Use of Text Summarization Technique for Supporting Patent Prior Art Retrieval

利用文件摘要技術協助專利先前技術檢索

余杰謙(Chieh-Chien Yu)

指導教授 ： 魏志平

國立清華大學/科技管理學院/科技管理研究所/碩士(2008年)

摘要

Prior art retrieval refers to the process of identifying relevant prior arts for a given patent (or patent application). Prior art retrieval is essential to support patentability (or novelty) and invalidity searches, and its effectiveness greatly affects the validity of these searches. In this study, we aim at improving the effectiveness of prior art retrieval by proposing a summary-based prior art retrieval (SPAR) technique. Our rationale is that sentences in a patent document are not equally important in describing the invention claimed in the patent. Thus, we employ the text summarization approach to develop an automatic patent summarization technique for selecting important sentences in a query patent document and then use the patent summary for prior art retrieval. For evaluation purposes, we collect 78,225 patent documents from the United States Patent and Trademark Office (USPTO) website and conduct a series of experiments using a traditional full-text-based prior art retrieval technique as the performance benchmark. Our evaluation results suggest that our proposed SPAR technique significantly outperforms its benchmark technique. Moreover, our evaluation results also indicate that the inclusion of feature selection and our non-prior art selection method for patent summarization learning improve the effectiveness of prior art retrieval.

關鍵字

Prior Art Retrieval ； Patent Search ； Text Summarization ； Patent Summarization ； Summary-based Prior Art Retrieval

並列摘要

HASH(0x1cc60a50)

並列關鍵字

Prior Art Retrieval ； Patent Search ； Text Summarization ； Patent Summarization ； Summary-based Prior Art Retrieval

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