Transcript
Page 1: The Media Ecology Project: Using Linked Data to Support Distributed Analysis of Visual Culture

Using Linked Data to Support Distributed Analysis

of Visual Culture

John Bell • [email protected] Mark J Williams • [email protected]

Page 2: The Media Ecology Project: Using Linked Data to Support Distributed Analysis of Visual Culture

WHAT IS MEP?

Page 3: The Media Ecology Project: Using Linked Data to Support Distributed Analysis of Visual Culture

CURRENT MODEL

• User clicks MediaThread bookmarklet on Library of Congress video

• MediaThread bookmarklet scrapes metadata from Library of Congress and stores it in MediaThread’s local database

Page 4: The Media Ecology Project: Using Linked Data to Support Distributed Analysis of Visual Culture

SIDELOADED METADATA

• MediaThread sends a second request to MEP for any metadata about the video, then adds the result to its database

• The user never knows MEP was queried

Page 5: The Media Ecology Project: Using Linked Data to Support Distributed Analysis of Visual Culture

ADDED METADATA

• User adds annotations, commentary, tags, etc. to the video in MediaThread

• When the user publishes their work, MediaThread sends the user’s new metadata to MEP

Page 6: The Media Ecology Project: Using Linked Data to Support Distributed Analysis of Visual Culture

ADDED METADATA

• The user’s metadata is added to what MEP knows about the video and what it sends to MediaThread next time that video is loaded

• If the Library of Congress can accept the new metadata, MEP will send it back to enhance the original source’s records

Page 7: The Media Ecology Project: Using Linked Data to Support Distributed Analysis of Visual Culture

COMMENTARY

Commentary A woman can be seen rolling out a pie crust in the center of a table on a set of a kitchen. A pie is cooling on the sideboard. As the woman continues her work, the door opens and a big man dressed as a tattered tramp enters and gestures a request for food. The woman replies by hitting him with a rolling pin, knocking him to the floor.

<rdf:Description rdf:about="http://mep.dartmouth.edu/users/john-bell/annotation"> <rdf:type rdf:resource="http://scalar.usc.edu/2012/01/scalar-ns#Composite"/> <dcterms:title>The Tramp and the Muscular Cook</dcterms:title> <dcterms:description></dcterms:description> <sioc:content> A woman can be seen rolling out a pie crust in the center of a table on a set of a kitchen. A pie is cooling on

the sideboard. As the woman continues her work, the door opens and a big man dressed as a tattered tramp enters and gestures a request for food. The woman replies by hitting him with a rolling pin, knocking him to the floor.

</sioc:content> <dcterms:isVersionOf rdf:resource="http://mep.dartmouth.edu/users/john-bell/annotation.0"/> </rdf:Description>

Page 8: The Media Ecology Project: Using Linked Data to Support Distributed Analysis of Visual Culture

PROVENANCE AND TRUST

Users *Kemp Niver, Motion Pictures from the Library of Congress Paper Print Collection 1894-1912, 1967

<rdf:Description rdf:about="http://mep.dartmouth.edu/user/ur1617546/"> <foaf:name>Kemp Niver</foaf:name> <foaf:mbox_sha1sum>b56d0fa3ea6bc6760d50c08918ffbcdf623cf716</foaf:mbox_sha1sum> <foaf:homepage rdf:resource="http://mep.dartmouth.edu/user/ur1617546/"/> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Person"/> </rdf:Description>

Page 9: The Media Ecology Project: Using Linked Data to Support Distributed Analysis of Visual Culture

CONTROLLED VOCABULARIES

Tagging Mutoscope, silent, rolling pin

<rdf:Description rdf:nodeID="tag-Mutoscope"> <foaf:name>Mutoscope</foaf:name> <foaf:page rdf:resource=“http://onomy.org/published/12/term/4"/> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/SemanticTag"/> </rdf:Description> <rdf:Description rdf:nodeID="tag-rolling-pin"> <foaf:name>rolling pin</foaf:name> <foaf:page rdf:resource=“http://onomy.org/published/298/term/64“/> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/SemanticTag"/> </rdf:Description>

Page 10: The Media Ecology Project: Using Linked Data to Support Distributed Analysis of Visual Culture

ONOMY.ORG


Recommended