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- W28280215 abstract "Within specific domains, users generally face the challenge to populate an ontology according to their needs. Especially in case of novelty detection and forecast, the user wants to integrate novel information contained in natural text documents into his/her own ontology in order to utilise the knowledge base in a further step. In this paper, a semantic document ranking approach is proposed which serves as a prerequisite for ontology population. By using the underlying ontology for both query generation and document ranking, query and ranking are structured and, therefore, promise to provide a better ranking in terms of relevance and novelty than without using semantics." @default.
- W28280215 created "2016-06-24" @default.
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- W28280215 date "2013-01-01" @default.
- W28280215 modified "2023-09-26" @default.
- W28280215 title "Ontology-Supported Document Ranking for Novelty Search" @default.
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- W28280215 doi "https://doi.org/10.1007/978-3-642-38288-8_43" @default.
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