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)
As a result of the anonymity in todays Web search, it is not possible to receive a personalized search result. Neither prior search results nor search results from other users are taken into consideration. In order to resolve this anonymity towards the search engine, a system is created which locally stores the search results in the scope of a peer-to-peer(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 het-erogeneity of highly dynamic Web content. Currently, users select a Web search engine by their individual preferences and the(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)
Knowledge Management Systems (KMSs) are of increasing interest in economy to collect, store and re–use company–relevant knowledge as a resource to gain productivity. In this paper we demonstrate how to leverage structured information for its efficient re–use. We propose the development of ontologies to represent the knowledge to be stored. As it is anyhow(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)
Due to the anonymity of the user during Web searching, no support for long-term information needs exists. First attempts for per-sonalized 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)