An approach focussed on resolving identity of
subjects in a photo using mobile device connectivity
and semantics is presented in this paper. Semantic
Web and mobile device sensors are combined to
provide meaningful photo annotation metadata that
can be used to recall photos from the Web. Useful
metadata can be gleaned from the environment at the
time of capture and inferred from previous metadata
tapped from existing sources.
This paper presents an approach to semi-automate photo annotation. Instead of using content-recognition techniques this approach leverages context information available at the scene of the photo such as time and location in combination with existing photo annotations to provide suggestions to the user. An algorithm exploits a number of technologies including Global Positioning System (GPS), Semantic Web, Web services and Online Social Networks, considering all information and making a best-eort attempt to suggest both people and places depicted in the photo. The user then selects which of the suggestions are correct to annotate the photo. This process accelerates the photo annotation process dramatically which in turn aids photo search for a wide range of query tools that currently trawl the millions of photos on the Web.
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This paper presents the results of a case study of a (perceived) problem of information overload from e-mail in a large firm. We argue that for CMCs to be effective there is a need to establish a ‘context’ in which the message can be interpreted.
This paper examines learning among museum staff involved in exhibition development in four European natural history museums. It draws upon a larger body of research undertaken for the Mirror project, a European Commission Framework Programme 5 Information
The MIRROR project explores the mirroring of the learning interactions of individuals within communities of practice (CoP) through the use of technologies. The specific context explored within the project is that of museum natural scientists.
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J. Choi, A. Khlif, и E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), стр. 23--27. Online, Association for Computational Linguistics, (2020)
J. Choi, A. Khlif, и E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), стр. 23--27. Online, Association for Computational Linguistics, (2020)
O. Barkan, T. Shaked, Y. Fuchs, и N. Koenigstein. User Modeling and User-Adapted Interaction, (01.08.2023)This is how much you need to do if you have no user control options....
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J. Attard, S. Scerri, I. Rivera, и S. Handschuh. Proceedings of the 9th International Conference on Semantic Systems, стр. 113--120. New York, NY, USA, ACM, (2013)
J. Attard, S. Scerri, I. Rivera, и S. Handschuh. Proceedings of the 9th International Conference on Semantic Systems, стр. 113--120. New York, NY, USA, ACM, (2013)
A. Novotny, и C. Bauer. 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS2017), стр. 301-310. New York, NY, USA, ACM, (декабря 2017)