MONK Project
(Created 4/23/09)
About the Authors:
Salman Bakht is a new media artist and composer currently studying in the Media Arts and Technology Program at UC Santa Barbara. Salman’s work focuses on the reuse and transformation of recorded audio using algorithmic composition methods. He is interested in creating art which analyzes, represents, and integrates with the physical environment and the media landscape.
Pehr Hovey is an algorithmic artist and researcher interested in the intersection of arts and technology. He is studying the mapping between audio and visual domains and how visual stimuli can be tightly integrated with the aural environment. He recently graduated with degrees in Computer Science and Computer Engineering from Washington University in Saint Louis and is currently a Masters student in Media Arts & Technology at UC-Santa Barbara.
Kris McAbee [Under Construction]
Summary
MONK, which stands for “Metadata Offer New Knowledge,” is a single digital environment of literary texts that endeavors to make “modern forms of text analysis and text mining accessible to humanities scholars” {1}. The metadata associated with any given document in the MONK environment ranges from data about individual words, to data about discursive organization, to bibliographic data. MONK offers the ability to read back and forth between these different levels of data and, therefore, to read as closely or as distantly as one wants. The current collection of texts in the MONK prototype consists of about 1200 works, including approximately 500 texts of various genres published between 1533 and 1625, alongside about 700 works of English and American fiction from about 1550 to 1923. Fundamentally, MONK assumes that operating through “coarse but consistent encodings across many texts in a heterogeneous document environment” offers significant scholarly benefit. The single environment that will bundle these operations for this large collection of texts will be housed at http://monkproject.org. (more…)