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Special issue on tech mining

机译:科技采矿专刊

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摘要

This special issue of Technol. Forecast. Soc. Change addresses the topic of "tech mining". Tech mining strives to inform science, technology and innovation ("ST&I") management by applying text mining to exploit searches of electronic science and technology databases. It is richly informed by work in fields such as information retrieval, scientometrics and content analysis. Current tech mining efforts co-exist with related efforts, including technology futures analysis, research evaluation and competitive intelligence. Contrast tech mining with traditional ST&I policy and management practices. Traditional processes rely mainly on expertise. This could be anything from asking the "right-hand man" to convening multi-tier expert panels. The former relies excessively on casual knowledge; the latter tends to be slow and expensive. Both neglect the rich intelligence to be gleaned from data resources. Tech mining takes information already compiled, for whatever purposes, and exploits it just when needed. It derives knowledge pertinent to the issue at hand. For instance, today, we might search fuel cell patents to help assess how crowded the landscape is to help assess our new program initiative. Tomorrow, we might mine fuel cell patents to identify which other companies are the best prospects to license our intellectual property. In both cases, we get the intelligence immediately; we do not have to wait for a third party to perform special studies taking months.
机译:Technol的特刊。预测。 Soc。更改解决了“技术挖掘”主题。技术挖掘致力于通过应用文本挖掘来利用对电子科学技术数据库的搜索,从而为科学,技术与创新(“ ST&I”)管理提供信息。信息检索,科学计量学和内容分析等领域的工作为它提供了丰富的信息。当前的技术挖掘工作与相关工作并存,包括技术期货分析,研究评估和竞争情报。将技术挖掘与传统的ST&I政策和管理实践进行对比。传统流程主要依靠专业知识。从要求“得力助手”到召集多层专家小组,这无所不包。前者过​​分依赖随便的知识。后者往往很慢且昂贵。两者都忽略了从数据资源中收集的丰富情报。技术挖掘可将已编译的信息用于任何目的,并在需要时加以利用。它获取与当前问题相关的知识。例如,今天,我们可能会搜索燃料电池专利,以帮助评估前景如何拥挤,以帮助评估我们的新计划倡议。明天,我们可能会挖掘燃料电池专利,以确定哪些其他公司最有可能获得我们的知识产权许可。在这两种情况下,我们都会立即获得情报。我们不必等待第三方进行几个月的特殊学习。

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