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Developing an ontology for the U.S. patent system

Published: 12 June 2011 Publication History

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.

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cover image ACM Other conferences
dg.o '11: Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times
June 2011
398 pages
ISBN:9781450307628
DOI:10.1145/2037556
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 12 June 2011

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Author Tags

  1. court cases
  2. file wrapper
  3. information retrieval
  4. knowledgebase
  5. ontology
  6. patent

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  • Research-article

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dg.o '11
Sponsor:
  • University of Arizona
  • San Diego Super Computing Ctr
  • Emerald
  • University of Maryland
  • IOS Press

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Overall Acceptance Rate 150 of 271 submissions, 55%

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Cited By

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  • (2024)Silver nanoparticle reinforced polylactic acid and gelatin composite films for advanced wound dressingJournal of Biomaterials Applications10.1177/0885328224123372038:8(915-931)Online publication date: 12-Feb-2024
  • (2017)Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citationsJournal of Informetrics10.1016/j.joi.2016.04.01811:1(63-79)Online publication date: Feb-2017
  • (2016)GeTCoProceedings of the 18th International Conference on Information Integration and Web-based Applications and Services10.1145/3011141.3011205(241-244)Online publication date: 28-Nov-2016
  • (2013)Ontology-based Patent Licensing and Litigation Strategic Knowledge System for the Light Emitting Diode IndustryInternational Journal of Automation and Smart Technology10.5875/ausmt.v3i3.1803:3(155-167)Online publication date: 1-Sep-2013
  • (2013)Anthropological Thinking about E-Government EvaluationE-Government Success Factors and Measures10.4018/978-1-4666-4058-0.ch005(66-86)Online publication date: 2013
  • (2013)Patent RetrievalFoundations and Trends in Information Retrieval10.1561/15000000277:1(1-97)Online publication date: 20-Feb-2013
  • (2013)Constructing a dental implant ontology for domain specific clustering and life span analysisAdvanced Engineering Informatics10.1016/j.aei.2013.04.00327:3(346-357)Online publication date: 1-Aug-2013
  • (2013)Semantic Patent Information Retrieval and Management with OWLAdvances in Information Systems and Technologies10.1007/978-3-642-36981-0_4(33-42)Online publication date: 2013
  • (2011)An ontology-based interactive tool to search documents in the U.S. patent systemProceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times10.1145/2037556.2037610(329-330)Online publication date: 12-Jun-2011
  • (2011)Retrieval of Patent Documents from Heterogeneous Sources Using Ontologies and Similarity AnalysisProceedings of the 2011 IEEE Fifth International Conference on Semantic Computing10.1109/ICSC.2011.34(538-545)Online publication date: 18-Sep-2011

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