- Carnegie Mellon University,
- University of California at Berkeley,
- University of California at Santa Barbara,
- University of Illinois at Urbana-Champaign,
- University of Michigan, and
- Stanford University.
deep semantic interoperability—the ability of a user to access, consistently and coherently, similar (though autonomously defined and managed) classes of digital objects and services, distributed across heterogeneous repositories, with federating or mediating software compensating for site-by-site variations.... Achieving this will require breakthroughs in description as well as retrieval, object interchange and object retrieval protocols. Issues here include the definition and use of metadata and its capture or computation from objects (both textual and multimedia), the use of computed descriptions of objects, federation and integration of heterogeneous repositories with disparate semantics, clustering and automatic hierarchical organization of information, and algorithms for automatic rating, ranking, and evaluation of information quality, genre, and other properties.
We don't know how to approach scaling as a research question, other than to build upon experience with the Internet. However, attention to scaling as a research theme is essential and may help in further clarifying infrastructure needs and priorities, as well as informing work in all areas of the research agenda outlined above.... There was consensus on the need to enable large-scale deployment projects (in terms of size of user community, number of objects, and number of repositories) and subsequently to fund study the effectiveness and use of such systems. It is clear that limited deployment of prototype systems will not suffice if we are to fully understand the research questions involved in digital libraries.