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A Modular Ontology for MODS – Metadata Object Description Schema

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Knowledge Graphs and Semantic Web (KGSWC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14382))

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Abstract

The Metadata Object Description Schema (MODS) was developed to describe bibliographic concepts and metadata and is maintained by the Library of Congress. Its authoritative version is given as an XML schema based on an XML mindset which means that it has significant limitations for use in a knowledge graphs context. We have therefore developed the Modular MODS Ontology (MMODS-O) which incorporates all elements and attributes of the MODS XML schema. In designing the ontology, we adopt the recent Modular Ontology Design Methodology (MOMo) with the intention to strike a balance between modularity and quality ontology design on the one hand, and conservative backward compatibility with MODS on the other.

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Notes

  1. 1.

    https://github.com/rushrukh/mods_metadata_schema/tree/main/documentation.

  2. 2.

    A primer on description logic and the notation can be found in [1, 5].

  3. 3.

    Structural tautologies are logically inert, however they provide structural guidance on use for the human using an ontology; see [10].

  4. 4.

    https://www.loc.gov/standards/mods/modsrdf/primer.html.

  5. 5.

    We also found http://arco.istc.cnr.it:8081/ontologies/MODS which appears to be abandoned work-in progress without meaningful documentation.

References

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  7. McCallum, S.H.: An introduction to the metadata object description schema (MODS). In: Proceedings of the 10th Workshop on Ontology Design and Patterns (WOP 2019) co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, 27 October 2019, pp. 82–88. Emerald Group Publishing Limited (2019). https://doi.org/10.1108/07378830410524521

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Acknowledgement

The authors acknowledge funding under the National Science Foundation grants 2119753 “RII Track-2 FEC: BioWRAP (Bioplastics With Regenerative Agricultural Properties): Spray-on bioplastics with growth synchronous decomposition and water, nutrient, and agrochemical management” and 2033521: “A1: KnowWhereGraph: Enriching and Linking Cross-Domain Knowledge Graphs using Spatially-Explicit AI Technologies”.

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Authors and Affiliations

  1. Kansas State University, Manhattan, KS, 66502, USA

    Rushrukh Rayan & Pascal Hitzler

  2. Wright State University, Dayton, OH, 45435, USA

    Cogan Shimizu

  3. South Dakota School of Mines & Technology, Rapid City, SD, 57701, USA

    Heidi Sieverding

Authors
  1. Rushrukh Rayan
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  2. Cogan Shimizu
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  3. Heidi Sieverding
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  4. Pascal Hitzler
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Corresponding author

Correspondence to Rushrukh Rayan .

Editor information

Editors and Affiliations

  1. Autonomous University of Tamaulipas, Ciudad Victoria, Mexico

    Fernando Ortiz-Rodriguez

  2. University of La Rioja, Madrid, Spain

    Boris Villazón-Terrazas

  3. Autonomous University of Tamaulipas, Ciudad Victoria, Mexico

    Sanju Tiwari

  4. University of Zaragoza, Zaragoza, Spain

    Carlos Bobed

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Rayan, R., Shimizu, C., Sieverding, H., Hitzler, P. (2023). A Modular Ontology for MODS – Metadata Object Description Schema. In: Ortiz-Rodriguez, F., Villazón-Terrazas, B., Tiwari, S., Bobed, C. (eds) Knowledge Graphs and Semantic Web. KGSWC 2023. Lecture Notes in Computer Science, vol 14382. Springer, Cham. https://doi.org/10.1007/978-3-031-47745-4_13

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  • DOI: https://doi.org/10.1007/978-3-031-47745-4_13

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-47745-4

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