The SNAP Project is proud to announce the Ontologies for Prosopography: Who’s Who? or, Who was Who? one-day workshop developed in conjunction with the People of the Founding Era project based at the University of Virginia. The workshop will give the opportunity for SNAP to present our data model to a wider audience and engage with the researchers working on similar problems other periods and geographic areas. Continue reading SNAP at Digital Humanities 2014
One of the conversations that it was really useful to hash out in person and with the involvement of so many experts and interested parties present at the workshop a couple weeks ago, was the question of how the SNAP:DRGN Cookbook should recommend contributing person-datasets represent date information.
It has been our working assumption that the minimalist information SNAP is ingesting would optionally include a single, undifferentiated, very crudely recorded date associated with person. (By the same token, any place information associated with a person would be given only in very blunt form, inasmuch as it serves almost as an extra name, epithet or indentifier for a person. Further more granular place association, à la Pelagios, might be included in the original prosopography, and/or in the exposed RDF serialization of said dataset, but SNAP will only expect and take advantage of associated place in the most abstract form.) The argument may be at its clearest with respect to dating, however, partly because there are so many strong arguments for including more granular and semantic date information in a prosopographic dataset. Continue reading Fluffy dates and associated places
One of the other breakout sessions of the SNAP workshop dealt with Named Entity Recognition. One can wonder whether setting up a Named Entity Recognition procedure from scratch is worth the effort for an after all limited and finite set of full text documents. The experience of Trismegistos People has shown the answer is definitively YES. Continue reading Named Entity Recognition and SNAP
At last week’s SNAP workshop in King’s College London, we had a very successful and enjoyable two-day meeting, introducing the principles of and the preliminary work done by the SNAP:DRGN project in its first three months, and hearing from several potential project partners about their datasets, practices and reactions to our proposals. It was an extremely productive and positive affair, even when discussions sometimes became vigorous! I don’t mean to summarize all of the discussions and outcomes here (a series of blog posts by my colleagues over the next couple of weeks will do more of that), but I will share what I can of the presentations and slideshows that were shown at the workshop. Continue reading Workshop slides and recap
During the SNAP workshop of March 30 and April 1 we had a breakout session on the problem of trying to identify overlaps between the contributing datasets, one of SNAP challenges. Given how diverse the information provided by each will be, this is not a given. What follows is my idiosyncratic survey of what was discussed at the session, with thanks to the participants of course. Continue reading Procedures to identify co-references in contributing datasets