Difference between revisions of "Tools: Team Three"

Revision as of 10:45, June 26, 2016

Team three: visualisation of historical data

Team summary

We will explore how visualisation techniques can be used by historians for multiple purposes - to improve the discoverability of data, to highlight and analyse linkages in data, and to aid the comprehension of data.

We will undertake an analysis of our own needs as historians and will explore how software designers have approached meeting those needs.

An explicit goal of team three is to understand the visualisation potential of the MarineLives full text corpus and to explore approaches to mining the data for visualisation applications.
We would like to explore the use an off-the-shelf Named Entity Recogniser to detect places, ships and dates, and to visualise the results in multiple ways and for multiple analytical purposes. We would like to compare this automated approach to the generation of tagged data to the hand extraction of geographical and other tagged data. We will build off earlier work done in collaboration with the Department of Informatics at the University of Mannheim.

Team members will have an opportunity to work with, and improve upon, a MarineLives dataset for C17th ship sailing times between ports and dwell time in ports

High Court of Admiralty dataset

High Court of Admiralty 1650s travel time dataset

Long distance travel time - simple visualisation

Short distance travel time - simple visualisation

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Visualisation tools

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Useful Links

Natural Language Processing Wikipedia article

Dominique Ritze et al., Named Entities in Court: The MarineLives Corpus (May, 2014)

Colin Greenstreet, 'How long did it take?', The Shipping News blog article, Mat 22, 2014