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mAuth: mining authoritativeness in art history

mAuth includes:

  • a semantic crawler for fetching attributions
  • a triplestore for storing harvested attributions, linksets, and few data sources
  • a backup copy of data retrieved and hosted for third-party institutions
  • an Flask API to serve data on contradictory attributions, and a web application based on the API (for visualizing ranked attributions)
  • results of the corpus analysis (for defining measures )
  • results of the user study (for evaluating the ranking model)

HOW TO

  • config.py to change configuration
  • run.py to create the knowledge base including linksets (artists/, historians/, artworks/), three test graphs (zeri/, itatti/, and frick/), harvested attributions (attributions/), and scholars indexes (h_index/)
  • blazegraph/run.sh to launch the triplestore (non-writable mode)
  • mauth API/webapp to launch the application and the API. NB. Flask requires gunicorn or similar for production environments

How to cite this work:

  • M. Daquino, Mining Authoritativeness in Art Historical Photo Archives, Studies on the Semantic Web 34. ISBN: 978-1-64368-010-1 (print) | 978-1-64368-011-8 (online). doi:10.3233/SSW190006

Corpus analysis and user study results:

  • M. Daquino, A computational analysis of art historical linked data for assessing authoritativeness of attributions, Journal of the Association for Information Science and Technology, 1–13. doi:10.1002/asi.24301.
  • M. Daquino, mAuth - Corpus analysis, 2019, data retrieved from Figshare, doi:10.6084/m9.figshare.7411262.
  • M. Daquino, mAuth - Results of the User Study, 2019, data retrieved from Figshare, doi:10.6084/m9.figshare.7409384.

Other related publications:

  • M. Daquino and F. Tomasi, Historical Context Ontology (HiCO): a conceptual model for describing context information of cultural heritage objects, in: Research Conference on Metadata and Semantics Research, Springer, 2015, pp. 424–436. doi:10.1007/978-3-319-24129-6_37.
  • M. Daquino, F. Mambelli, S. Peroni, F. Tomasi and F. Vitali, Enhancing semantic expressivity in the cultural heritage domain: exposing the Zeri Photo Archive as Linked Open Data, Journal on Computing and Cultural Heritage (JOCCH) 10(4) (2017), 21. doi:10.1145/3051487

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