Computer-supported portfolio analysis and comparison using ontology-based patent classification mapping scheme: the case of mobile communication patent pools

Charles V. Trappey, Amy J.C. Trappey*, Luna W.L. Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Mobile communication patents must conform to LTE-Advanced (called fourth generation or 4G) specifications to be categorized as LTE-A standard essential patents (SEPs). Global LTE-A patent pools, such as Sisvel and Via Licensing, collect SEPs from patent assignees, facilitate the SEP licensing processes, and provide fast-forward technical solutions to licensees. This research develops a computer-supported ontology-based patent classification (ontology-IPC) mapping scheme. Two major LTE-A patent pools (Sisvel and Via Licensing) and a national research project pool provide the case study. The research methodology defines the patent pool profiles using visualization maps for collaborative SEPs licensing and provides critical data to avoid re-inventing technologies and infringing upon existing intellectual property. The research enables mobile network and device developers to work cooperatively to develop fast, dependable, and interoperable products and services. The ontology-IPC analysis of the data demonstrates the approach’s versatile application to support national project research reviews.

Original languageEnglish
Pages (from-to)1661-1677
Number of pages17
JournalCluster Computing
Volume20
Issue number2
DOIs
StatePublished - 1 Jun 2017

Keywords

  • International Patent Classification (IPC)
  • LTE-advanced
  • Ontology
  • Patent pool
  • Text mining

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