mAuth

Description

mAuth is a tool for art historians, data collection managers, and curious, who want to collect information - historians' opinions, motivations, bibliographic references, and images - about artwork attributions related to artworks of the Modern Art (15-16th centuries). mAuth is a semantic crawler designed for harvesting information on artwork attributions in the web of data. mAuth API is implemented in Python, using Flask microframework. mAuth is a proof of concept. The aim is leveraging Semantic Web technologies to (a) support historians' daily tasks (such as retrieving information and sources), (b) evaluate the methodology underpinning decisions made by art historical data providers, and (c) investigate how authoritativeness can be automatically interpreted given a set of rules and believes shared in a community.

Primary Subjects

Art history, Archival science, bibliography and librarianship, Informatics.

Associated Entities

Università di Bologna, Digital Humanities Advanced Research Centre (/DH.arc).

Contributors

Marilena Daquino.

Location

Bologna.

Research Activities

Programming, Knowledge Extraction, Web Crawling.

Technologies Used

Blazegraph, Python, API.

Outputs

mAuth Software, mAuth Service.

Bibliographic References

https://github.com/marilenadaquino/mauth

Homepage

https://projects.dharc.unibo.it/mauth/search

Project Status

Completed

Research Project

This record catalogues digital scholarly activity (academic research projects) as an instance of the PROV-O Activity class. See the Documentation page for more information.

Permalink

http://purl.org/knot/data/mauth-project