Collaboratories consisting of systems of information tools are increasingly important as mediators of joint work in distributed groups. These systems should be constructed in a testbed development process. Such a process is far from trivial, and must be continuously improved. To aid in this improvement process, a tool context model is presented, in which the information system, work, design, and improvement contexts of the information tools making up a collaboratory can be represented. Using ontological, norm and rule definitions, the links between various context processes can be systematically defined and analyzed, promoting system integration.
Discusses ongoing work with the email archive of the Unrev-II list. Computational methods for determining aboutness of subjects, messages and threads will be tested using the archive contents. Extracted levels of aboutness could then be used in an iterative process to generate facets and to provide conceptual access to the archive. Hypothesis: Tools such as latent semantic analysis, vector space models, traditional concordancing, and self-organizing maps may be worthwhile tools to generate meaningful clusters in the dataset. These clusters would then be used as aids in the human process of facet analysis in order to generate a faceted access structure1 for the conceptual content of the archive or similar textual repositories.
PORT is a project aiming to permit the electronic storage of C.S. Peirce's writings, their conceptual annotation and organization by a restricted number of scholars, and their access, querying and navigation by Web users.
We show how a knowledge-based system such as WebKB could be used as a support for the collaborative conceptual annotation and organization of the documents, or more precisely, of the document elements (e.g. word, sentence, part of image, section) of interest to the users. WebKB permits any Web user to contribute to this work and permit them to collaborate without having to agree on semantic or lexical issues. A user may navigate and query the knowledge of all users or selected (kinds of) users.
Peirce's signs provide a common language for knowledge. Because a Web is essentially a kind of knowledge representation, we argue that our model of Peirce's signs can be useful for a successful implementation of a Pragmatic Web.
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