Melanie Gnasa

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We research whether the inclusion of information about an information user’s social environment and his position in the social network of his peers leads to an improval in search effectiveness. Traditional information retrieval methods fail to address the fact that information production and consumption are social activities. We ameliorate this problem by(More)
With the emergence of mobile devices, Web services are made available for users in nearly all situations of every day life. While the WWW offers a multitude of Web services there is a lack of search engines which support the users in finding adequate services out of the bulk of available Web services. Within this paper, we will introduce a context-sensitive(More)
In the context of large homogeneous retrieval systems, metrics like precision and recall have been established to assess the effectiveness. Nevertheless, measuring Web search effectiveness is a new challenge regarding the heterogeneity of highly dynamic Web content. Currently, users select a Web search engine by their individual preferences and the(More)
While electronically available data have played an important role in the natural sciences for a long time, the impact of data and information on the humanities and culture has become clear only recently. Progress in computer science has made it possible to digitize the objects of research from these disciplines so that they can be made available(More)
Information acquisition is a great challenge in the context of a continually growing Web. Nowadays, large Web search engines are primarily designed to assist an information pull by the user. On this platform, only actual information needs are handled without assistance of long-term needs. To overcome these shortcomings we propose a cooperative system for(More)
Traditional information retrieval methods fail to address the fact that information consumption and production are social activities. Most Web search engines do not consider the socialcultural environment of users’ information needs and the collaboration between users. This dissertation addresses a new search paradigm for Web information retrieval denoted(More)
Due to the anonymity of the user during Web searching, no support for long-term information needs exists. First attempts for personalized Web retrieval are made, however these approaches are limited to static objects and no individual recommendations from a dynamic data set can be determined. Peer-to-peer architectures build a promising platform for a(More)
ISKODOR integrates personal collections, peer search, and centralized search services. User modeling in ISKODOR fills three roles: discovery of sites with suitable information stores, context-based query interpretation, and automatic profile-based filtering of new information. Explanation and control are achieved through graphical depiction of sources,(More)