Mostrar el registro sencillo del ítem
dc.contributor.author | Kay L. | es_ES |
dc.contributor.author | Newman, N. | es_ES |
dc.contributor.author | Youtie, J. | es_ES |
dc.contributor.author | Porter A.L. | es_ES |
dc.contributor.author | Rafols García, Ismael | es_ES |
dc.date.accessioned | 2014-11-18T10:32:36Z | |
dc.date.available | 2014-11-18T10:32:36Z | |
dc.date.issued | 2014-05-07 | |
dc.identifier.issn | 1532-2882 | |
dc.identifier.uri | http://hdl.handle.net/10251/44358 | |
dc.description.abstract | This paper presents a new global patent map that represents all technological categories and a method to locate patent data of individual organizations and technological fields on the global map. This overlay map technique may support competitive intelligence and policy decision making. The global patent map is based on similarities in citing-to-cited relationships between categories of the International Patent Classification (IPC) of European Patent Office (EPO) patents from 2000 to 2006. This patent data set, extracted from the PATSTAT database, includes 760,000 patent records in 466 IPC-based categories. We compare the global patent maps derived from this categorization to related efforts of other global patent maps. The paper overlays the nanotechnology-related patenting activities of two companies and two different nanotechnology subfields on the global patent map. The exercise shows the potential of patent overlay maps to visualize technological areas and potentially support decision making. Furthermore, this study shows that IPC categories that are similar to one another based on citing-to-cited patterns (and thus close in the global patent map) are not necessarily in the same hierarchical IPC branch, thereby revealing new relationships between technologies that are classified as pertaining to different (and sometimes distant) subject areas in the IPC scheme. | es_ES |
dc.description.sponsorship | We thank Kevin Boyack, Loet Leydesdorff, and Antoine Schoen for open and fruitful discussions about this paper. This research was undertaken largely at Georgia Tech drawing on support from the U.S. National Science Foundation (NSF) through the Center for Nanotechnology in Society (Arizona State University; Award No. 0531194); and NSF Award No. 1064146 ("Revealing Innovation Pathways: Hybrid Science Maps for Technology Assessment and Foresight"). Part of this research was also undertaken in collaboration with the Center for Nanotechnology in Society, University of California Santa Barbara (NSF Awards No. 0938099 and No. 0531184). The findings and observations contained in this paper are those of the authors and do not necessarily reflect the views of the US National Science Foundation. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Association for Information Science and Technology (ASIS&T): JASIS&T | es_ES |
dc.relation.ispartof | Journal of the American Society for Information Science and Technology | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Information mapping | es_ES |
dc.subject | Innovation | es_ES |
dc.subject | Patents | es_ES |
dc.title | Patent Overlay Mapping: Visualizing Technological Distance | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1002/asi.23146 | |
dc.relation.projectID | info:eu-repo/grantAgreement/NSF//1064146/US/TLS: Revealing Innovation Pathways/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NSF//0531184/US/NSEC: Center for Nanotechnology in Society at University of California, Santa Barbara/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NSF//0938099/US/NSEC: Center for Nanotechnology in Society at University of California, Santa Barbara/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NSF//0531194/US/NSEC: Center for Nanotechnology in Society at Arizona State University/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto de Gestión de la Innovación y del Conocimiento - Institut de Gestió de la Innovació i del Coneixement | es_ES |
dc.description.bibliographicCitation | Kay L.; Newman, N.; Youtie, J.; Porter A.L.; Rafols García, I. (2014). Patent Overlay Mapping: Visualizing Technological Distance. Journal of the American Society for Information Science and Technology. 65(12):2432-2443. doi:10.1002/asi.23146 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1002/asi.23146 | es_ES |
dc.description.upvformatpinicio | 2432 | es_ES |
dc.description.upvformatpfin | 2443 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 65 | es_ES |
dc.description.issue | 12 | es_ES |
dc.relation.senia | 260531 | |
dc.contributor.funder | National Science Foundation, EEUU | es_ES |
dc.description.references | Bollen, J., Van de Sompel, H., Hagberg, A., Bettencourt, L., Chute, R., Rodriguez, M. A., & Balakireva, L. (2009). Clickstream Data Yields High-Resolution Maps of Science. PLoS ONE, 4(3), e4803. doi:10.1371/journal.pone.0004803 | es_ES |
dc.description.references | Boyack, K. W., Börner, K., & Klavans, R. (2008). Mapping the structure and evolution of chemistry research. Scientometrics, 79(1), 45-60. doi:10.1007/s11192-009-0403-5 | es_ES |
dc.description.references | Boyack, K. W., & Klavans, R. (2008). Measuring science–technology interaction using rare inventor–author names. Journal of Informetrics, 2(3), 173-182. doi:10.1016/j.joi.2008.03.001 | es_ES |
dc.description.references | Boyack, K. W., Klavans, R., & Börner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351-374. doi:10.1007/s11192-005-0255-6 | es_ES |
dc.description.references | Breschi, S., Lissoni, F., & Malerba, F. (2003). Knowledge-relatedness in firm technological diversification. Research Policy, 32(1), 69-87. doi:10.1016/s0048-7333(02)00004-5 | es_ES |
dc.description.references | Chen, C. (2003). Mapping Scientific Frontiers: The Quest for Knowledge Visualization. doi:10.1007/978-1-4471-0051-5 | es_ES |
dc.description.references | Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: from National Systems and «Mode 2» to a Triple Helix of university–industry–government relations. Research Policy, 29(2), 109-123. doi:10.1016/s0048-7333(99)00055-4 | es_ES |
dc.description.references | Franz , J.S. 2009 Constructing technological distances from US patent data | es_ES |
dc.description.references | Hinze , S. Reiss , T. Schmoch , U. 1997 Statistical analysis on the distance between fields of technology http://www.isi.fraunhofer.de/isi-media/docs/isi-publ/1997/isi97b81/technology-fields-diastance.pdf?WSESSIONID=5712ff2ca5ffcf0d9590afc8ef7e1486 | es_ES |
dc.description.references | Janssens, F., Zhang, L., Moor, B. D., & Glänzel, W. (2009). Hybrid clustering for validation and improvement of subject-classification schemes. Information Processing & Management, 45(6), 683-702. doi:10.1016/j.ipm.2009.06.003 | es_ES |
dc.description.references | Kauffman, S., Lobo, J., & Macready, W. G. (2000). Optimal search on a technology landscape. Journal of Economic Behavior & Organization, 43(2), 141-166. doi:10.1016/s0167-2681(00)00114-1 | es_ES |
dc.description.references | Klavans, R., & Boyack, K. W. (2009). Toward a consensus map of science. Journal of the American Society for Information Science and Technology, 60(3), 455-476. doi:10.1002/asi.20991 | es_ES |
dc.description.references | Leydesdorff, L., & Rafols, I. (2009). A global map of science based on the ISI subject categories. Journal of the American Society for Information Science and Technology, 60(2), 348-362. doi:10.1002/asi.20967 | es_ES |
dc.description.references | Moya-Anegón, Sci. G. F. de, Vargas-Quesada, B., Chinchilla-Rodríguez, Z., Corera-Álvarez, E., Munoz-Fernández, F. J., & Herrero-Solana, V. (2007). Visualizing the marrow of science. Journal of the American Society for Information Science and Technology, 58(14), 2167-2179. doi:10.1002/asi.20683 | es_ES |
dc.description.references | Moya-Anegón, F., Vargas-Quesada, B., Herrero-Solana, V., Chinchilla-Rodríguez, Z., Corera-Álvarez, E., & Munoz-Fernández, F. J. (2004). A new technique for building maps of large scientific domains based on the cocitation of classes and categories. Scientometrics, 61(1), 129-145. doi:10.1023/b:scie.0000037368.31217.34 | es_ES |
dc.description.references | Porter, A. L., & Youtie, J. (2009). Where does nanotechnology belong in the map of science? Nature Nanotechnology, 4(9), 534-536. doi:10.1038/nnano.2009.207 | es_ES |
dc.description.references | Rafols, I., & Leydesdorff, L. (2009). Content-based and algorithmic classifications of journals: Perspectives on the dynamics of scientific communication and indexer effects. Journal of the American Society for Information Science and Technology, 60(9), 1823-1835. doi:10.1002/asi.21086 | es_ES |
dc.description.references | Rafols, I., & Meyer, M. (2009). Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience. Scientometrics, 82(2), 263-287. doi:10.1007/s11192-009-0041-y | es_ES |
dc.description.references | Rafols, I., Porter, A. L., & Leydesdorff, L. (2010). Science overlay maps: A new tool for research policy and library management. Journal of the American Society for Information Science and Technology, 61(9), 1871-1887. doi:10.1002/asi.21368 | es_ES |
dc.description.references | Rosvall, M., & Bergstrom, C. T. (2010). Mapping Change in Large Networks. PLoS ONE, 5(1), e8694. doi:10.1371/journal.pone.0008694 | es_ES |
dc.description.references | Schoen , A. Villard , L. Laurens , P. Cointet , J. Heimeriks , G. Alkemade , F. 2012 The network structure of technological developments: Technological distance as a walk on the technology map | es_ES |
dc.description.references | Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265-269. doi:10.1002/asi.4630240406 | es_ES |
dc.description.references | Van den Besselaar, P., & Leydesdorff, L. (1996). Mapping change in scientific specialties: A scientometric reconstruction of the development of artificial intelligence. Journal of the American Society for Information Science, 47(6), 415-436. doi:10.1002/(sici)1097-4571(199606)47:6<415::aid-asi3>3.0.co;2-y | es_ES |
dc.description.references | Waltman, L., & van Eck, N. J. (2012). A new methodology for constructing a publication-level classification system of science. Journal of the American Society for Information Science and Technology, 63(12), 2378-2392. doi:10.1002/asi.22748 | es_ES |