تیلور، آرلین جی. (1390). سازماندهی اطلاعات. مترجم محمدحسین دیانی، تهران: کتابخانه رایانه ای
حسن زاده، محمد؛ حسینی، مهدی. (1386). بررسی عملی و نظری کاربرد نظام ساده سازماندهی دانش در زبان فارسی. همایش ملی اصطلاحنامه و کاربرد آن در محیط الکترونیک؛ قم.
زاهدی، راضیه ؛ فرشید دانش و علیرضا اسفندیاری مقدم. (1389). سازماندهی محتوای کتابخانه های دیجیتالی با استفاده از نظام ساده سازماندهی دانش. کتابداری و اطلاع رسانی14(3): 83-110.
فتاحی، رحمت الله. (1380). چالش‌های سازماندهی منابع دانش در آغاز قرن بیست و یکم با نگاهی بر دانش فهرستنویسی در ایران. فصنامه کتاب 12(4): 59-83.
کفاشان، مجتبی؛ فتاحی، رحمت الله. (1391). نظامهای نوین سازماندهی دانش وب معنایی: هستی شناسی و ابزارهای سازماندهی دانش عینی. کتابداری و اطلاع رسانی 54: 70-45.
Abdul Mana, N. A., S Bechhofer and R. Stevens. (2012). Common Slips in SKOS Vocabularies. CEUR Workshop Proceedings Volume 849, 11p. OWL: Experiences and Directions Workshop 2012, OWLED 2012; Heraklion, Crete; Greece.
Abdul Mana, N. A., S Bechhofer and R. Stevens. (2012). The current state of SKOS vocabularies on the Web. Proceedings of the ninth Extended Semantic Web Conference (ESWC2012). Ninth Extended Semantic Web Conference, ESWC 2012; Heraklion, Crete; Greece.
Albertoni, R., M.D., Martino and P. Podest. (2015). A linkset quality metric measuring multilingual gain in SKOS Thesauri. CEUR Workshop Proceedings. Volume 1376. Second Workshop on Linked Data Quality. Slovenia.
Albertoni, R., De Martino, M., & Podesta, P. (2018). Quality measures for skos: ExactMatch linksets: an application to the thesaurus framework LusTRE. DATA TECHNOLOGIES AND APPLICATIONS, 52(3), 405-423.
Ameri, F., & Yoder, R. (2019, September). A Thesaurus-Guided Method for Smart Manufacturing Diagnostics. In IFIP International Conference on Advances in Production Management Systems (pp. 722-729). Springer, Cham.
Avila, R., Santos, S., Araujo, D., Vidal, V., & Macêdo, J. (2017). Semantic Links Using SKOS Predicates. Procedia computer science, 112, 467-473.
Baker, T. and et al. (2013). Key choices in the design of Simple Knowledge Organization System(SKOS). Web Semantics: Science, Services and Agents on the World Wide Web, 20, 35–49.
Baumeister, R. F. and M. R. Leary (1997). Writing narrative literature reviews. Review of general psychology 1(3): 311-320.
Belk, S., G. Wohlgenannt and A. Polleres. (2015). Exploring and Exploiting (?) the Awkward Connections between SKOS and OWL. 14th International Semantic Web Conference, ISWC 2015; Bethlehem; United States.
Bellotto, A., & Bettella, C. (2019, January). Metadata as semantic palimpsests: The case of PHAIDRA@ UNIPD. In Italian Research Conference on Digital Libraries (pp. 167-184). Springer, Cham.
Binding, C. (2010, May). Implementing archaeological time periods using CIDOC CRM and SKOS. In Extended Semantic Web Conference (pp. 273-287). Springer, Berlin, Heidelberg.
Blumauer, A. (2014). SKOS as a Key Element in Enterprise Linked Data Strategies. 13th International Semantic Web Conference, ISWC 2014; Riva Del Garda; Italy.
Brereton, Pearl et al. 2007. “Lessons from Applying the Systematic Literature Review Process within the Software Engineering Domain.” 80(4): 571–83.
Cagdas, V. and E. Stubkjær. (2015). A SKOS vocabulary for Linked Land Administration: Cadastre and LandAdministration Thesaurus. Land Use Policy, 49, 668–679.
