Smart metadata for Polish cultural institutions. An analysis of foreign literature

Authors

  • Jolanta Szulc Uniwersytet Sąski

DOI:

https://doi.org/10.24917/20811861.22.47

Keywords:

smart metadata, archives, libraries, museums (ALM) intelligent metadata, artificial intelligence, Polish cultural institutions

Abstract

The article presents the results of a literature review on intelligent metadata recorded in selected databases (LISTA, Scopus, Web of Science). As part of the terminological discussion, the term "smart metadata" is defined and the adopted methodology of literature research is explained. The results of quantitative and qualitative research and conclusions from the literature review are presented. Particular attention is paid to the role of intelligent metadata in artificial intelligence and the practical applications of intelligent metadata in archives, libraries, and museums (ALM). The conclusion highlights the research gaps in studies on intelligent metadata used in Polish cultural institutions.

References

Ali M., Scandurra P., Moretti F., Blaso L., Leccisi M., Leccese F., From Big Data to Smart Data-centric Software Architectures for City Analytics: the case of the PELL Smart City Platform, [w:] 2021 IEEE International Conference on Smart Data Services (SMDS), Chicago 2021, s. 95–104, https://doi.org/10.1109/SMDS53860.2021.00023.

Ameri S., Vahdati S., Lange C., Exploiting interlinked research metadata, [w:] Research and Advanced Technology for Digital Libraries (TPDL), vol. 10450, red. J. Kamps, G. Tsakonas, Y. Manolopoulos, L. Iliadis, I. Karydis, Springer, Cham, 2017, s. 3–14, https://doi.org/10.1007/978-3-319-67008-9_1.

Ansari M.A., Gautam J.N., Fatima S., Library automation in Indian central universities: Issues and challenges, „Cataloging & Classification Quarterly” 2017, vol. 55 iss. 4, s. 247-265, https://doi.org/10.1080/01639374.2017.1302541.

Badarinza I., Sterca A., Bufnea D., Niculescu V., Integration challenges for a web-based personalized query suggestions system in information retrieval, [w:] 2021 IEEE/ACIS 19th International Conference on Software Engineering Research, Management and Applications (SERA), Kanazawa 2021, s. 2–9, https://doi.org/10.1109/SERA51205.2021.9509276.

Bautista A.C., Hernández Y.Y.F., García A.C., Proposal for adapting the cataloging of bindings to the MARC format, „Cataloging & Classification Quarterly” 2018, vol. 56, iss. 5–6, s. 530–552, https://doi.org/10.1080/01639374.2018.1503623.

Berendt B., Dingel K., Hauser C., Intelligent bibliography creation and markup for authors: A step towards interoperable digital libraries, „Research and Advanced Technology for Digital Libraries” 2006, vol. 4172, s. 495–499.

Bhardwaj A., Mercier D., Dengel A., Ahmed S., DeepBIBX: Deep learning for image based bibliographic data extraction, [w:] Neural Information Processing. 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part II, vol. 10635, red. D. Liu, S. Xie, Y. Li, D. Zhao, E.S. El-Alfy, Springer, Cham, 2017, s. 286–293, https://doi.org/10.1007/978-3-319-70096-0_30.

Bruce T.R., Hillmann D.I., The continuum of metadata quality: Defining, expressing, exploiting, [w:] Metadata in practice, red. D.I. Hillmann, E.L. Westbrooks, ALA Editions, Chicago 2004, [on-line:] https://ecommons.cornell.edu/items/b511c75c-849f-4b52-930e-e3a9f0cba043 – 1.12.2024.

Czakon W., Metodyka systematycznego przeglądu literatury, „Przegląd Organizacji”, marzec 2011, s. 57–61, https://doi.org/10.33141/po.2011.03.13.

Fadili H., Jouis C., Towards an Automatic Analyze and Standardization of Unstructured Data in the Context of Big and Linked Data, [w:] Proceedings of the 8th International Conference on Management of Digital Ecosystems (MEDES), New York 2016, s. 223-230, https://doi.org/10.1145/3012071.3012103.

Fensel A., Tomic D.K., Koller A., Contributing to appliances’ energy efficiency with Internet of Things, smart data and user engagement, „Future Generation Computer Systems” 2017, vol. 76, s. 329–338, https://doi.org/10.1016/j.future.2016.11.026.

Greenberg J., Big metadata, smart metadata, and metadata capital: Toward greater synergy between data science and metadata, „Journal of Data and Information Science” 2017, vol. 2, iss. 3, s. 19–36, https://doi.org/10.1515/jdis-2017-0012.

Kilias T., Löser A., Andritsos P., INDREX: In-database relation extraction, „Information Systems” 2015, vol. 53, s. 124–144, https://doi.org/10.1016/j.is.2014.11.006.

KRONIK@ – Krajowe Repozytorium Obiektów Nauki i Kultury, Ministerstwo Cyfryzacji, 2024, [on-line:] https://www.gov.pl/web/cyfryzacja/kronik-krajowe-repozytorium-obiektow-nauki-i-kultury – 1.12.2024.

Kunze J., Metadata kernel for electronic permanence, „Journal of Digital Information” 2002, vol. 2, iss. 2, s. 1–10, http://journals.tdl.org/jodi/article/view/43.

Li C., Sugimoto S., Provenance description of metadata vocabularies for the long-term maintenance of metadata, „Journal of Data and Information Science” 2017, vol. 2, iss. 2, s. 41–55.

