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Linked Data and Musical Information to Improvement the Cultural and Heritage Knowledge Management

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Trends and Applications in Software Engineering (CIMPS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1071))

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Abstract

Knowledge management plays a crucial role in initiatives that promotes the discovery and sharing of cultural and heritage informational resources from diverse and autonomous organizations and initiatives. Information in this domain is heterogeneous, distributed, multi-lingual, comes in unstructured formats and large quantities, is strongly contextualized by time and place is created collaboratively. These challenges can be undertaken using semantic technologies. Semantic Web approach and Linked Data technologies are a catalyst for cross-domain and cross-organizational semantic data interoperability and data integration. In this regard, this work will look at the interaction between knowledge management and linked open data within the context of cultural and heritage data with a particular focus on the concept of music data. This work will discuss, among other things, how Semantic Knowledge Graphs based on linked data can contribute to enhancing knowledge management and increase productivity, in actions related with cultural data enrichment, data exploration, knowledge discovery, cultural data reuse, and data visualization. By representing information using data models and open semantic standards, data integration and reasoning can be applied to the cultural data in a well-defined way.

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Notes

  1. 1.

    According [36] “is a free, collaborative, multilingual, secondary database, collecting structured data to provide support for Wikipedia, Wikimedia Commons, the other wikis of the Wikimedia movement, and to anyone in the world”.

  2. 2.

    For [37] “Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet, on web pages, in email messages, and beyond’’.

  3. 3.

    Getty Research [38] says “The Getty vocabularies contain structured terminology for art, architecture, decorative arts, archival materials, visual surrogates, conservation, and bibliographic materials”.

References

  1. Achichi, M., Lisena, P., Todorov, K., Delahousse, J.: DOREMUS : a graph of linked musical works. In: International Semantic Web Conference, vol. 1, pp. 3–19 (2018)

    Google Scholar 

  2. Vattuone, M.M.S., Roldán, J., Neder, L., Maldonado, M.G., Vattuone, M.A.: Formative pre-Hispanic agricultural soils in northwest Argentina. Q. Res. 75, 36–44 (2011). https://www.sciencedirect.com/science/article/pii/S0033589410001043

  3. Berners-Lee, T.: Linked Data (2006). https://www.w3.org/DesignIssues/LinkedData.html

  4. Hutchison, D.: The Semantic Web – ISWC (2013)

    Google Scholar 

  5. W3C. Vocabularies (2018). https://www.w3.org/standards/semanticweb/ontology

  6. Silvescu, A., Caragea, D., Atramentov, A.: Graph databases. Artif. Intell. 14 (2010). http://www.cse.iitk.ac.in/users/smitr/PhDResources/GraphDatabases.pdf

  7. Charles, V., Isaac, A., Manguinhas, H.: Designing a multilingual knowledge graph as a service for cultural heritage – some challenges and solutions. In: Proceedings of the 2018 International Conference on Dublin Core and Metadata Applications, pp. 29–40 (2018)

    Google Scholar 

  8. Barker, S.: Google knowledge graph (2018). https://hackernoon.com/everything-you-need-to-know-about-google-knowledge-graph-and-how-to-get-included-e14c07f95fe6

  9. Koide, S., Kato, F., Takeda, H., Ochiai, Y.: Action planning based on open knowledge graphs and lod. In: JIST (Workshops & Posters) (2017)

    Google Scholar 

  10. Noev, N., Bogdanova, G., Todorov T., et al.: Using graph databases to represent knowledge base in the field of cultural heritage. In: Proceedings of the Sixth UNESCO International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage (2016)

    Google Scholar 

  11. Mosquera, J., Piedra, N.: Use of graph database for the integration of heterogeneous data about Ecuadorian historical personages. In: 2018 7th International Conference Software Process Improvement, pp. 95–100 (2018)

    Google Scholar 

  12. Lodi, G., Asprino, L., Giovanni, A., Presutti, V., Gangemi, A., Reforgiato, D., et al.: Semantic web for cultural heritage valorisation. In: Data Analytics in Digital Humanities, pp. 3–37 (2017)

    Google Scholar 

  13. Benjamins, V., Contreras, J., Blázquez, M., Dodero, J., Garcia, A., Navas, E., et al.: Cultural heritage and the semantic web. In: European Semantic Web Symposium, pp. 433–44. Springer, Heidelberg (2004)

    Google Scholar 

  14. Signore, O., National, I.: The semantic web and cultural heritage : ontologies and technologies help in accessing museum information. In: Information Technology for the Virtual Museum (2015)

    Google Scholar 

  15. Yu, C., Groza, T., Hunter, J.: Reasoning on crowd-sourced semantic annotations to facilitate cataloguing of 3D artefacts in the cultural heritage domain. In: International Semantic Web Conference, pp. 228–243 (2013)

    Google Scholar 

  16. Castiglione, A., Colace, F., Moscato, V., Palmieri, F.: CHIS: a big data infrastructure to manage digital cultural items. Future Gener. Comput. Syst. 86, 1134–1145 (2017). http://dx.doi.org/10.1016/j.future.2017.04.006

