Relating properties and functions from patents to TRIZ trends

Verhaegen, Paul-Armand; D’hondt, Joris; Vertommen, Joris; Dewulf, Simon; Duflou, Joost R.

doi:10.1016/j.cirpj.2008.09.010

Cited by 56 publications

(27 citation statements)

References 12 publications

(11 reference statements)

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“…Among these various sections, the narrative sections can be used to extract binary relations related to properties and functions. Tong et al (2006) and Verhaegen et al (2009) indicated the importance of including titles and abstract in the automatic analysis of patents. Chen et al (2003) regarded the human-generated abstracts of patent documents as the most important part.…”

Section: Patent Collectionmentioning

confidence: 98%

“…On the basis of these studies, this research uses only abstracts to extract binary relations. Another reason for using abstracts is that they are available in English in most patents (Verhaegen et al 2009). …”

Section: Patent Collectionmentioning

confidence: 99%

“…Based on the concept of product DNA, related domains or products that act as a source for knowledge transfer could be identified for directed innovation. Verhaegen et al (2009) extended this concept to extract properties and functions automatically using grammatical analysis, related them to evolutionary trends of technology Invention property-function network analysis of patents 689 (Mann 2002), and predicted directions of further improvements of a product. The research showed that properties and functions can be used for technology analysis.…”

Section: Related Workmentioning

confidence: 99%

“…Dewulf (2006) and Verhaegen et al (2009) identified properties from patents using adjectives. Hirtz et al (2001) used 'verb ?…”

Section: Properties and Functions Extractionmentioning

confidence: 99%

See 3 more Smart Citations

Invention property-function network analysis of patents: a case of silicon-based thin film solar cells

2010

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Technology analysis is a process which uses textual analysis to detect trends in technological innovation. Co-word analysis (CWA), a popular method for technology analysis, encompasses (1) defining a set of keyword or key phrase patterns which are represented in technology-dependent terms, (2) generating a network that codifies the relations between occurrences of keywords or key phrases, and (3) identifying specific trends from the network. However, defining the set of keyword or key phrase patterns heavily relies on effort of experts, who may be expensive or unavailable. Furthermore defining keyword or key phrase patterns of new or emerging technology areas may be a difficult task even for experts. To solve the limitation in CWA, this research adopts a property-function based approach. The property is a specific characteristic of a product, and is usually described using adjectives; the function is a useful action of a product, and is usually described using verbs. Properties and functions represent the innovation concepts of a system, so they show innovation directions in a given technology. The proposed methodology automatically extracts properties and functions from patents using natural language processing. Using properties and functions as nodes, and co-occurrences as links, an invention property-function network (IPFN) can be generated. Using social network analysis, the methodology analyzes technological implications of indicators in the IPFN. Therefore, without predefining keyword or key phrase patterns, the methodology assists experts to more concentrate on their knowledge services that identify trends in technological innovation from patents. The methodology is illustrated using a case study of patents related to silicon-based thin film solar cells.

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Section: Patent Collectionmentioning

confidence: 98%

Section: Patent Collectionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…Dewulf (2006) and Verhaegen et al (2009) identified properties from patents using adjectives. Hirtz et al (2001) used 'verb ?…”

Section: Properties and Functions Extractionmentioning

confidence: 99%

See 2 more Smart Citations

Invention property-function network analysis of patents: a case of silicon-based thin film solar cells

2010

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show abstract

“…TRIZ was developed mainly using knowledge acquired from engineering patents awarded in all engineering domains and is based on the concept that every superior invention is the result of resolving a contradiction and that technical systems follow generic tendencies throughout their existence, which have been named as the laws of technical system evolution (Altshuller, 1984). TRIZ aims to problem solving in computer aided innovation (Leon, 2009 andVerhaegen et al, 2009). However, a new paradigm was necessary for mechatronic system design.…”

Section: Mechatronic Product Developmentmentioning

confidence: 99%