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Title:
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LEVERAGING ENTITIES FROM BIOMEDICAL PUBLICATIONS TO THE LINKED DATA SPACE |
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Author(s):
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Dimitrios Ntalaperas, Panagiotis Hasapis, Thanassis Bouras |
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ISBN:
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978-989-8533-20-3 |
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Editors:
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Hans Weghorn |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Linked Data, Text Mining, Information Extraction, Argument Analysis |
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Type:
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Full Paper |
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First Page:
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27 |
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Last Page:
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34 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In this paper, a general architecture is presented, that allows the extraction of semantic data from argumentation clauses that might exist in publications of the biomedical domain. Grammar rules are being defined which are used to identify sentences corresponding to argumentation being present in publications. From each argumentation sentence a set of metadata in the form of Linked Data Instances is produced, which contain the entities (chemo-preventive agents, proteins, molecules) to which the sentence refers to. The arguments, along with the associated entities are stored in a RDF triple store. Relations between arguments and entities can thus be retrieved by performing SPARQL queries. |
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