Abstract
Scientific communities are using an increasing number of ontologies and vocabularies. Currently, the problem lies in the difficulty to find and select them for a specific knowledge engineering task. Thus, there is a real need to precisely describe these ontologies with adapted metadata, but none of the existing metadata vocabularies can completely meet this need if taken independently. In this paper, we present a new version of Metadata vocabulary for Ontology Description and publication, referred as MOD 1.2 which succeeds previous work published in 2015. It has been designed by reviewing in total 23 standard existing metadata vocabularies (e.g., Dublin Core, OMV, DCAT, VoID) and selecting relevant properties for describing ontologies. Then, we studied metadata usage analytics within ontologies and ontology repositories. MOD 1.2 proposes in total 88 properties to serve both as (i) a vocabulary to be used by ontology developers to annotate and describe their ontologies, or (ii) an explicit OWL vocabulary to be used by ontology libraries to offer semantic descriptions of ontologies as linked data. The experimental results show that MOD 1.2 supports a new set of queries for ontology libraries. Because MOD is still in early stage, we also pitch the plan for a collaborative design and adoption of future versions within an international working group.
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Notes
- 1.
In this paper, we will use the word ontology to identify the subject that is described by metadata (e.g., Movie Ontology, Human Disease Ontology, MeSH thesaurus, etc.) and the word vocabulary to identify the objects used to described ontologies (e.g., OMV, DC, DCAT, etc.).
- 2.
Please refer to column ‘prefix’ of Table 2 all along the paper for acronyms definitions of metadata vocabularies.
- 3.
- 4.
AgroPortal has now a specific page (http://agroportal.lirmm.fr/landscape) dedicated to visualizing this landscape. It displays highly valuable synthetized information with diagrams and charts about the ontologies in agriculture. This was made possible by the new metadata model.
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Acknowledgements
This work is partly achieved within the Semantic Indexing of French biomedical Resources (SIFR – www.lirmm.fr/sifr) project that received funding from the French National Research Agency (ANR-12-JS02-01001), the EU Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 701771, the NUMEV Labex (ANR-10-LABX-20), the Computational Biology Institute of Montpellier (ANR-11-BINF-0002) as well as by University of Montpellier and the CNRS. This work has also been partially funded by the Indian Statistical Institute under the Start-Up Grant project. We thank the National Center for Biomedical Ontology (NCBO) for latest information about the NCBO BioPortal.
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Dutta, B., Toulet, A., Emonet, V., Jonquet, C. (2017). New Generation Metadata Vocabulary for Ontology Description and Publication. In: Garoufallou, E., Virkus, S., Siatri, R., Koutsomiha, D. (eds) Metadata and Semantic Research. MTSR 2017. Communications in Computer and Information Science, vol 755. Springer, Cham. https://doi.org/10.1007/978-3-319-70863-8_17
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