The goal of this thesis was to create an extension for the Enterprise-Search-System of the Fraunhofer Institute for Computer Graphics Research (IGD), enabling the semantical linking of documents to improve the overall search-quality. For this purpose a concept for recognition and classification of proper names and for their visualization within the search-platform was created. Additionally, classes of proper names were identified, depending on their potential to improve search-quality. Based on an existing rule-based approach of Named Entity Recognition (NER), a new NER-Application, focussed on characteristical documents used at the IGD, was developed. To be able to use the identified proper names as facets in the search-platform, the own NER-approach was integrated into the indexing-pipeline of the search-platform. At the end, the own NER-approach was evaluated and compared to other existing NER-approaches
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