AsafBartovTEI2011

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Asaf Bartov

About me

I work for the Wikimedia Foundation. In the past, have consulted for the National Library of Israel. I run a hebrew public domain text repository (resembling Project Gutenberg). I am a trained software developer, and enjoy hacking on free and open source software.

Asaf Bartov.jpg

Affiliation

Wikimedia Foundation; Project Ben-Yehuda

I can represent:

  • non-scholarly textual repositories and amateur digital libraries
  • Wikipedia
  • open source developers interested in developing and sharing tools

Your Pitch

Interoperability Defined

Interoperability should mean: maximal adherence to the ideal of total accessibility of data. Total accessibility means:

  • accessible in a variety of channels
  • accessible in a variety of protocols
  • accessible by a variety of users (including "random", unaffiliated users)
  • available for unanticipated [re-]use
  • accessible in small chunks (allow re-use of just one element/section)
  • tools are made available for re-use and improvement/extension by other practitioners.
  • collaboration with amateur and non-scholarly partners is welcome and appreciated. (e.g. Wikipedia, mass transcription communities, LibraryThing, Open Library, etc.)

It is understood that not all projects/groups can adhere to this ideal totally -- there are institutional, legal, and monetary concerns that may get in the way.

Interoperability as Virtuous Cycle

  • Most TEI-based scholarly projects are creating mark-up that is unique to their work, their research interest, and their technical needs (e.g. metrical analysis, lexical glosses, biographical notes).
  • Such projects cannot therefore expect to find a complete suite of tools to use in their project.
  • They can, however, find tools for partial tasks related to their work, e.g. lexical plug-ins, visualization mechanisms
  • The more such projects share their work -- including making an additional bit of effort in packaging chunks of their technical work as tools for others, releasing some of their data sets in a way easy to re-use -- the more likely it will gradually become that a future project would find more useful tools covering a larger (never 100%!) portion of their needs.