Elli MYLONAS, managing editor, Perseus Project, Harvard University, first gave an overview of Perseus, a large, collaborative effort based at Harvard University but with contributors and collaborators located at numerous universities and colleges in the United States (e.g., Bowdoin, Maryland, Pomona, Chicago, Virginia). Funded primarily by the Annenberg/CPB Project, with additional funding from Apple, Harvard, and the Packard Humanities Institute, among others, Perseus is a multimedia, hypertextual database for teaching and research on classical Greek civilization, which was released in February 1992 in version 1.0 and distributed by Yale University Press. Consisting entirely of primary materials, Perseus includes ancient Greek texts and translations of those texts; catalog entries--that is, museum catalog entries, not library catalog entries--on vases, sites, coins, sculpture, and archaeological objects; maps; and a dictionary, among other sources. The number of objects and the objects for which catalog entries exist are accompanied by thousands of color images, which constitute a major feature of the database. Perseus contains approximately 30 megabytes of text, an amount that will double in subsequent versions. In addition to these primary materials, the Perseus Project has been building tools for using them, making access and navigation easier, the goal being to build part of the electronic environment discussed earlier in the morning in which students or scholars can work with their sources. The demonstration of Perseus will show only a fraction of the real work that has gone into it, because the project had to face the dilemma of what to enter when putting something into machine-readable form: should one aim for very high quality or make concessions in order to get the material in? Since Perseus decided to opt for very high quality, all of its primary materials exist in a system-independent--insofar as it is possible to be system-independent--archival form. Deciding what that archival form would be and attaining it required much work and thought. For example, all the texts are marked up in SGML, which will be made compatible with the guidelines of the Text Encoding Initiative (TEI) when they are issued.