Duration: 1:05:06

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Many of us interested in supporting effective access to online information are looking at the Semantic Web as a promising technology to improve web-based information sharing and discovery. New models of both capturing information and enabling interaction with that information are made possible with this technology. In this talk, i look at two examples of where Interaction Design and the Semantic Web meet: at the front end is mSpace, an interaction model and software framework to support the exploration of rich relationships in information; and at the place the before the front end is Making Tea, a design elicitation method we developed to help transform centuries-old paper-based practices to digital counterparts. The mSpace interaction model is described through its embodiment in the Semantic Web application, CS AKTive Space. The model provides an interface for heterogeneous Semantic Web sources. mSpaces let users explore information from a point of interest, and then reorient the space to support that focus. The rapid response and visual presentation of context lets users explore richly connected information. This enables rapid task completion, incidental learning, and effective reformulation of goals. Making Tea, a design method and set of projects, comes out of the eScience community of the UK where the Semantic Web and Semantic Grid are enabling scientists to think about new models for sharing experimental data and results beyond the traditional publication of papers. The goal of this new model, called publish@source, supports immediate sharing of both the data and results. In order to get sharable information, however, the data itself must be available in digital form. This requirement means a sea change in wet