توضیحات
ABSTRACT
The Data Mining with Criminal Intent (DMCI) project brought together teams from the United States, the United Kingdom, and Canada to create a seamlessly linked digital research environment for working with the Proceedings of the Old Bailey. This environment allows users to 1. Query the 127 million words of trial records available through the Old Bailey Online. 2. Save and manage the result sets in a Zotero account, and then 3. Send the selected texts and results for analysis and visualization to tools like Voyeur More generally, the project explored the tools and infrastructure that will make it possible for the ‘ordinary working historian,’ not currently using these techniques, to integrate text mining and visualization into his or her day-to-day work.
INTRODUCTION
The Data Mining with Criminal Intent (DMCI) project (http://criminalintent.org) brought together three teams from three different countries. Each team provided a complete and complementary digital research resource – the online trial records of the Old Bailey (UK), the bibliographical management software (USA), and the text analysis portal (Canada) – with the shared goal of creating a linked research environment where it would be possible to: 1. Query the Old Bailey site 2. Save different result sets directly to a Zotero library where they could be managed 3. Send the results from Zotero to text analysis and visualization tools like Voyeur In each case, existing tools were augmented and enhanced to allow for seamless integration. More generally, DMCI aimed to discover what tools and infrastructure would enable the ‘ordinary working historian’ (OWH) to integrate text mining into her or his day-to-day work. The Old Bailey contains about 127 million words of text related to past crimes. Knowing that a myriad of unusual and compelling stories can be found in this resource, especially using tools that go beyond reading individual trials, we aimed to construct a way to zoom out to look at statistically significant patterns in the data and to zoom in to consider cases. This white paper begins with a discussion of our technical developments, moves to textual discoveries, considers the challenges and opportunities this model of research presents to historians, and reveals some of the larger historical trends these tools have illuminated in the data.
Year: 2011
Publishe: Final White
By: Dan Cohen, Frederick Gibbs, Tim Hitchcock, Geoffrey Rockwell, Jörg Sander, Robert Shoemaker, Stéfan Sinclair, Sean Takats, William J. Turkel, Cyril Briquet, Jamie McLaughlin, Milena Radzikowska, John Simpson, Kirsten C. Uszkalo
File Information: English Language/ 28Page / size:4,698KB
Download: click
سال : 2011
ناشر : Final White
کاری از : Dan Cohen, Frederick Gibbs, Tim Hitchcock, Geoffrey Rockwell, Jörg Sander, Robert Shoemaker, Stéfan Sinclair, Sean Takats, William J. Turkel, Cyril Briquet, Jamie McLaughlin, Milena Radzikowska, John Simpson, Kirsten C. Uszkalo
اطلاعات فایل : زبان انگلیسی / 28صفحه / حجم : 4,698KB
لینک دانلود : روی همین لینک کلیک کنید
نقد و بررسیها
هنوز بررسیای ثبت نشده است.