Developing an ontology for the U.S. patent system

Siddharth Taduri, Gloria T. Lau, Kincho H. Law, Hang Yu, Jay P. Kesan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The past few years have experienced an explosive growth in scientific and regulatory documents related to the patent system. Relevant information is siloed into many heterogeneous information domains making it a challenging task to gather information. In this paper, we develop an ontology to standardize the representation of the patent system in order to overcome the heterogeneity and integrate information from the patent document, court case and file wrapper domains. Through a use case in the bio domain erythropoietin, we demonstrate how this ontology can be used as a tool to improve the learning curve of users gathering information across these multiple information domains. The proposed ontology provides the required semantics to develop automated tools for a variety of purposes including Information Retrieval (IR) and analytics.

Original languageEnglish (US)
Title of host publicationdg.o 2011 - Proceedings of the 12th Annual International Digital Government Research Conference
Subtitle of host publicationDigital Government Innovation in Challenging Times
Pages157-166
Number of pages10
DOIs
StatePublished - 2011
Event12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, dg.o 2011 - College Park, MD, United States
Duration: Jun 12 2011Jun 15 2011

Publication series

NameACM International Conference Proceeding Series

Other

Other12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, dg.o 2011
Country/TerritoryUnited States
CityCollege Park, MD
Period6/12/116/15/11

Keywords

  • court cases
  • file wrapper
  • information retrieval
  • knowledgebase
  • ontology
  • patent

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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