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Auflistung nach Autor:in "Hinze, Annika"

1 - 3 von 3
  • Konferenzbeitrag
    Traditional pre-fetching and caching of limited use for mobile applications
    (Mobile und Ubiquitäre Informationssysteme – Entwicklung, Implementierung und Anwendung, 2009) Michel, Yann; Hinze, Annika
    This paper reports our experiences introducing location and context aware caching and pre-fetching for a mobile tourist information system. An extensive evaluation and comparison of selected caching and pre-fetching strategies has been carried out in this mobile environment. We discuss why the consideration of locationawareness is less influential and thus less successful than expected and hoped for.
  • Konferenzbeitrag
    Travel recommendations in a mobile tourist information system
    (Information systems technology and its applications, ISTA' 2005, 2005) Hinze, Annika; Junmanee, Saijai
    An advanced mobile tourist information system delivers information about sights and events on a tourists travel route. The system should be personalized in its interaction with the tourist. Data that can be used for personalization are: the tourists interest profile, an analysis of their travel history, and the tourists feedback about sights. Existing mobile information systems for tourists do not tailor their information delivery to the tourists interests. In this paper, we propose the use of personalised recommendations that consider all of the personal information a tourist provides. We adopt and modify techniques from recommender systems to the new application area of mobile tourist information. We propose a number of methods for personalised recommendations; and select a subset of these for implementation. This paper then presents the implemented recommender component of our TIP system for mobile tourist information.
  • Konferenzbeitrag
    Visualisation of semantic enrichment
    (INFORMATIK 2012, 2012) Schlegel, Alexa; Heese, Ralf; Hinze, Annika
    Automatically creating semantic enrichments for text may lead to annotations that allow for excellent recall but poor precision. Manual enrichment is potentially more targeted, leading to greater precision. We aim to support nonexperts in manually enriching texts with semantic annotations. Neither the visualisation of semantic enrichment nor the process of manually enriching texts has been evaluated before. This paper presents the results of our user study on visualisation of text enrichment during the annotation process. We performed extensive analysis of work related to the visualisation of semantic annotations. In a prototype implementation, we then explored two layout alternatives for visualising semantic annotations and their linkage to the text atoms. Here we summarise and discuss our results and their design implications for tools creating semantic annotations.