Skip to main content
SpringerLink
Log in

Connecting and Mapping LOD and CMDI Through Knowledge Organization

  • Conference paper
  • First Online:
Metadata and Semantic Research (MTSR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 846))

Included in the following conference series:

Abstract

This paper explains the connection and mapping of knowledge representations between RDF and CMDI. Therefore, the challenge is to create a bridge between Linked Open Data (LOD) and the Component MetaData Infrastructure (CMDI) to ensure that the limits of the two paradigms are compensated and strengthened to create a new hybrid approach. While on the one hand, CMDI is easier to use for modelling purposes, the Metadata is not descriptive enough for a document to be easily discoverable using Linked Data (LD) technologies to publish and to enrich the document’s content. Yet on the other hand, the explicit semantics and high interoperability of LOD have many advantages, but its modelling process is too complex for non-expert users. Here we show how knowledge organization plays a crucial role in this issue.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Hjørland, B.: What is knowledge organization (KO)? Knowl. Organ. 35, 86–101 (2008)

    Article  Google Scholar 

  2. Luca, D., et al.: Using clustering methods to improve ontology-based query term disambiguation. Int. J. Intell. Syst. 21(7), 693–709 (2006)

    Article  Google Scholar 

  3. La Barre, K.: The use of faceted analytico-synthetic theory as revealed in the practice of website construction and design. Ph.D. dissertation, Indiana University (2006)

    Google Scholar 

  4. Plumbaum, T., et al.: User modeling for the social semantic web. In: Proceedings of the Second International Conference on Semantic Personalized Information Management: Retrieval and Recommendation - Volume 781, pp. 78–89. CEUR-WS.org (2011)

    Google Scholar 

  5. Lorenz, B.: Systematische Aufstellung in Vergangenheit und Gegenwart 2003 (2003)

    Google Scholar 

  6. Library of Congress Classification. https://www.loc.gov/catdir/cpso/lcco/

  7. Dewey Decimal Classification. https://www.oclc.org/dewey/features/summaries.en.html

  8. Universal Decimal Classification. http://www.udcc.org/index.php/site/page?view=about

  9. Dahlberg, I.: The information coding classification (ICC): a modern, theory-based fully-faceted, universal system of knowledge fields. Axiomathes 18(2), 161–176 (2008)

    Article  Google Scholar 

  10. Smith, M., et al.: Survey of Current Library Linked Data Implementation (2017). https://bibflow.library.ucdavis.edu/xi-survey-of-current-library-linked-data-implementation/

  11. VIAF Homepage. https://viaf.org/

  12. FAST Homepage. http://fast.oclc.org/

  13. Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)

    Book  Google Scholar 

  14. Hirst, G.: Ontology and the Lexicon. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies, pp. 269–292. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-24750-0_11

    Chapter  Google Scholar 

  15. Buitelaar, P.: Ontology-based semantic lexicons: mapping between terms and object descriptions. In: Ontology and the Lexicon, pp. 212–223. Cambridge University Press (2010)

    Google Scholar 

  16. Kunze, C., et al.: Repräsentation und Verknüpfung allgemeinsprachlicher und terminologischer Wortnetze in OWL. Zeitschrift für Sprachwiss. 26(2), 267–290 (2007)

    Article  MathSciNet  Google Scholar 

  17. Lüngen, H., et al.: Modelling and processing WordNets in OWL. In: Mehler, A., Kühnberger, K.U., Lobin, H., Lüngen, H., Storrer, A., Witt, A. (eds.) Modeling, Learning, and Processing of Text Technological Data Structures, pp. 347–376. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22613-7_17

    Chapter  Google Scholar 

  18. WordNet, A Lexical Database for English (2015). https://wordnet.princeton.edu/

  19. Chiarcos, C., et al.: Towards a linguistic linked open data cloud: the open linguistics working group. Trait. Autom. des Langues 52(3), 245–275 (2011)

    Google Scholar 

  20. Pease, A., Fellbaum, C., Vossen, P.: Building the Global WordNet Grid (2008)

    Google Scholar 

  21. McCrae, P., et al.: Guidelines for Linguistic Linked Data Generation: WordNets (2015)

    Google Scholar 

  22. Van Assem, M., Gangemi, A., Schreiber, G.: Conversion of WordNet to a standard RDF/OWL representation. In: International Conference on Language Resources and Evaluation, pp. 237–242 (2006)

    Google Scholar 

  23. Raves, A., Gutierrez, C.: Data representations for WordNet: a case for RDF. In: Sojka, P., Choi, K.-S., Fellbaum, C., Vossen, P. (eds.) Proceedings of the 3rd International WORDNET Conference, pp. 165–169 (2006)

    Google Scholar 

  24. De Luca et al., Converting EuroWordNet in OWL and Extending It with Domain Ontologies (2007)

    Google Scholar 

  25. De Luca, E.W.: Aggregation and Maintenance of Multilingual Linked Data. Semi-Automatic Ontology Development: Processes and Resources Book. IGI Global, Pennsylvani (2012)

