Journal article icon

Journal article

Information extraction and linked open data in chemistry

Abstract:

Chemists not only produce a significant amount of data-rich scholarly communication artifacts, but have also adopted a highly formulaic style of writing. The literature of this discipline is an attractive target for automated data extraction. In previous work, we have demonstrated the identification and extraction of chemical entities from scientific papers.[1][2] However, we have not addressed the extraction of the relationships linking the chemical entities to both each other as well as to ...

Expand abstract
Publication status:
Not Published
Peer review status:
Peer reviewed
Version:
Author's Original

Actions


Access Document


Files:

Authors


More by this author
Institution:
"University of Cambridge"
Department:
Unilever Centre for Molecular Science Informatics,Department of Chemistry
More by this author
Institution:
"University of Cambridge"
Department:
Unilever Centre for Molecular Science Informatics,Department of Chemistry
More by this author
Institution:
"University of Cambridge"
Department:
Unilever Centre for Molecular Science Informatics,Department of Chemistry
More by this author
Institution:
"University of Cambridge"
Department:
Unilever Centre for Molecular Science Informatics,Department of Chemistry
URN:
uuid:400e170b-98d3-41ee-afcf-fff1918b0452
Local pid:
ora:3120
Language:
English
Keywords:
Subjects:

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP