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عنوان فارسی مقاله:
پروفایل های شرکت ها: نقشه برداری داده های ثبت اختراع با یادگیری بی نظیر
عنوان انگلیسی مقاله:
Firms' knowledge profiles: Mapping patent data with unsupervised learning
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بخشی از مقاله انگلیسی:
2. Background
Informetric analysis focuses on operationalising developments in the science and technology system. Informetrics can focus on a science, technologies or companies creating insight on the historical developments and forecast future trajectories. At a company level, Porter and Newman (2011) write about competitive technical information (CTI), the information companies need to survive in the dynamic marketplace. Suominen (2013) reviews the established metrics used to create quantitative insights, highlighting that metrics used to profile developments need to be objective and reproducible, while responding to Ayres (1989) call for accurate decision-making tools. Much of the current informetrics analyses have focused on the metadata level (cf. Suominen, 2013) creating measures of activity, linkage or impact (Moed et al., 1995). Text analytics have most commonly been limited to keyword or abstract analysis. New open datasets and increases in computational efficiency have made full-text analysis possible (for example Glenisson et al., 2005). Tseng et al. (2007) have reviewed text mining techniques for patent analysis highlighting different methodological options and steps, such as text segmentation, summary extraction, feature selection, term association, cluster generation, topic identification, and information mapping. Tseng et al. (2007) describe the approaches to filter irrelevant content and retrieving the core features of the patent. Kang et al. (2007) have reviewed different clustering approached to summarizing patents, although much of this work is based on utilizing the international patent classification systems. Kim and Choi (2007) on the other hand analyse patents using the semantic structure of the patent as a starting point. Patent text mining studies often either rely on filtering text based on established knowledge on the structure of patent text or show trends of classification or aggregated technology areas. 2.1. Depth and breadth of knowledge The increased complexity of technologies has changed the dynamics of innovation in that there is an increased need for cross-disciplinary activities (Wang and von Tunzelmann, 2000; Subramaniam and Youndt, 2005). Studies have shown that technologically diverse knowledge systems are a dominant feature in companies, as multiple fields of knowledge are integrated in the innovation process (Mendonça, 2006). To analyse change in knowledge resources we are forced to understand the multi-dimensional knowledge base of an industry (Kauffman et al., 2000). Knowledge depth can be defined as the level of expertise within a confined technological area (George et al., 2008; Zhang et al., 2007) described by Wang and von Tunzelmann (2000) as “analytical sophistication”. In contrast, breadth of knowledge refers to the number of adjacent technologies in the relevant multi-dimensional knowledge space of a company (Wang and von Tunzelmann, 2000; Zhang et al., 2007). Moorthy and Polley (2010) showed that rather than the stock of knowledge, the breadth and depth of knowledge in fact represent more important variables to explain a firm's performance. Companies are required to have a minimum depth of knowledge in a specific area and breadth enables them to cope with rapid technological change. An evaluation of these two variables at a company level allows us to follow strategic trajectories.
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کلمات کلیدی:
Interactive Patent Mapping - IPVision, Inc. www.ipvisioninc.com/interactive-patent-mapping/ Visualize the interaction and evolution of patents with interactive patent mapping. Are there any free tools or databases available for patent mapping? https://www.researchgate.net/.../Are_there_any_free_tools_or_databases_available_fo... Dec 5, 2013 - Anup Espacenet does not provide analysis tools, I prefer him Patentscope the WIPO (https://patentscope.wipo.int/search/) for easy analysis. Patent Data - The Modern Investor's Crystal Ball - Intellectual Property ... https://www.ip-watch.org/2017/03/06/patent-data-modern-investors-crystal-ball/ Mar 6, 2017 - The formula is based on a combination of big data from patent ... data is collected from the database, it can be used to map out and predict ... Patent visualisation - Wikipedia https://en.wikipedia.org/wiki/Patent_visualisation Jump to Visualisation for both data-mining and text-mining - Mapping visualisations can be used for both text-mining and data-mining results. Searches related to Mapping patent data free patent analysis tools patent mapping tools patent mapping software free patent analytics software tools patent analysis pdf patent analysis ppt what is patent analysis? patent landscape software