    Google Scholar 

  26. De Luca, E.W., Dahlberg, I.: Including knowledge domains from the ICC into the multilingual lexical linked data cloud, vol. 14 (2014)

    Google Scholar 

  27. Infographic-The History of Metadata. https://www.m-files.com/en/infographic-the-history-of-metadata

  28. CMDI Metadata - The Language Archive. https://tla.mpi.nl/cmdi-metadata/

  29. Beccaceci, R., et al.: Education with ‘living artworks’ in museums. In: CSEDU 2009 - Proceedings of the 1st International Conference on Computer Supported Education, vol. 1 (2009)

    Google Scholar 

  30. Arcidiacono, G., et al.: The use of lean six sigma methodology in digital curation. In: CEUR Workshop Proceedings, no. 2014 (2016)

    Google Scholar 

  31. Hernández, F., et al.: Building a cultural heritage ontology for Cantabria. In: Annual Conference of CIDOC Athens, pp. 1–14 (2008)

    Google Scholar 

  32. Hyvönen, E.: Publishing and using cultural heritage linked data on the semantic web. Synth. Lect. Semant. Web Theory Technol. 2(1), 1–159 (2012)

    Article  Google Scholar 

  33. Accardi, A.R.D., et al.: Digital museums of the imagined architecture: an integrated approach. DISEGNARECON 9, 15.1–15.11 (2016)

    Google Scholar 

  34. Fallucchi, F., et al.: Ontology-driven PA web hosting monitoring system, vol. 8842 (2014)

    Google Scholar 

  35. Bianchi,M., et al.: Service level agreement constraints into processes for document classification. In: ICEIS 2014-Proceedings of 16th International Conference on Enterprise Inform. Systems, vol. 1 (2014)

    Google Scholar 

  36. Fallucchi, F., et al.: Analysing and visualizing open data within the data & analytics framework. In: Digital Library Track 12th Metadata and Semantics Research Conference (2018)

    Google Scholar 

  37. Zhang, D., et al.: A knowledge management framework for the support of decision making in humanitarian assistance/disaster relief. Knowl. Inf. Syst. 4(3), 370–385 (2002)

    Article  Google Scholar 

  38. Fallucchi, F., et al.: Supporting humanitarian logistics with intelligent applications for disaster management. INTELLI 2016, 64 (2016)

    Google Scholar 

  39. Fallucchi, F., Tarquini, M., De Luca, E.W.: Knowledge management for the support of logistics during humanitarian assistance and disaster relief (HADR). In: Díaz, P., Bellamine Ben Saoud, N., Dugdale, J., Hanachi, C. (eds.) ISCRAM-med 2016. LNBIP, vol. 265, pp. 226–233. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47093-1_19

    Chapter  Google Scholar 

  40. Ferroni, P., et al.: Risk assessment for venous thromboembolism in chemotherapy-treated ambulatory cancer patients. Med. Decis. Mak. 37(2), 234–242 (2017)

    Article  Google Scholar 

  41. Ferroni, P., et al.: Validation of a machine learning approach for venous thromboembolism risk prediction in oncology. Dis. Markers 2017, 1–7 (2017)

    Article  Google Scholar 

  42. Scarpato, N., et al.: E-health-IoT universe: a review. Int. J. Adv. Sci. Eng. Inf. Technol. 7(6), 2328–2336 (2017)

    Article  Google Scholar 

  43. Pieroni, A., et al.: Industry 4.0 revolution in autonomous and connected vehicle a non-conventional approach to manage big data. J. Theor. Appl. Inf. 96(1) (2018)

    Google Scholar 

  44. Pieroni, A., et al.: Smarter city: smart energy grid based on Blockchain technology. Int. J. Adv. Sci. Eng. Inf. Technol. 8(1), 298–306 (2018)

    Article  MathSciNet  Google Scholar 

  45. Zinn, C., Trippel, T., Kaminski, S., Dima, E.: Crosswalking from CMDI to dublin core and MARC 21. In: International Conference on Language Resources and Evaluation, no. i, pp. 2489–2495 (2016)

    Google Scholar 

  46. Hillmann, D.I., et al.: Metadata standards and applications. Ser. Libr. 54(1–2), 7–21 (2008)

    Article  Google Scholar 

  47. DCMI: DCMI Metadata Terms. http://www.dublincore.org/documents/dcmi-terms/

  48. The Dublin Core to MARC crosswalk. http://www.loc.gov/marc/dccross.html

  49. The MARC to Dublin Core crosswalk. http://www.loc.gov/marc/marc2dc.html

  50. Woodley, M.S.: Crosswalks, metadata harvesting, federated searching, metasearching: using metadata to connect users and information. In: Introduction to Metadata, pp. 1–25 (2008)

