, 39 (12), 10376–88.
Foskett, D.J. (1980). Thesaurus. In A. Kent and H. Lancour (Eds.), Encyclopedia of Library and Information Science vol. 30, pp. 416-463.
Golub, K., Schmiede, R. & Tudhope, D. (2019) Recent applications of Knowledge Organization Systems: introduction to a special issue. International Journal on Digital Libraries, 20, 205–207. https://doi.org/10.1007/s00799-018-0264-8
Gruber, Thomas R, L. Liu, O¨ zsu, and M.M. Tamer. (2009). “Ontology.” In the Encyclopedia of Database Systems. Berlin Heidelberg: Springer-Verlag.
Hjørland, Birger. (2008). What Is Knowledge Organization (KO)?. Knowledge Organization , 35 (2/3), 86–102.
Hodge, Gail. (2000). Systems of Knowledge Organization for Digital Libraries: Beyond Traditional Authority Files. Washington: The Digital Library Federation, http://www.clir.org/pubs/abstract/pub91abst.html.
International Organization for Standardization (ISO) (2011). ISO/FDIS 25964-1: Information and Documentation -Thesauri and Interoperability with other Vocabularies - Part 1: Thesauri for Information Retrieval. Geneva: International Organization for Standardization.
International Organization for Standardization (ISO). (2013) ISO/FDIS 25964-2: Information and Documentation -Thesauri and Interoperability with other Vocabularies - Part 2: Part 2: Interoperability with other vocabularies. Geneva: International Organization for Standardization.
Jin, Z (2018) Ontology-Oriented Interactive Environment Modeling in: Chapter 4. In Environment Modeling-Based Requirements Engineering for Software Intensive Systems. San Francisco: Morgan Kaufmann, Pp 45-67.
Lancaster, F. W. (1972). Vocabulary Control for Information Retrieval. Washington: Information Resources Press.
Mascardi, V., V. Cord, and P. Rosso. (2007). A comparison of upper ontologies. In Matteo Baldoni, Antonio Boccalatte, Flavio De Paoli, Maurizio Martelli, and Viviana Mascardi, editors, WOA, 55–64. Seneca Edizioni Torino.
Mazzocchi, Fulvio. (2018). Knowledge organization system (KOS). Knowledge Organization 45 (1), 54-78. Also available in ISKO Encyclopedia of Knowledge Organization, eds. Birger Hjørland and Claudio Gnoli. Retrieved from http://www.isko.org/cyclo/kos
National Information Standards Organization. (2003). ANSI/NISO Z39.19 (2003) Guidelines for the Construction, Format, and Management of Monolingual Thesauri. Bethesda: NISO.
Olensky, Marlies. (2010). Semantic interoperability in Europeana: An Examination of CIDOC CRM in Digital Cultural Heritage Documentation. Bulletin of IEEE Technical Committee on Digital Libraries, 6 (2). Retrieved from https://web.archive.org/web/20130620181231/https://www.ieee-tcdl.org/Bulletin/v6n2/Olensky/olensky.html.
Soergel, Dagobert (2009) Knowledge Organization Systems: Overview. Retrieved from http://www.dsoergel.com/SoergelKOSOverview.pdf
Tudhope, D. & Nielsen, M. L. (2006) Introduction to Knowledge Organization Systems and Services. New Review of Hypermedia and Multimedia, 12 (1), 3-9.
Zeng, Marcia Lei. (2008). Knowledge Organization Systems (KOS). Knowledge Organization 35 (2-3), 160-82.
Zeng, Marcia Lei. (2019). Interoperability. Knowledge Organization, 46 (2), 122-146. Also available in Hjørland, Birger and Gnoli, Claudio eds. ISKO Encyclopedia of Knowledge Organization. http://www.isko.org/cyclo/interoperability
Zeng, Marcia Lei; Hong, Yi; Clunis, Julaine; He, Shaoyi; Coladangelo, L. P. (2020). Implications of Knowledge Organization Systems for Health Information Exchange and Communication during the COVID-19 Pandemic. Data and Information Management , 4(3), 148-170. | ||
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