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This paper discusses an approach to the problem of annotating multimedia content. Our approach provides annotation as metadata for indexing, retrieval and semantic processing as well as content enrichment. We use an underlying model for structured multimedia descriptions and annotations, allowing the establishment of spatial, temporal and linking relationships. We discuss aspects related with documents and annotations used to guide the design of an application that allows annotations to be made with pen-based interaction with Tablet PCs. As a result, a video stream can be annotated at the same time that it is captured. Moreover, the annotation can be edited, extended or played back synchronously afterwards.

As an approach that applies not only to support user navigation on the Web, recommender systems have been built to assist and augment the natural social process of asking for recommendations from other people. In a typical recommender system, people provide suggestions as inputs, which the system aggregates and directs to appropriate recipients. In some cases, the primary computation is in the aggregation; in others, the value of the system lies in its ability to make good matches between the recommenders and those seeking recommendations.In this paper, we discuss the architectural and design features of WebMemex, a system that (a) provides recommended information based on the captured history of navigation from a list of people well-known to the users -including the users themselves, (b) allows users to have access from any networked machine, (c) demands user authentication to access the repository of recommendations and (d) allows users to specify when the capture of their history should be performed.