Perseids and Digital Textual Annotation

Marie-Claire BeaulieuTufts 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/TimemapsVisualization 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 GapVishttp://www.perseids.org/sites/joth/#book/urn:cts:pdlrefwk:viaf88890045.003.perseus-eng1/read/urn:cts:pdlrefwk:viaf88890045.003.perseus-eng1:A.andromache_1

Treebank: morpho-syntactic annotationhttp://www.perseids.org/tools/arethusa/app/#/perseids?chunk=1&doc=5681

Translation Alignmenthttp://sosol.perseids.org/alpheios/app/align-editsentence-perseids.xhtml?s=1&numSentences=1&doc=5677