Identifying patent infringement using SAO based semantic technological similarities

• Published in: Scientometrics Vol. 90; no. 2; pp. 515 - 529
• Main Authors: Park, Hyunseok, Yoon, Janghyeok, Kim, Kwangsoo
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.02.2012; Springer
• Subjects: Bibliometrics. Scientometrics; Bibliometrics. Scientometrics. Evaluation; Computer Science; Data mining; Detection; Exact sciences and technology; Information and communication sciences; Information science. Documentation; Information Storage and Retrieval; Infringements; Library and information science. General aspects; Library Science; Natural language processing; Sciences and techniques of general use; Semantic relations; SAO; C63; NLP; Patent litigation; Patent mining; Natural language processing; Patent risk; C82; Subject–action–object; Multidimensional scaling; Patent analysis; Patents; Similarity; Correlation analysis; Multidimensional space; Scientific research; Cluster; Measurement method; Algorithm

Companies should investigate possible patent infringement and cope with potential risks because patent litigation may have a tremendous financial impact. An important factor to identify the possibility of patent infringement is the technological similarity among patents, so this paper considered tec...