Contextual Metadata in Practice

This article aims to survey the scene of contextual metadata annotation of digital content. This is performed through a literature review of current research, looking closer at formal context models, contextual metadata gathering and contextual metadata formalisation respectively. The findings of these efforts indicate that the reviewed context models have three elements of context in common. However, these formal models are inconsistent with the contextual metadata gathered in approaches described in the reviewed literature, in which location metadata are the most common. Furthermore, contextual metadata gathered in these initiatives end up in a variety of data structures. One reason for the dominance of location metadata might be the clear understanding of their ontological dimension. Therefore, the author introduces the notion of ontological dimensions in the area of contextual metadata. The proposed notion of conceiving contextual metadata as a set of ontological dimensions makes it possible to divide the endeavour of formalising elements of context into manageable information chunks. Through identifying and reaching a consensus of the constituent parts of these dimensions, it is the belief of the author that we are well on our way towards improved interoperability, metadata interpretability and digital content reusability facilitated by contextual metadata.

[1]  Spyros Lalis,et al.  Automated context aggregation and file annotation for PAN-based computing , 2005, Personal and Ubiquitous Computing.

[2]  Marc Davis,et al.  Metadata creation system for mobile images , 2004, MobiSys '04.

[3]  Susanne Boll,et al.  Semantics, content, and structure of many for the creation of personal photo albums , 2007, ACM Multimedia.

[4]  Albrecht Schmidt,et al.  There is more to context than location , 1999, Comput. Graph..

[5]  Jonathan Trevor,et al.  Exploiting space and location as a design framework for interactive mobile systems , 2000, TCHI.

[6]  Tadashi Miyosawa,et al.  Exploiting Users' Personal and Public Information for Personal Photo Annotation , 2007, 2007 IEEE International Conference on Multimedia and Expo.

[7]  Vasile-Marian Scuturici,et al.  An Ontology-Based Approach to Context Modeling and Reasoning in Pervasive Computing , 2007, Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07).

[8]  Marcelo Milrad,et al.  Mobile Collaboration Tools and Systems to Support Ubiquitous Learning , 2008 .

[9]  Alexandros Ntousias,et al.  Rich metadata and context capturing through CIDOC/CRM and MPEG-7 interoperability , 2008, CIVR '08.

[10]  Fernando Pereira,et al.  Multimedia Retrieval and Delivery: Essential Metadata Challenges and Standards , 2008, Proceedings of the IEEE.

[11]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.

[12]  Martin Svensson,et al.  Making Use of User-Generated Content and Contextual Metadata Collected during Ubiquitous Learning Activities , 2008, 2008 Eighth IEEE International Conference on Advanced Learning Technologies.

[13]  Fergal Monaghan,et al.  Generating Useful Photo Context Metadata for the Semantic Web , 2006, 7th International Conference on Mobile Data Management (MDM'06).

[14]  Mor Naaman,et al.  Context data in geo-referenced digital photo collections , 2004, MULTIMEDIA '04.

[15]  Jane Yung-jen Hsu,et al.  Point-of-capture archiving and editing of personal experiences from a mobile device , 2007, Personal and Ubiquitous Computing.

[16]  Kang G. Shin,et al.  Context-aware metadata creation in a heterogeneous mobile environment , 2005, NOSSDAV '05.

[17]  Arianit Kurti,et al.  Context modeling to support the design of mobile learning , 2008, CSTST.