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.
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Acknowledgements
This research is partially supported by the Ministry of Science and Technology research grant in Taiwan (MOST 104-2218-E-007-015-MY2).
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The initial concept and preliminary analysis was first reported as a short paper, “Computer supported comparative analysis of technology portfolios for LTE-A patent pools,” at the 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016) in May 2016. This manuscript has been extended into a journal paper using comments and suggestions from CSCWD 2016 scholars. The large patent pool data sets were re-run and re-analyzed and the manuscript was re-written to match the specifications for Cluster Computing. We appreciate Andy Y. T. Wang and Lynn Chen for drafting the early LTE-A ontology graphs and Usharani Hareesh Govindarajan for verifying the 4G technical specifications.
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Trappey, C.V., Trappey, A.J.C. & Chen, L.W.L. Computer-supported portfolio analysis and comparison using ontology-based patent classification mapping scheme: the case of mobile communication patent pools. Cluster Comput 20, 1661–1677 (2017). https://doi.org/10.1007/s10586-016-0722-2
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DOI: https://doi.org/10.1007/s10586-016-0722-2