Car, N. J., Ip, A., & Druken, K. (2017, May). netCDF-LD SKOS: Demonstrating linked data vocabulary use within netCDF-compliant files. In International Symposium on Environmental Software Systems (pp. 329-337). Springer, Cham.
Conway, M., Khojoyan, A., Fana, F., Scuba, W., Castine, M., Mowery, D., ... & Jupp, S. (2016). Developing a web-based SKOS editor. Journal of biomedical semantics, 7(1), 5.
Čerba, O., Charvát, K., Mildorf, T., Bērziņš, R., Vlach, P., & Musilová, B. (2016). SDI4Apps Points of Interest Knowledge Base. In Progress in Cartography (pp. 229-237). Springer, Cham.
Conway, M. and et al. (2016). Developing a web-based SKOS. Editor.Conway et al. Journal of Biomedical Semantics, 7:5.
Cox, S. J. D., J.Yu. & T. Rankine. (2014). SISSVoc
: A Linked Data API for access to SKOS vocabularies. Semantic Web, 7(1), 9-24.
Cuzzola, J., Bagheri, E., & Jovanovic, J. (2018). UMLS to DBPedia link discovery through circular resolution. Journal of the American Medical Informatics Association, 25(7), 819-826.
Gerbe, O., & Kerhervé, B. (2010, May). A model-driven approach to SKOS implementation. In 2010 Fifth International Conference on Internet and Web Applications and Services (pp. 484-488). IEEE.
Jonquet, C., Toulet, A., Arnaud, E., Aubin, S., Yeumo, E. D., Emonet, V., ... & Larmande, P. (2018). AgroPortal: A vocabulary and ontology repository for agronomy. Computers and Electronics in Agriculture, 144, 126-143.
Morais, M. W. D., & Ramalho, R. A. S. (2019). Representação em SKOS de um microtesauro de conhecimentos estratégicos nas organizações. Perspectivas em Ciência da Informação, 24(4), 187-198.
Haslhofer, B., F. Martins, J. Magalhães. (2013). Using SKOS Vocabularies for Improving Web Search. Proceedings of the 22nd International Conference on World Wide Web, 1253-1258
Hidalgo-Delgado, Y., Senso, J. A., Leiva-Mederos, A., & Hipola, P. (2016). Management of archival materials with Linked Data and federated queries. REVISTA ESPANOLA DE DOCUMENTACION CIENTIFICA, 39(3).
Hitzler, P. and K. Janowicz. (2013).
TheSoz: A SKOS Representation of theThesaurus for the Social Sciences. Semantic Web, 4(3), 257-263.
Isaac, A, Summers, E. (2009). SKOSSimpleKnowledgeOrganizationSystemPrimer 2009, <http://www.w3.org/TR/skos-primer/> (accessed:1 May 2016).
Kaltman, E., Wardrip-fruin, N., Mastroni, M., Lowood, H., De groat, G., Edwards, G., ... & Caldwell, C. (2016). Implementing controlled vocabularies for computer game platforms and media formats in SKOS. Journal of Library Metadata, 16(1), 1-22.
Karanth, P. (2016, September). Design of a Framework for Knowledge Analytics. In 2016 22nd Annual International Conference on Advanced Computing and Communication (ADCOM) (pp. 44-47). IEEE.
Kopácsi, S., Preza, J. L., & Hudak, R. (2016, November). Development of a Classification Server to Support Metadata Harmonization in a Long Term Preservation System. In Research Conference on Metadata and Semantics Research (pp. 262-277). Springer, Cham.
Kopácsi, S., Hudak, R., & Ganguly, R. (2017). Implementation of a classification server to support metadata organization for long term preservation systems. Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare, 70(2), 225-243.
Kitchenham, B., S. Charters. (2007). Guidelines for Performing Systematic LiteratureReviews in Software Engineering.Tech. Rep.Keele University and Durham Uni-versity Joint Report.
Klímek, J., Kučera, J., Nečaský, M., & Chlapek, D. (2018). Publication and usage of official Czech pension statistics Linked Open Data. Journal of Web Semantics, 48, 1-21.
