Format:
1 Online-Ressource (ii, 130 Seiten, 4799 KB)
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Illustrationen, Diagramme
Content:
Modern knowledge bases contain and organize knowledge from many different topic areas. Apart from specific entity information, they also store information about their relationships amongst each other. Combining this information results in a knowledge graph that can be particularly helpful in cases where relationships are of central importance. Among other applications, modern risk assessment in the financial sector can benefit from the inherent network structure of such knowledge graphs by assessing the consequences and risks of certain events, such as corporate insolvencies or fraudulent behavior, based on the underlying network structure. As public knowledge bases often do not contain the necessary information for the analysis of such scenarios, the need arises to create and maintain dedicated domain-specific knowledge bases. This thesis investigates the process of creating domain-specific knowledge bases from structured and unstructured data sources. In particular, it addresses the topics of named entity recognition (NER), duplicate ...
Note:
Dissertation Universität Potsdam 2021
Language:
English
Keywords:
Hochschulschrift
DOI:
10.25932/publishup-50145
URN:
urn:nbn:de:kobv:517-opus4-501459
URL:
https://doi.org/10.25932/publishup-50145
URL:
https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-501459
URL:
https://d-nb.info/1231906545/34
Author information:
Naumann, Felix 1971-
Author information:
Spiliopoulou, Myra 1965-
Author information:
Paulheim, Heiko 1977-
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