Measures for textual patent similarities: A guided way to select appropriate approaches

Scientometrics

Volumn 85, Issue 1, 2010, Pages 95-109

  Moehrle, Martin G ^a  

^a UNIVERSITY OF BREMEN   (Germany)

Author keywords

Infringement analysis; Patent; Patent mapping; Prior art analysis; Similarity coefficients; Similarity measurement

Indexed keywords

EID: 77955845959     PISSN: 01389130     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11192-010-0243-3     Document Type: Article

References (36)

1. Batagelj, V., & Bren, M. (1995). Comparing resemblance measures. Journal of Classification, 12(1), 73-90.
2. Bergmann, I., Butzke, D., Walter, L., Fuerste, J. P., Moehrle, M. G., & Erdmann, V. A. (2008). Evaluating the risk of patent infringement by means of semantic patent analysis: The case of DNA chips. R& D Management, 38(5), 550-562.
3. Bonino, D., Ciaramella, A., & Corno, F. (2009). Review of the state-of-the-art in patent information and forthcoming evolutions in intelligent patent informatics. World Patent Information doi: 10. 1016/j. wpi. 2009. 05. 008 (in press).
4. Braam, R. R., Moed, H. F., & van Raan, A. F. J. (1988). Mapping of science: Critical elaboration and new approaches, a case study in agricultural biochemistry. In L. Egghe & R. Rousseau (Eds.), Infometrics 87/88. Amerstdam: Elsevier Science.
5. Brosius, F. (2006). SPSS 14. Heidelberg: Redline.
6. Burke, P. F., & Reitzig, M. (2007). Measuring patent assessment quality-analyzing the degree and kind of (in)consistency in patent offices' decision making. Research Policy, 36(9), 1404-1430.
7. Daga, R., & Pandey, G. (2008). US-Patent application 2008/0162455 A1. Determination of document similarity.
8. Dehmer, M. (2005). Strukturelle Analyse Web-basierter Dokumente. Gabler: Wiesbaden.
9. Dressler, A. (2006). Patente in technologieorientierten mergers und acquisitions. Wiesbaden: Deutscher Universitäts-Verlag.
10. Gerken, J. M., & Moehrle, M. G. (2010). The evolution of torque transfer technology by use of computerized patent analysis. In Proceedings of the 20th CIRP design conference 2010, Nantes, France (accepted).
11. Gower, J. C., & Legendre, P. (1986). Metric and euclidean properties of dissimilarity coefficients. Journal of Classification, 3(1), 5-48.
12. Hamers, L., Hemeryck, Y., Herweyers, G., & Janssen, M. (1989). Similarity measures in scientometric research: The Jaccard index versus Salton's Cosine formula. Information Processing & Management, 25(3), 315-318.
13. Hippel, E. v. (1994). "Sticky information" and the locus of problem solving: Implications for innovation. Management Science, 40(4), 429-439.
14. Jeong, B., Lee, D., Cho, H., & Lee, J. (2008). A novel method for measuring semantic similarity for XML schema matching. Expert Systems with Applications, 34(3), 1651-1658.
15. Kanagasabai, R., & Pan, H. (2008). US-Patent 7, 346, 491 B2. Method of text similarity measurement.
16. Moehrle, M. G., & Geritz, A. (2007). Developing acquisition strategies based on patent maps. In M. H. Sherif & T. M. Khalil (Eds.), Management of technology: New directions in technology management (pp. 19-29) Amsterdam: Elsevier.
17. Moens, M.-F. (2006). Information extraction: Algorithms and prospects in a retrieval context. Berlin: Springer.
18. Park, J. (2005). Evolution of industry knowledge in the public domain: Prior art searching for software patents. SCRIPT-ed, 2(1), 47-70.
19. Peters, H. P. F., & van Raan, A. F. J. (1993a). Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling. Research Policy, 22(1), 23-46.
20. Peters, H. P. F., & van Raan, A. F. J. (1993b). Co-word-based science maps of chemical engineering. Part II: Representations by combined clustering and multidimensional scaling. Research Policy, 22(1), 47-71.
21. Philipp, M. (2006). Patent filing and searching: Is deflation in quality the inevitable consequence of hyperinflation in quantity? World Patent Information, 28(2), 117-121.
22. Qin, J. (2000). Semantic similarities between a keyword database and a controlled vocabulary database: An investigation in the antibiotic resistance literature. Journal of the American Society for Information Science, 51(2), 166-180.
23. Ranganathan, A., & Ronen, R. (2008). US-Patent application 2008/0243809 A1. Information-theory based measure of similarity between instances in ontology.
24. Rip, A., & Courtal, P. (1984). Co-word maps of biotechnology: An example of cognitive scientometrics. Scientometrics, 6(6), 381-400.
25. Sepkoski, J. J. (1974). Quantified coefficients of association and measurement of similarity. Mathematical Geology, 6(2), 135-152.
26. Small, H. (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science and Technology, 50(9), 799-813.
27. Small, H. (2003). Paradigms, citations, and maps of science: A personal history. Journal of the American Society for Information Science and Technology, 54(5), 394-399.
28. Sneath, P. H. A., & Sokal, R. R. (1973). Numerical taxonomy. San Francisco: W. H. Freeman and Company.
29. Sternitzke, C., & Bergmann, I. (2009). Similarity measures for document mapping: A comparative study on the level of an individual scientist. Scientometrics, 78(1), 113-130.
30. Trippe, A. J. (2003). Patinformatics: Tasks and tools. World Patent Information, 25(3), 211-221.
31. Tseng, Y. H., Lin, C. J., & Lin, Y. I. (2007). Text mining techniques for patent analysis. Information Processing and Management, 43(5), 1216-1247.
32. Vinkler, P. (1999). Short term and long term impact factors and similarities of chemistry journals represented by references. Scientometrics, 46(3), 621-633.
33. von Wartburg, I., Teichert, T., & Rost, K. (2005). Inventive progress measured by multi-stage patent citation analysis. Research Policy, 10, 1591-1607.
34. Wen, G., Jiang, L., & Shadbolt, R. (2006). Ontology-based similarity between text documents on manifold. In R. Mizoguchi, Z. Shi, & F. Giunchiglia (Eds.), ASWC 2006, LNCS 4185 (pp. 113-125). Berlin: Springer.
35. Yang, Y. Y., Akers, L., Klose, T., & Barcelon, Y. C. (2008). Text mining and visualization tools-impressions of emerging capabilities. World Patent Information, 30(4), 280-293.
36. Yanhong, L., & Runhua, T. T. (2007). A text-mining-bases patent analysis in product innovative process. In Léon-Rvira, N. (Ed.), Trends in computer aided innovation (pp. 89-96). New York: Springer.