Lanucara, S., Oggioni, A., Modica, G., & Carrara, P. (2017, July). Interoperable sharing and visualization of geological data and instruments: a proof of concept. In International Conference on Computational Science and Its Applications (pp. 584-599). Springer, Cham.
Ma, X., and et al. (2011). A SKOS-based multilingual thesaurus of geological time scale for interoperability of online geological maps. Computers &Geosciences, 37, 1602–1615.
Mader, C., B. Haslhofer and A. Isaac. (2012). Finding Quality Issues in SKOS Vocabularies. Second International Conference on Theory and Practice of Digital Librarie.
Martin-Moncunill, D., Gaona-García, P. A., Gordillo-Orjuela, K., & Montenegro-Marin, C. E. (2016, September). User Experiences in Virtual Reality Environments Navigation Based on Simple Knowledge Organization Systems. In Workshop on Engineering Applications (pp. 39-49). Springer, Cham.
Martínez-González, M. M., & Alvite-Díez, M. L. (2019). Thesauri and Semantic Web: Discussion of the evolution of thesauri toward their integration with the Semantic Web. IEEE Access, 7, 153151-153170.
Mastora, A., Peponakis, M., & Kapidakis, S. (2017). SKOS concepts and natural language concepts: An analysis of latent relationships in KOSs. Journal of Information Science, 43(4), 492-508.
Mikhalenko, P. (2005). Introducing SKOS. Available from:
http://www.xml.com/pub/a/2005/06/22/skos.html
Miranda, S., F. Orciuoli and D.G. Sampson.) 2016(. A SKOS-based framework for Subject Ontologies to improve learningexperiences. Computers in Human Behavior 61, 609-621.
Mochon, G., Méndez Rodríguez, E. M., & Bueno de la Fuente, G. (2017). 27 pawns ready for action: A multi-indicator methodology and evaluation of thesaurus management tools from a LOD perspective.
Mochon Bezares, G., Mendez Rodriguez, E. M., & Bueno de la Fuente, G. (2020). Normalized conversion (SKOS) of interoperable knowledge organization systems on the Web. INVESTIGACION BIBLIOTECOLOGICA, 34(82), 53-86.
Palmonari, M. (2011). AERIA: Extending SKOS for the practical, yetwell-founded, representation and integration ofWeb schemas in the large. JOURNAL OF EMERGING TECHNOLOGIES IN WEB INTELLIGENCE, 3(3), 227-238.
Peponakis, M., Mastora, A., Kapidakis, S., & Doerr, M. (2019). Expressiveness and machine processability of Knowledge Organization Systems (KOS): an analysis of concepts and relations. International Journal on Digital Libraries, 20(4), 433-452.
Plini, P., Di Franco, S., De Santis, V., Uricchio, V. F., De Carlo, D., D'Arpa, S., ... & Albertoni, R. (2010). A joint initiative to support the semantic interoperability within the GIIDA project. arXiv preprint arXiv:1012.0160.
Putkey, T. (2011). Using SKOS to Express Faceted Classification onthe Semantic Web.Library Philosophy and Practice. (Ejournal). Paper 620.http://digitalcommons.unl.edu/libphilprac/620.
Rodríguez-Enríquez, C. A., Alor-Hernández, G., Mejia-Miranda, J., Sánchez-Cervantes, J. L., Rodríguez-Mazahua, L., & Sánchez-Ramírez, C. (2016). Supply chain knowledge management supported by a simple knowledge organization system. Electronic Commerce Research and Applications, 19, 1-18.
Rosati, I., Bergami, C., Stanca, E., Roselli, L., Tagliolato, P., Oggioni, A., ... & Basset, A. (2017). A thesaurus for phytoplankton trait-based approaches: Development and applicability. Ecological informatics, 42, 129-138.
Soergel, D. (2008).
Knowledge Organization Systems: Overview.online available in
https://www.posccaesar.org/rawattachment/wiki/.../SoergelKOS.pdf
Singthongchai, J., Niwattanakul, S., & Chamnongsri, N. (2016). Semantic Term Weighting Method by Using Correlation Coefficient. International Information Institute (Tokyo). Information, 19(1), 91.
