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Automatically captured autobiographical metadata


W3c semantic web stack

W3c semantic web stack (Photo credit: Wikipedia)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Automatically captured autobiographical metadata : Mischa Tuffield (2006)

Faculty of Engineering, science and mathematics. School of Electronics and Computer Science. Intelligence, Agents, Multimedia Group.

Supervisors: Nigel Shadbolt, David Millard.

Those who know me well will understand why this subject fascinates me – a diarist since I was 13, blogging since 1999 and recently completed a Master’s Degree in Open and Distance Education with the Open University. Over a decade ago I registered domain names like ‘The Contents of My Mind’ and ‘TCMB’ but didn’t know how to take my enthusiasm and turn it into a research project or product.

Know I do … or nearly do.

There’s a reason to this day why I blog as ‘My Mind Bursts’.

Current reading is on the combined themes of memory support, lifelogging, augmented learning and virtual companions – there’s considerable overlap into supporting those with diminishing senses or memory with illness or old age, as well as enhancing the learning and information retrieval and manipulation process.

An infrastructure for capturing and exploitation of personal metadata to drive research into context aware systems.

  • Capture of personal experiences
  • Context aware systems
  • Multimedia annotation systems
  • Narrative generation
  • Semantic Web enabling technologies
  • A contextual log of a user’s digital life.
  • To facilitate auto–biographical narrative generation.

Towards a methodology for the capture and storage of personal metadata and is proposed as a framework for multimedia asset management.

PROBLEM

Information overload, or infosmog (Shadbolt and O’Hara, 2003)

A liberation of personal information.

  • Ease of publishing. (House and Davis, 2005)
  • Towards a web–accessibke Knowledge Base (KB)
  • Photocopain.
  • Adhereance to as many W3C recommendations as possible.
  • Semantic Web (Berners–Lee et al, 2001)

Scientific American article to assemble and integrate personal information into web accessible resources (Shadbolt et al., 2006)

Exposing information in a structured snd standard form … using Resource Description Framework (RDF) Manola and Miller, 2004)
Universal Resource Identifier (URI)
Friend of a Friend (FOAF)
Memories for Life (M4L)
Semantic Squirrels Group (SSSIG)

Image classification, content–based indexing and retrieval,
Content and context based services

  • Marc Davis (2004a)
  • Spatial
  • Temporal
  • Social

Design methods to generate narratives from bespoken knowledge bases

  • Alani et al., 2003
  • Geurts et al., 2003
  • Mulholland et al., 2004

so automatically, not hand– crafted metadata.

The Semantic Logger (Tuffield et al., 2006a)

Photo annotation
Recommender system (Tuffield et al., 2006a) and (Loizou and Dasmahaptra, 2006)
Posting of data to the knowledge database.

By virtue of knowledge integration alone, added value emerges. (Tuffield,  2006.  p. 20)

Community of practice identification (Alani et al., 2003a)

Simile Project at MIT

(As a diarist since I was 13 I came to seek a way to say enough to recall the day. I needed the trigger, not the detail. The boring stuff might not work as such a trigger).

Clustering algorithms

FURTHER LINKS TO EXPLORE

The World Wide Web Consortium

The AKT project

Friend of a Friend 

The Memories for Life Network 

The Semantic Squirrels SIG

The Semantic Logger Downloads Page 

The Semantic Logger

Simile Project

3RDFizers

Open Knowledge Project

Google Maps API

The Flickr API

Wikipedia Categories

Work undertaken my Marc Davis at Berkeley provides insight into how context can be combined with content to aid the identification of faces inside photographs (Davis et al., 2006).

FURTHER RESEARCH

I am proposing the design of a human centric personal image search and browsing task, similar to that undertaken by Mor Naaman (Naaman et al., 2004). This is presented as a manner of evaluating the utility of the various asset management. The results of this experiment is intended as a contribution to the identification of useful automatically captured metadata to aid memory recall.

REFERENCES

T. Berners-Lee, J. Hendler, and O. Lassila. The Semantic Web. Scientific American, 284(5), May 2001.

Marc Davis, Michael Smith, Fred Stentiford, Adetokunbo Bambidele, John Canny, Nathan Good, Simon King, and Rajkumar Janakiraman. Using context and similarity for face and location identification. In Proceedings of the IS&T/SPIE 18th Annual Symposium on Electronic Imaging Science and Technology Internet Imaging VII. IS&T/SPIE Press, 2006.

J. Gemmel, G. Bell, R. Lueder, S. Drucker, and C. Wong. MyLifeBits: fulfilling the memex vision. In MULTIMEDIA ’02: Proceedings of the 10th ACM international conference in Multimedia, pages 235–238, 2002.

J. Gemmell, A. Aris, and R. Lueder. Telling stories with MyLifeBits. ICME 2005, 8: 6–9, July 2005.

Carsten Rother, Sanjiv Kumar, Vladimir Kolmogorov, and Andrew Blake. Digital tapestry. In CVPR ’05: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) – Volume 1, pages 589–596, Washington, DC, USA, 2005. IEEE Computer Society. ISBN 0-7695-2372-2.

L. Sauermann, A. Bernandi, and A. Dengel. Overview and outlook on the semantic desktop. In Proc. of Semantic Desktop Workshop at the ISWC, 2005.

N. Shadbolt and K. O’Hara. AKTuality: An overview of the aims, ambitions and assumptions of the advanced knowledge technologies interdisciplinary research collaboration. AKT Selected Papers 03, pages 1–11, 2003.

Nigel R. Shadbolt, Wendy Hall, and Tim Berners-Lee. The Semantic Web: Revisted. IEE-Intelligent System, 21(3):96–101, May 2006.

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