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Title:      SDA: TOWARDS A NOVEL KNOWLEDGE DISCOVERY MODEL FOR INFORMATION SYSTEMS
Author(s):      Marc Jacobs, Sven Hodapp and Jens Dörpinghaus
ISBN:      978-989-8533-74-6
Editors:      Miguel Baptista Nunes, Pedro Isaías and Philip Powell
Year:      2018
Edition:      Single
Keywords:      Knowledge Representation, Document Element, Sematic Digital Asset, Key-Value Store, Apache Accumulo, Apache UIMA
Type:      Poster/Demonstration
First Page:      300
Last Page:      302
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Here, we present a novel model for knowledge discovery in biomedical sciences which has already been used for analyzing millions of journal articles from PMC and PubMed. We decompose each scientific document into semantic digital assets (SDA) that help to build an efficient workflow to retrieve single statements and hypothesis from huge and heterogeneous collections of large documents instead of complete articles. This new approach is so general applicable, that it will also be useful for information systems in other domains.
   

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