Subirats, I., Solodovnik, I., Budroni, P., Ganguly, R., & Hudak, R. (2017). Metadata and controlled vocabularies alignment in PHAIDRA international persistent ecosystem. Information Services & Use, 37(1), 25-32.
Sun, W. and et al. (2011). Design and Implementation of a SOLR Plug-in for Chinese-English Cross-Language Query Expansion Based on SKOS Thesauri. Informatics in Control, Automation and Robotics. 2, 359-367.
Sun, H. and et al. (2013). Assessing and Improving SKOS Mapping Quality. Sixth International Workshop on Semantic Web Applications and Tools for Life Sciences. CEUR Workshop Proceedings. Volume 1114.
Suominen, O. and C. Mader. (2014). Assessing and Improving the Quality of SKOS Vocabularies. J Data Semant, 3, 47–73.
Suominen, O. and E. Hyvonen. (2012). Improving the Quality of SKOS Vocabularieswith Skosify. 18th International Conference on Knowledge Engineering and Knowledge Management, Galway City; Ireland
Tao, C and et al. (2011).
Proposed SKOS Extensions for BioPortal Terminology Services. Joint International Semantic Technology Conference, JIST Hangzhou; China, Volume 7185 of the series
Lecture Notes in Computer Science , 342-349.
Trypuz, R., Kulicki, P., Grądzki, P., Trójczak, R., & Wierzbicki, J. (2016, November). Machine-understandable and processable representation of UNECE standards for meat. Bovine Meat-Carcases and Cuts case study. In Research Conference on Metadata and Semantics Research (pp. 144-154). Springer, Cham.
Vârlan, S. E. (2010, December). Creating semantic relations for user manuals on semantic web using SKOS. In Proceedings of the 15th WSEAS international conference on Applied mathematics (pp. 97-100). World Scientific and Engineering Academy and Society (WSEAS).
Yang, Y., J. Xiong, and S. Wang. (2011). A Semantic Search Engine Based on SKOS ModelOntology in Agriculture. Fourth IFIP International Conference on Computer and Computing Technologies in Agriculture and the fourth Symposium on Development of Rural Information. Volume 344 AICT, Issue PART 1, 110-118.
Wada, M. (2016). A SKOS Representation of Synthesis in Hierarchy Classification Schemes Based on Structure-expression Style Theory. LIBRARY AND INFORMATION SCIENCE, (76), 1-
Wada, M. (2017). Comparison of Studies on SKOS Representation of Classification Scheme: Differences in Representation and Their Causes. LIBRARY AND INFORMATION SCIENCE, (78), 55-77.
Waterfall, A., Bennett, V., Donegan, S., Juckes, M., Kershaw, P., Petrie, R., ... & Wilson, A. (2016, August). Big Data Challenges Indexing Large-Volume, Heterogeneous EO Datasets for Effective Data Discovery. In Living Planet Symposium (Vol. 740, p. 29).
Wenige, L., Berger, G., & Ruhland, J. (2018, October). SKOS-based concept expansion for LOD-enabled recommender systems. In Research Conference on Metadata and Semantics Research (pp. 101-112). Springer, Cham.
Wenige, L., & Ruhland, J. (2019). Similarity-based knowledge graph queries for recommendation retrieval. Semantic Web, 10(6), 1007-1037.
Wright, D. G., K. A. Harrison and J. Watkins. (2015). Automated tagging of environmental data using a novel SKOSformatted environmental thesaurus. Earth Sci Inform, 8:103–110.
Zeng, M. L., & Mayr, P. (2019). Knowledge Organization Systems (KOS) in the Semantic Web: a multi-dimensional review. International Journal on Digital Libraries, 20(3), 209-230.
Zhang, Y., Liu, W., Ding, N., Wang, X., & Tan, Y. (2015, August). An event ontology description framework based on skos. In 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom) (pp. 1774-1779). IEEE.
Zhu, B., Li, X., & Sancho, J. B. (2017, December). A novel asymmetric semantic similarity measurement for semantic job matching. In 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) (pp. 152-157). IEEE