    Google Scholar 

  51. Godby, C.J., et al.: A Repository of Metadata Crosswalks. D-Lib Mag. vol. 10, no. 12 (2004)

    Google Scholar 

  52. Pierre, M.S., LaPlant, W.P.: Issues in crosswalking content metadata standards. Bethesda MD Natl. Inf. Stand. Organ. 7, 01–16 (1998)

    Google Scholar 

  53. Broeder, D., Windhouwer, M., Van Uytvanck, D., Goosen, T., Trippel, T.: CMDI: a component metadata infrastructure. In: Describing LRs with Metadata: Towards Flexibility and Interoperability in the Documentation of LR Workshop Programme (2012)

    Google Scholar 

  54. Zhang, J., Kemps-Snijders, M., Bennis, H.: The CMDI MI search engine: access to language resources and tools using heterogeneous metadata schemas. In: Zaphiris, P., Buchanan, G., Rasmussen, E., Loizides, F. (eds.) TPDL 2012. LNCS, vol. 7489, pp. 492–495. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33290-6_57

    Chapter  Google Scholar 

  55. Fallucchi, F., et al.: Creating CMDI-profiles for textbook resources. In: Digital Library Track 12th Metadata and Semantics Research Conference 23–26 October 2018, Limassol, Cyprus (2018)

    Google Scholar 

  56. OAI-PMH. http://www.openarchives.org/OAI/openarchivesprotocol.html

  57. Lampert, C.K., Southwick, S.B.: Leading to linking: introducing linked data to academic library digital collections. J. Libr. Metadata 13(2–3), 230–253 (2013)

    Article  Google Scholar 

  58. Southwick, S.B.: A guide for transforming digital collections metadata into linked data using open source technologies. J. Libr. Metadata 15(1), 1–35 (2015)

    Article  Google Scholar 

  59. Scarpato, N., Alessio, G.: SAGG: a novel linked data visualization approach. J. Theor. Appl. Inf. 95(22), 6192–6203 (2017)

    Google Scholar 

  60. Lillo, R.: Data and analytics framework. how public sector can profit from its immense asset, data. In: Leuzzi, F., Ferilli, S. (eds.) TRAP 2017. AISC, vol. 728, pp. 3–9. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75608-0_1

    Chapter  Google Scholar 

  61. Haslhofer, B., et al.: The OAI2LOD Server:Exposing OAI-PMH Metadata as LD (2008)

    Google Scholar 

  62. D2RQ. http://d2rq.org/

  63. Linked Data 5. http://www.w3.org/DesignIssues/LinkedData.html

  64. Konstantinou, N., Spanos, D.-E.: Creating linked data from relational databases. Materializing the Web of Linked Data, pp. 73–102. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-16074-0_4

    Chapter  Google Scholar 

  65. Koutsomitropoulos, D.A., et al.: Herding linked data: semantic search and navigation among scholarly datasets. Int. J. Semant. Comput. 09(04), 459–482 (2015)

    Article  Google Scholar 

  66. Vila-Suero, D., et al.: A library linked dataset. Semant. Web 4(3), 307–313 (2013)

    Google Scholar 

  67. IFLA. https://www.ifla.org/

  68. Durco, M., et al.: From CLARIN component metadata to linked open data. In: Proceedings of the 3° Workshop on LD in Linguistics (LDL 2014).LREC 2014. Reykjavik, Icel (2014)

    Google Scholar 

  69. Windhouwer, M., et al.: CMD2RDF: building a bridge from CLARIN to linked open data. In: Data Archiving and Networked Services (DANS), pp. 95–103. Ubiquity Press (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. DIII, Guglielmo Marconi University, Rome, Italy

    Francesca Fallucchi & Ernesto William De Luca

  2. DIFI, Georg Eckert Institute, Braunschweig, Germany

    Francesca Fallucchi & Ernesto William De Luca

Authors
  1. Francesca Fallucchi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ernesto William De Luca
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Francesca Fallucchi .

Editor information

Editors and Affiliations

  1. Alexander Technological Educational Institute (ATEI) of Thessaloniki, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

    Fabio Sartori

  3. Alexander Technological Educational Institute (ATEI) of Thessaloniki, Thessaloniki, Greece

    Rania Siatri

  4. Library and Information Services, Cyprus University of Technology, Limassol, Cyprus

    Marios Zervas

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Fallucchi, F., De Luca, E.W. (2019). Connecting and Mapping LOD and CMDI Through Knowledge Organization. In: Garoufallou, E., Sartori, F., Siatri, R., Zervas, M. (eds) Metadata and Semantic Research. MTSR 2018. Communications in Computer and Information Science, vol 846. Springer, Cham. https://doi.org/10.1007/978-3-030-14401-2_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-14401-2_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14400-5

  • Online ISBN: 978-3-030-14401-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation