MARKUS

MARKUS is a reading and text analysis platform with a wide range of functionality. MARKUS was selected as a runner up in the category Best Tool of Suite of TOOLS in the DH2016 awards. [Try MARKUS][4] or [Login to MARKUS][5] now! [4]: http://dh.chinese-empires.eu/beta [5]: http://dh.chinese-empires.eu/auth

Features

Automated tagging

Automated tagging and identification of Chinese personal and place names, time references, bureaucratic offices, and Buddhist terms.

Manual tagging

Manual and batch tagging with custom tags.

Keyword tagging

Keyword tagging with user-supplied keyword lists, keyword in context (KWIC), or regular expressions in all languages.

Keyword clipper

Generation of keywords for tagging based on text analysis (keyword clipper developed by Tu Hsieh-Chang at National Taiwan University).

Content filtering

Flexible filtering of tagged content.

Online reference tools

Links to a range of online reference tools including geographical and biographical databases and language and domain-specific dictionaries for online reading.

Text export

Export to several formats including html and TEI to ensure interoperability.

Online storage

Free file storage and management of MARKUS files in personal accounts.

Text import

Text import from textual databases such as Donald Sturgeon's ctext.org (by chapter or, at universities backing ctext by book).

Data Export

Export of tagged content and linked data from China Biographical Database to visualization platforms for exploration and analysis of tagged content in the associated VISUS visualization interface (maps, network graphs, tables, timelines, pie charts, tagclouds).

Docusky

Export of MARKUS files for aggregation, combination with metadata or other files, and aggregate or comparative tag and text analysis in Docusky, a platform for the creation of textual databases developed by Tu Hsieh-Chang et al. at National Taiwan University.

Geoport

Export of MARKUS files with identified place names to Geoport, a platform developed by Tu Hsieh-Chang et al. at National Taiwan University for basic spatial analysis and conversion of all MARKUS spatial data for use in more advanced GIS software.

Comments in text

Creation and export of comments (e.g. translations, metadata, to do’s).

Machine learning

Machine learning to improve accuracy and recall for large corpora.

History

MARKUS was originally developed as part of the project [Communication and Empire] [1] (funded by the European Research Council). It was first designed to automate the markup of different kinds of named entities (personal names, place names, temporal references, and official titles), and currently exists in beta with the funding provided through the [NEH-DID][2] scheme. [1]: http://chinese-empires.eu [2]: http://diggingintodata.org/awards/2013

About & License

MARKUS is written in HTML5 and JavaScript under the GNU Affero General Public License (v3 or later). For details, please see the file LICENSE.txt in the root directory of this software package.

Links

• Bol, Peter K., Michael Fuller, et al. China Biographical Database Project (CBDB) (2004–). http://isites.harvard.edu/icb/icb.do?keyword=k16229&pageid=icb.page12970
• Bol, Peter K.,Lex Berman, et al. China Historical GIS (2001–). http://www.fas.harvard.edu/~chgis/
• Bol, Peter K.,Center for Historical Geography at Fudan University, ACASIAN at Griffith University, et al. Hartwell - China History Project GIS (1992–2001). http://www.fas.harvard.edu/~chgis/
• Humanities + Design Research Lab at Stanford University. Palladio (2014-). http://palladio.designhumanities.org
• Max-Planck-Institute for the History of Science. PLATIN. http://skruse.github.io/PLATIN/
• Donald Sturgeon. Chinese Text Project. 2006- http://ctext.org.
• Tu Hsieh-Chang, Hsiang Jieh et al. Docusky. http://docusky.digital.ntu.edu.tw/
• Huimin Bhikṣu, Aming Tu, Marcus Bingenheimer, Jen-Jou Hung, et al. Buddhist Studies Authority Database Project http://authority.dila.edu.tw/ 2008-