Evaluating the Risk of Patent Infringement by Means of Semantic Patent Analysis: The Case of DNA Chips

Evaluating the Risk of Patent Infringement by Means of Semantic Patent Analysis: The Case of DNA Chips
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DOI:
10.1111/j.1467-9310.2008.00533.x
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发表时间:
2008-10
期刊:
IRPN: Innovation & Patent Law & Policy (Sub-Topic)
影响因子:
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通讯作者:
Isumo Bergmann;D. Butzke;Lothar Walter;J. P. Fuerste;M. Moehrle;V. Erdmann
Isumo Bergmann;D. Butzke;Lothar Walter;J. P. Fuerste;M. Moehrle;V. Erdmann
中科院分区:
其他
文献类型:
--
作者:
Isumo Bergmann;D. Butzke;Lothar Walter;J. P. Fuerste;M. Moehrle;V. Erdmann

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在本文中,我们将提出一种方法,通过评估专利文件之间的相似性,专利语义分析的基础上检测专利侵权的风险。这种方法使用户能够通过多维缩放在语义专利地图上可视化内容中的相似性。Dressler(2006)已经证明了语义专利地图在密封技术专利中的有效性,在这些专利中,文档通常保持简短,提取的内容也很简洁。本文将向生物技术领域开放,专利可以很容易地包含数百页。这里提出的方法传达了一种跨学科的方法,并结合了计算机辅助自然语言处理与生化过程的特定领域的专业知识。一个涉及两家DNA芯片制造商的真实侵权案件就说明了这一点。我们的实验将展示如何在基于语义专利分析的专利地图上可视化侵权案件。这个实验可以与大海捞针相比,两个竞争性专利代表了明显冲突的针。从当前美国435/6类中大约4,000项专利中,选择了一组包括上述针头的专利。本文将指出如何通过语义专利分析来检测这种相互干扰,以及对面临专利侵权风险的研发管理者提出什么建议。
In this paper, we are going to present a method for detecting the risks of patent infringement by evaluating similarities between patent documents on the basis of semantic patent analysis. This approach enables the user to visualize similarities in the contents on a semantic patent map by means of multi-dimensional scaling. The effectiveness of the semantic patent map has already been demonstrated by Dressler (2006) with regard to patents of seal technology, in which documents are commonly kept short and the extracted contents are concise. This paper will open out to the field of biotechnology, where patents can easily comprise several hundreds of pages. The method presented here conveys an interdisciplinary approach and combines computer-aided natural language processing with domain-specific expertise of biochemical processes. This is illustrated by an authentic case of infringement involving two manufacturers of DNA chips. Our experiment will show how the infringement case is visualized on a patent map based on semantic patent analysis. This experiment can be compared with the search for a needle in a haystack, the two competitive patents representing significantly conflicting needles. From an approximate number of 4,000 patents in the current US Class 435/6, a set of patents was selected that included the needles mentioned. This paper will point out how such mutual interference can be detected by way of semantic patent analysis, and what advice may be given to R&D managers who are faced with the risk of patent infringement.