2010
DOI: 10.1007/s11518-010-5134-x
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Clustering patents using non-exhaustive overlaps

Abstract: Patent documents are unique external sources of information that reveal the core technology underlying new inventions. Patents also serve as a strategic data source that can be mined to discover state-of-the-art technical development and subsequently help guide R&D investments. This research incorporates an ontology schema to extract and represent patent concepts. A clustering algorithm with non-exhaustive overlaps is proposed to overcome deficiencies with exhaustive clustering methods used in patent mining an… Show more

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Cited by 44 publications
(29 citation statements)
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“…On the other hand, the number of patent applications in CN is the largest, indicating that CN might be one of the most potential markets of the ORC. (4) Most importantly, the technology life cycle of the ORC, based on the patent data, is at a growth stage, indicating that many products are developed and start being commercialized [17].…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…On the other hand, the number of patent applications in CN is the largest, indicating that CN might be one of the most potential markets of the ORC. (4) Most importantly, the technology life cycle of the ORC, based on the patent data, is at a growth stage, indicating that many products are developed and start being commercialized [17].…”
Section: Discussionmentioning
confidence: 99%
“…The technology life cycle can be divided into four stages [17]: introductory stage, growth stage, maturity stage, and decline stage. Figure 3 shows the evolution of number of patents vs. assignees, which is the typical figure to explore the technology life cycle base on the patent data.…”
Section: Technology Life Cyclementioning
confidence: 99%
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“…Furthermore, Fig cycle stage of a particular product before it is commercialized [20]. The technology life cycle comprises the following four stages [21]: (1) introductory; (2) growth; (3) maturity; and (4) decline. Fig.…”
Section: Methodsologymentioning
confidence: 99%
“…Novelty is defined in Section 102 of the US Patent Law: The invention is novel if it was not previously patented, described in a publication, in public use, or on sale by others before the inventor invented it. Trappey et al [35] use non-exhaustive overlap clustering to analyze patent documents with multiple technical descriptions of the invention. The results show that key phrases influence the similarity of the non-exhaustive clusters where an object is permitted to belong to no cluster.…”
Section: Modified Overlapping Clusteringmentioning
confidence: 99%