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All Outputs (24)

CURIOS Mobile: Linked Data exploitation for tourist mobile apps in rural areas (2015)
Presentation / Conference Contribution
Nguyen, H. H., Beel, D., Webster, G., Mellish, C., Pan, J. Z., & Wallace, C. (2014, November). CURIOS Mobile: Linked Data exploitation for tourist mobile apps in rural areas. Presented at 4th Joint International Conference, JIST 2014, Chiang Mai, Thailand

As mobile devices proliferate and their computational power has increased rapidly over recent years, mobile applications have become a popular choice for visitors to enhance their travelling experience. However, most tourist mobile apps currently use... Read More about CURIOS Mobile: Linked Data exploitation for tourist mobile apps in rural areas.

POWKist: visualising cultural heritage linked datasets. (2015)
Presentation / Conference Contribution
Kay, A., Webster, G., Beel, D. E., & Nguyen, H. H. (2015, January). POWKist: visualising cultural heritage linked datasets. Presented at 2nd Connected Communities Heritage Network Symposium

A collaboration between dot.rural at the University of Aberdeen and the iSchool at Northumbria University, POWkist is a pilot-study exploring potential usages of currently available linked datasets within the cultural heritage domain.
Many privately... Read More about POWKist: visualising cultural heritage linked datasets..

Determining content for unknown users: lessons from the MinkApp case study. (2014)
Presentation / Conference Contribution
Webster, G., Sripada, S. G., Mellish, C., Melero, Y., Arts, K., Lambin, X., & Wal, R. V. D. (2014, April). Determining content for unknown users: lessons from the MinkApp case study. Presented at Third International Conference on Natural Language Generation

If an NLG system needs to be put in place as soon as possible it is not always possible to know in advance who the us-ers of a system are or what kind of in-formation will interest them. This paper describes the development of a system and contextual... Read More about Determining content for unknown users: lessons from the MinkApp case study..