 Video Semantics and the Sensor Web
The most widespread way in which content-based access to video information is supported is through using a combination of video metadata (date, time, format, etc.) and user-generated description (user tags, ratings, reviews, etc.). This has had widespread usage and is the basis for navigation through video archives in systems such as YouTube, Open Video and the Internet Archive. However,
there are limitations with this such as vocabulary issues, and authentication across the users who annotate content. Our work has concentrated on addresing content-based video retrieval, the kind of direct retrieval we routinely perform on text, retrieving web pages or blog posts based primarily on actual content.
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 Discovering and Building Semantic Models of Web Sources[1]
To achieve widespread use of the Semantic Web depends on having a critical mass of Web data available with semantic annotations. Since there are a huge number of sources available today without any such annotations, the challenge is how to find and build semantic models for these sources. In this talk I will describe an integrated end-to-end approach that automatically discovers information-producing web sources, invokes and extracts the data from these sources, builds semantic models of the sources, and validates the results by comparing the data produced by the source with the model of the source. These techniques are implemented in a system called DEIMOS, which integrates a diverse set of technologies to completely automate this task.
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 Tonight's dessert: Semantic Web Layer Cakes
Tim Berners-Lee's "Semantic Web Layer Cake" is one of the most used figures in our field. It has changed numerous times over the years, as new technologies have come along, and as the field has changed. Despite this, it appears to be incomplete - lots happening in the field is not included. In this talk, we take a look at the layer cake as it has changed over time and see what it can tell us about current and future Semantic Web work.
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 Keys, Money and Mobile Phone
Across cultures, genders and generations, the mobile phone has become one of the most essential objects in people's everyday life. In this talk, we will go through evidence on how, next to money and keys, the mobile phone is in fact the thing to be carried around by almost everybody, nearly all the time. By looking at the demands and needs of today's mobile users, we then discuss how Semantic technologies can add value to the phone as well as to mobile services.
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