Martin Röscheisen

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In this paper, we present an architecture, called "ComMentor", which provides a platform for third−party providers of lightweight super−structures to material provided by conventional content providers. It enables people to share structured in−place annotations about arbitrary on−line documents. The system is part of a general "virtual document"(More)
People keep pieces of information in diverse collections such as folders, hotlists, e-mail inboxes, newsgroups, and mailing lists. These collections mediate various types of collaborations including communicating, structuring, sharing information, and organizing people. Grassroots is a system that provides a uniform framework to support peopleÕs(More)
We introduce a framework for access/action control which shifts the emphasis from the participants to their relationships. The framework is based on a communication model in which participants negotiate the mutually agreed-upon boundary conditions of their relationships, and create social reference points by encapsulating them in compact "communication(More)
We outline the five main research thrusts of the Stanford Digital Library project, and we describe technical details for two specific efforts that have been realized in prototype implementations. First, we describe how we employ distributed object technology to cope with interopera-bility among emerging digital library services. In particular, we describe(More)
The Stanford InfoBus is a prototype infrastructure developed as part of the Stanford Digital Libraries Project to extend the current Internet protocols with a suite of higher-level information management protocols. This paper surveys the five service layers provided by the Stanford InfoBus: protocols for managing items and collections (DLIOP), metadata(More)
We describe the interaction design for a set of facilities that enable users of an augmented version of the NCSA Mosaic browser to read, write, and filter for annotations on arbitrary segments of WorldWide Web documents, and share them with any other such user. INTRODUCTION Shared annotations associated with networked information resources allow people to(More)
In a Bayesian framework, we give a principled account of how domain-specific prior knowledge such as imperfect analytic domain theories can be optimally incorporated into networks of locally-tuned units: by choosing a specific architecture and by applying a specific training regimen. Our method proved successful in overcoming the data deficiency problem in(More)