  17. Ben Ellefi, M.: Cultural heritage resources profiling : ontology-based approach. In: Companion Proceedings of the Web Conference (2018)

    Google Scholar 

  18. Damova, M., Dannells, D.: Reason-able view of linked data for cultural heritage, 2–9 (2011)

    Google Scholar 

  19. Semantic Web. PROTON, a lightweight upper-level ontology. http://proton.semanticweb.org/

  20. ICOM, CIDOC. Conceptual Model Reference CMR (2018). http://www.cidoc-crm.org/

  21. Hyvönen, E.: Publishing and Using Cultural Heritage Linked Data on the Semantic Web. Morgan & Claypool Publishers, San Rafael (2012)

    Book  Google Scholar 

  22. de Boer, V., Wielemaker, J., van Gent, J., Hildebrand, M,, Isaac, A., van Ossenbruggen, J., et al.: supporting linked data production for cultural heritage institutes: the amsterdam museum case study. In: Proceedings 9th International Conference Semantic Web Research Application, pp. 733–747. Springer, Heidelberg (2012). http://dx.doi.org/10.1007/978-3-642-30284-8_56

  23. Mavrikas, E.C., Nicoloyannis, N., Kavakli, E.: Cultural heritage information on the semantic web. In: International Conference on Knowledge Engineering and Knowledge Management, pp. 3–5 (2018)

    Google Scholar 

  24. Alexander, S., Piedra, N., Morocho, J.C.: Using linked data to ensure that digital information about historical figures of loja remains accessible and usable (2018)

    Google Scholar 

  25. Wu, Q., Chen, C., Jiang, Y.: Multi-source heterogeneous Hakka culture heritage data management based on MongoDB. In: 2016 5th International Conference Agro-Geoinformatics, (Agro-Geoinformatics 2016) (2016c)

    Google Scholar 

  26. Guerrero, F.: Bibliografia de la Musica Ecuatoriana en linea. 0.1c. Quito: Ministerio de Cultura y patrimonio de Ecuador (2017). https://bibliografiamusicalecuatorianaenlinea.wordpress.com/

  27. Herrera, C.: Pasillo Ecuador (2018). http://pasilloecuador.blogspot.com/

  28. Eche, J.: Musicoteca Ecuador (2018). http://musicotecaecuador.blogspot.com/2016/09/que-es-musicoteca-ecuador.html

  29. Carrión, O.: Lo mejor del siglo XX: música ecuatoriana. Duma (2002)

    Google Scholar 

  30. Wong, K.: La nacionalización del pasillo ecuatoriano a principios del siglo XX. III Congr Latinoam la Asoc Int para el Estud la música Pop (1999)

    Google Scholar 

  31. Denizeau, G.: Los géneros musicales, una visión diferente de la Historia de la música. Robinbook, editor. Barcelona (2002)

    Google Scholar 

  32. Raimondm, Y., Gängler, T., Giasson, F., Jacobson, K., Fazekas, G., Reinhardt, S., et al.: Music ontology (2013). http://musicontology.com

  33. Dbpedia. Dbpedia Ontology (2018). https://wiki.dbpedia.org/services-resources/ontology

  34. Piedra, N., Chicaiza, J., Lopez, J.: Guidelines to producing structured interoperable data from Open Access Repositories An example of integration of digital repositories of higher educational institutions LatAm (2016)

    Google Scholar 

  35. Linked Data Org. Linked Data (2018). http://linkeddata.org/

  36. Wikidata. About Wikidata (2018). https://www.wikidata.org/wiki/Wikidata:Introduction

  37. Schema Org. Schema (2018). https://schema.org/

  38. Getty Research. Getty Vocabulaires as Linked Open Data (2018). http://www.getty.edu/research/tools/vocabularies/lod/

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Acknowledgement

The work has been funded and supported by the Universidad Técnica Particular de Loja (UTPL), through the KBS Research Group.

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Authors and Affiliations

  1. Universidad Técnica Particular de Loja, Loja, Ecuador

    Nelson Piedra & Jean Paúl Mosquera Arévalo

Authors
  1. Nelson Piedra
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  2. Jean Paúl Mosquera Arévalo
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Corresponding author

Correspondence to Nelson Piedra .

Editor information

Editors and Affiliations

  1. Unidad Zacatecas, Centro de Investigación en Matemáticas, Zacatecas, Zacatecas, Mexico

    Jezreel Mejia

  2. Unidad Zacatecas, Centro de Investigación en Matemáticas A.C, Zacatecas, Zacatecas, Mexico

    Mirna Muñoz

  3. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  4. Escuela Técnica Superior de Ingenieros Informáticos, Universidad Politécnica de Madrid, Madrid, Spain

    Jose A. Calvo-Manzano

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Piedra, N., Mosquera Arévalo, J.P. (2020). Linked Data and Musical Information to Improvement the Cultural and Heritage Knowledge Management. In: Mejia, J., Muñoz, M., Rocha, Á., A. Calvo-Manzano, J. (eds) Trends and Applications in Software Engineering. CIMPS 2019. Advances in Intelligent Systems and Computing, vol 1071. Springer, Cham. https://doi.org/10.1007/978-3-030-33547-2_12

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