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Perseids and Digital Textual
Annotation
Marie-Claire Beaulieu
Tufts University/Perseus Digital Library
Marie-Claire.Beaulieu@Tufts.edu
Objectives
• Data-driven analysis
▫ Reproducible results
▫ Transparent analysis: keep connection to source
documents at all times
• Machine-actionable data
• Reusable datasets
Perseids: sample annotation workflows
• Geographically referenced social networks
• Timemaps
• Treebanks
• Textual alignments
Timelines/Timemaps
Visualization with Timemapper
• http://timemapper.okfnlabs.org/
Timelines/Timemaps:
data ingested to Perseids
Social Networks/Named Entities
• Annotate the named entities in a text: persons
and places
• Build machine-actionable datasets
• Reuse this data later in visualizations: social
networks, genealogies, timelines, etc.
Data Ingest to Perseids: using SNAP
ontology and OA model
Visualization using GapVis
http://www.perseids.org/sites/joth/#book/urn:cts:pdlrefwk:viaf88890045.00
3.perseus-eng1/read/urn:cts:pdlrefwk:viaf88890045.003.perseus-
eng1:A.andromache_1
Treebank: morpho-syntactic annotation
http://www.perseids.org/tools/arethusa/app/#/perseids?chunk=1&doc=5681
Translation Alignment
http://sosol.perseids.org/alpheios/app/align-editsentence-
perseids.xhtml?s=1&numSentences=1&doc=5677

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Marie Claire Beaulieu, PERSEIDS and Digital Textual Annotation