Heather Packer

By Dr. Heather Packer, Research fellow, the University of Southampton.

After attending both the International Semantic Web Conference (ISWC) and the Joint International Semantic Technology Conference (JIST), I considered what this meant for research and development in this exciting area.

Some of the most interesting work presented at ISWC and JIST were in the areas of cultural heritage, such as the recording of personal stories, and integrating historic maps with new timelines. This was highlighted in the opening keynote at JIST, which was given by Eero Hyvönen of Aalto…

By Heather Packer, Agent and Research fellow at the University of Southampton.

When I was around the age of ten, I remember reading books where you could make decisions that would influence the story. I hadn't given this much thought until I attended the Narrative and Hypertext workshop. At the workshop, I saw various systems that allowed people to author a story using hyperlinks to develop or explore a narrative. Why isn't this kind of storytelling more widespread? I haven't yet found any such books for my Kindle Touch.

Authoring hypertext fiction is less…

By Heather Packer, Agent and research fellow at the University of Southampton.

Extending existing code bases can be problematic and time confusing due to a lack of documentation and comments, and a lack of clarity of the workflow between components. I have spent the last couple of months extending RoboCup Rescue - the standard, multi-agent search and rescue simulation platform - so that it contains more detailed and realistic information that can be modelled with ontologies. My extension enables agents to learn new information from these ontologies, and make choices based on the…

Heather Packer, one of our Agents, asks whether current facial recognition software could help identify  criminals.

The recent London riots and the BBC's Crime Watch special, which focused on video footage of the rioters so the public could help identify them, led me to think about whether there was a feasible automated solution using facial recognition software.

There are many problems that prevent a face recognition algorithm from successfully identifying a person from a digital image. The occlusion of facial features such as the nose or eyes from images, different…

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