Abstract. The Cervantes Project, housed under the auspices of the Center for the Study of Digital Libraries at Texas A&M University, aims to provide a comprehensive on-line research and reference site on the life and works of the author Miguel de Cervantes Saavedra (1547-1616). This activity is a joint collaboration among researchers in the Department of Computer Science and the Department of Modern and Classical Languages, Texas A&M University. This paper outlines the work being conducted by the project, focusing on the creation of an Electronic Variorum Edition of Cervantes' Don Quixote.

The Cervantes Project is creating an Electronic Variorum Edition (EVE) of Cervantes' well-known Don Quixote de la Mancha, published beginning in 1605. In this paper, we report on visualizations of features of a text collection that help us validate our text transcriptions and understand the relationships among the different printings of an edition.

We report on our observations of annotations for use in scholarly communication, rather than for use as personal artifact. Scholarly annotations reflect uses that predate digital representations and benefit from formalized structure. Scholarly annotations may originate from a broader set of sources than personal annotations, and their association with texts may result from inferences rather than from explicit specifications.

Abstract. As part of the Cervantes Project digital library, we are developing an Electronic Variorum Edition (EVE) of Don Quixote de la Mancha. Multiple editors can create an EVE with our Multi Variant Editor for Documents (MVED), which allows collation of one base text against several comparison texts to identify, link and edit all existing variants among them. In this context we are investigating the use of visualizations to depict graphically variants in order to validate the accuracy of the textual transcriptions and to understand the similarities and differences among different printings and editions. Our broader goal is to enable users to analyze the collation's results and to discover facts about the evolution of the Quixote textual history, and to provide evidence to eliminate printing and compositor's errors and thus to produce a more correct edition closer to Cervantes' original manuscript. This paper describes the visualization tool, and presents the initial results of its use.

Abstract. In this paper we describe ItLv (Interactive Timeline Viewer), a visualization tool currently used to depict the variants obtained in a textual collation. A textual collation is a process in which a base text is compared against several comparison texts to identify differences (variants) among them. The interactive options of ItLv provide different abstractions of a dataset by enabling the presentation and exploration of the relationships that exist within the dataset. Applying ItLv to the dataset resulting from a collation therefore helps understand the relationships among the texts. The example dataset used in this paper is a collation of six early editions of Cervantes' Don Quixote.