Martín A., C. León, A. López, Enhancing semantic interoperability in digital library by applying intelligent techniques, [w:] 2015 SAI Intelligent Systems Conference (IntelliSys), London 2015, s. 904–911, https://doi.org/10.1109/IntelliSys.2015.7361251.

Nayyeri M., Alam M.M., Lehmann J., Vahdati S., Learning and reasoning in link prediction over knowledge graphs, „IEEE Access” 2020, vol. 8, s. 196459–196471, https://doi.org/10.1109/ACCESS.2020.3034183.

Newman D., Lynnes C., Smart handoffs: Preserving user context between tools and services related to NASA’s EOSDIS data archive, [w:] 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama 2019, s. 5563–5566, https://doi.org/10.1109/igarss.2019.8898757.

Pattar S., Kulkarni D.S., Vala D., Buyya R., Venugopal K.R., Iyengar S.S., Patnaik L.M., Progressive search algorithm for service discovery in an IoT ecosystem, [w:] 2019 International Conference on Internet of Things (Ithings) and IEEE Green Computing and Communications (Greencom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Atlanta 2019, s. 1041–1048, https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00180.

Ramirez C.E., Sermet Y., Shahid M., Demir I., A web-based data transfer and communication library for collaborative data processing and sharing in the hydrological domain, „Environmental Modelling & Software” 2024, vol. 178, https://doi.org/10.1016/j.envsoft.2024.106068.

Rohrer E., Heidel S., Tschorsch F., Webchain: Verifiable citations and references for the World Wide Web, [w:] 2018 IEEE Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Halifax 2018, s. 1367–1372, https://doi.org/10.1109/Cybermatics_2018.2018.00235.

Rony M.R.A., Kumar U., Teucher R., Kovriguina L., Lehmann J., SGPT: A generative approach for SPARQL query generation from natural language questions, „IEEE Access” 2022, vol. 10, s. 70712–70723, https://doi.org/10.1109/ACCESS.2022.3188714.

Seuss H., Dankerl P., Ihle M., Grandjean A., Hammon R., Kaestle N., Fasching P.A., Maier C., Christoph J., Sedlmayr M., Semi-automated de-identification of German content sensitive reports for big data analytics, „RöFo: Fortschritte auf dem Gebiet der Röntgenstrahlen und der Bildgebenden Verfahren” 2017, vol. 189, iss. 7, s. 661–671, https://doi.org/10.1055/s-0043-102939.

Sgobbi F.S., Tarouco L.M.R., Reategui E.B., The pedagogical use of the Internet of Things in virtual worlds to encourage a behavior change in obese individuals, [w:] 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Exeter 2017, s. 676–682, https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.106.

Su X., Gilman E., Liu X., Towards semantic Web of Things: Reference architecture and gap analysis, [w:] 2023 IEEE International Conferences on Internet of Things (iThings) IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and

Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), Danzhou 2024, s. 151–158, https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics60724.2023.00048.

Standardy Krajowego Repozytorium Obiektów Nauki i Kultury, Portal Interoperacyjności i Architektury, Serwis Rzeczypospolitej Polskiej, [on-line:] https://www.gov.pl/web/ia/standardy-krajowego-repozytorium-obiektow-nauki-i-kultury – 1.12.2024.

Sugimoto S., Li C., Nagamori M., Greenberg J., Permanence and temporal interoperability of metadata in the linked open data environment, Proceedings of the International Conference on Dublin Core and Metadata Applications, 2016, s. 45–54, https://doi.org/10.23106/dcmi.952137567.

Tranfield D., Denyer D., Smart P., Towards a methodology for developing evidence-informed management knowledge by means of systematic review, „British Journal of Management” 2003, vol. 14, iss. 3, s. 207–222, https://doi.org/10.1111/1467-8551.00375.

The importance of metadata in AI, NISO, 2024, [on-line:] https://www.niso.org/events/importance-metadata-ai – 1.12.2024.

Wan S.H., S.T. Ding, C. Chen, Edge computing enabled real-time video analysis via adaptive spatial-temporal semantic filtering, „Pattern Recognition” 2022, vol. 121, https://doi.org/10.1016/j.patcog.2021.108146.

Zachila K., Kotis K., Paparidis E., Ladikou S., Spiliotopoulos D., Facilitating semantic interoperability of trustworthy IoT entities in cultural spaces: The smart museum ontology, „IOT” 2021, vol. 2, iss. 4, s. 741–760, https://doi.org/10.3390/iot2040037.

Zavalin V., Miksa S.D., Collecting and evaluating large volumes of bibliographic metadata aggregated in the WorldCat database: a proposed methodology to overcome challenges, „Electronic Library” 2021, vol. 39, no. 3, s. 486–503, https://doi.org/10.1108/EL-11-2020-0316.

Zeng M.L., Semantic enrichment for enhancing LAM data and supporting digital humanities, „Profesional de la Información” 2019, vol. 28, núm. 1, https://doi.org/10.3145/epi.2019.ene.03.

Published

2025-03-03

How to Cite

Szulc, J. (2025). Smart metadata for Polish cultural institutions. An analysis of foreign literature. AUPC Studia Ad Bibliothecarum Scientiam Pertinentia, 22, 811–826. https://doi.org/10.24917/20811861.22.47

Issue

Section

Materiały / Materials