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Auflistung nach Autor:in "Lommatzsch, Andreas"

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  • Konferenzbeitrag
    An architecture for smart semantic recommender applications
    (11th International Conference on Innovative Internet Community Systems (I2CS 2011), 2011) Lommatzsch, Andreas; Plumbaum, Till; Albayrak, Sahin
    With the growing availability of semantic datasets, the processing of such datasets becomes the focus of interest. In this paper, we introduce a new architecture that supports the aggregation of different types of semantic data and provides components for deriving recommendations and predicting relevant relationships between dataset entities. The developed system supports different types of data sources (e.g. databases, semantic networks) and enables the efficient processing of large semantic datasets with several different semantic relationship types. We discuss the presented architecture and describe an implemented application for the entertainment domain. Our evaluation shows that the architecture provides a powerful and flexible basis for building personalized semantic recommender systems.
  • Konferenzbeitrag
    From community towards enterprise – a taxonomy-based search for experts
    (9th International Conference On Innovative Internet Community Systems I2CS 2023, 2009) Eichler, Gerald; Lommatzsch, Andreas; Strecker, Thomas; Ploch, Danuta; Strecker, Conny; Wetzker, Robert
    In this paper we introduce a version of the Spree expert finding framework [BAA+07] tailored for enterprises. Whereas expert finding services have been very successful on the Web, enterprise level solutions are still scarce. This comes as a surprise, as the process of finding the right person (to ask) among colleagues requires a considerable percentage of most employees' time yielding a high potential for optimization. The core of Spree is an expert finding algorithm that automatically maps questions to the most qualified experts using a domain-specific topic taxonomy as intermediate. Apart from the framework itself, we describe the challenges and design decisions that have to be taken into consideration when implementing expert finding solutions in enterprises. These include the selection of an appropriate domain taxonomy, the motivation of employees to share their knowledge and privacy related concerns.