Automated Patent Categorization and Guided Patent Search using IPC as Inspired by MeSH and PubMed

@inproceedings{Eisinger2013AutomatedPC,
  title={Automated Patent Categorization and Guided Patent Search using IPC as Inspired by MeSH and PubMed},
  author={Daniel Eisinger},
  booktitle={J. Biomedical Semantics},
  year={2013}
}
Document search on PubMed, the pre-eminent database for biomedical literature, relies on the annotation of its documents with relevant terms from the Medical Subject Headings ontology (MeSH) for improving recall through query expansion. Patent documents are another important information source, though they are considerably less accessible. One option to expand patent search beyond pure keywords is the inclusion of classification information: Since every patent is assigned at least one class… CONTINUE READING
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Automated Patent Categorization and Guided Patent Search using IPC as Inspired by MeSH and PubMed

Daniel Eisinger, George Tsatsaronis, Markus Bundschus, Ulrich Wieneke, Michael Schroeder
  • Journal of Biomedical Semantics
  • 2013