INFORMATION EXTRACTION FROM CHEMICAL PATENTS | Zendy

Sandra Bergmann | Zendy; Mathilde Romberg | Zendy; Alexander Klenner | Zendy; Zimmermann Marc | Zendy

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INFORMATION EXTRACTION FROM CHEMICAL PATENTS

Author(s) -

Sandra Bergmann,

Mathilde Romberg,

Alexander Klenner,

Zimmermann Marc

Publication year - 2012

Publication title -

computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.145

H-Index - 5

eISSN - 2300-7036

pISSN - 1508-2806

DOI - 10.7494/csci.2012.13.2.21

Subject(s) - computer science , task (project management) , process (computing) , information extraction , interface (matter) , architecture , control (management) , data science , information retrieval , operating system , artificial intelligence , systems engineering , art , bubble , maximum bubble pressure method , engineering , visual arts

The development of new chemicals or pharmaceuticals is preceded by an indepth analysis of published patents in this eld. This information retrieval is a costly and time inecient step when done by a human reader, yet it is mandatory for potential success of an investment. The goal of the research project UIMA-HPC is to automate and hence speed-up the process of knowledge mining about patents. Multi-threaded analysis engines, developed according to UIMA (Unstructured Information Management Architecture) standards, process texts and images in thousands of documents in parallel. UNICORE (UNiform Interface to COmputing Resources) workow control structures make it possible to dynamically allocate resources for every given task to gain best cpu-time/realtime ratios in an HPC environment

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