Domain specific Information and Relation Extraction: A Hybrid Approach for Entity Recognition in The Ecological Domain
| Title: |
Domain specific Information and Relation Extraction: A Hybrid Approach for Entity Recognition in The Ecological Domain |
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Author(s): |
Vladimir Udovenko |
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Supervisor(s):
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Alsayed Algergawy and Birgitta König-Ries |
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School:
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Friedrich-Schiller-Universität Jena |
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Thesis Type:
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Master |
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Publication Place:
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Jena |
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Date:
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2019-01-17 |
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Abstract:
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A prerequisite for managing and integrating scientific data is the ability to identify and determine the same named entity represented in different data sources. Given that scientific data are heterogeneous and represented in different formats, the majority of them are text. Therefore, identifying and extracting entities as well as relations among them plays a crucial role in managing scientific data. To this end, we
introduce a hybrid (property-based) approach to extract entities and their relations from scientific publications. The preliminary results demonstrate the effectiveness of the proposed approach. |
By Alsayed Algergawy in on January 30, 2019
