Difference between revisions of "Tools: Team Three"
m (ColinGreenstreet moved page Tools: Team 3 to Tools: Team Three without leaving a redirect) |
|||
| Line 1: | Line 1: | ||
'''Team three: visualisation of historical data''' | '''Team three: visualisation of historical data''' | ||
| − | + | __TOC__ | |
| + | |||
| + | ==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 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. | ||
| Line 11: | Line 13: | ||
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 | 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 | ||
| + | |||
| + | ---- | ||
| + | ==Useful Links== | ||
| + | |||
| + | [https://en.wikipedia.org/wiki/Natural_language_processing Natural Language Processing Wikipedia article] | ||
| + | |||
| + | [https://www.academia.edu/6551336/Dominique_Ritze_Caecilia_Zirn_Colin_Greenstreet_Kai_Eckert_Simone_Paolo_Ponzetto_Named_Entities_in_Court_The_Marine_Lives_Corpus_May_2014_ Dominique Ritze et al., Named Entities in Court: The MarineLives Corpus (May, 2014)] | ||
Revision as of 10:30, June 26, 2016
Team three: visualisation of historical data
Contents
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
Useful Links
Natural Language Processing Wikipedia article
Dominique Ritze et al., Named Entities in Court: The MarineLives Corpus (May, 2014)
