Extracting the significant-rare keywords for patent analysis

Li, Yanru; Wang, Leuo-hong; Hong, Chao-Fu

doi:10.1016/j.eswa.2008.06.131

Cited by 57 publications

(21 citation statements)

References 15 publications

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“…For evaluation, we use patent data because in patent descriptions, we normally can find new ideas, which include a considerable part of scientific and technological knowledge (Li, Wang, & Hong, 2009). We use the abstract of a patent as new text.…”

Section: Discussionmentioning

confidence: 99%

Mining ideas from textual information

Thorleuchter

Poel

Prinzie

2010

Expert Systems with Applications

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This approach introduces idea mining as process of extracting new and useful ideas from unstructured text. We use an idea definition from technique philosophy and we focus on ideas that can be used to solve technological problems. The rationale for the idea mining approach is taken over from psychology and cognitive science and follows how persons create ideas. To realize the processing, we use methods from text mining and text classification (tokenization, term filtering methods, Euclidean distance measure etc.) and combine them with a new heuristic measure for mining ideas. As a result, the idea mining approach extracts automatically new and useful ideas from an user given text. We present these problem solution ideas in a comprehensible way to support users in problem solving. This approach is evaluated with patent data and it is realized as a web-based application, named 'Technological Idea Miner' that can be used for further testing and evaluation

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Section: Discussionmentioning

confidence: 99%

Mining ideas from textual information

Thorleuchter

Poel

Prinzie

2010

Expert Systems with Applications

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“…Other studies on patent analysis in engineering include efforts of considering the information of assignees, attorneys and others in significant-rare keywords extraction for patent analysis by Li et al [21]. Significant-rare keywords refer to the keywords which are actually rare in the documents.…”

Section: Patent Processingmentioning

confidence: 99%

A design rationale representation model using patent documents

Liang

Liu

Kwong

et al. 2009

Proceedings of the 2nd International Workshop on Patent Information Retrieval

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Design rationale (DR) refers to the explanation of why an artifact is designed the way it is. The management of DR in engineering design is an important task since DR is often regarded as crucial information in design decision support, design analysis and design knowledge management. The existing DR systems largely target at manually capturing DRs along design activities. These systems are not only weak in revealing the internal relationships of design components, but also time consuming and they can not extract DR from archival design documents which are usually unstructured or semi-structured texts, such as design changes and test reports. Furthermore, the lack of open accessible DR data has limited the research and spreading of DR systems. In view of such challenges, it has motivated us to propose a new DR model to intelligently discover DR from patent documents since patents are deemed as quality data sources open for public access and they contain rich information about DR, invention details, technology development and so on. Our approach of DR discovery from patents consists of two stages. In the first stage, we propose a novel triple layer DR representation model, i.e. issue layer, design solution layer and artifact layer, to mine DR in a single patent document. The second stage aims to form a DR network based on the salient patent information that is discovered and explicitly represented in the first stage. We then exemplify our representation model using a case study of patents of inkjet printer. Lastly, we briefly discuss some potential applications by taking advantage of our representation model, such as DR reasoning and technology development trend mining.

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“…The tool, "TrendPerceptor" [12] is based on this method. TechTrees: [8] Thesaurus: [15] Level of Invention (LOI): [9] Problem Solving: [30] Innovation generation: [4] Idea generation: [30] New product development/design: [5], [6], [7], [13], [24] Technological transfer/Technology transferability: [4], [13], [14], [15], [21] Product comparison/ Similar products: [4], [17], [30] Avoid patent infringement: [20] Knowledge sharing/ extraction: [15], [16] Prior art searches: [14], [15], [16] Ontologies [e.g. Function-Behavior-Structure (FBS)] are used by Russo and Montecchi [13,14,15].…”

Section: State Of the Artmentioning

confidence: 99%

“…Text mining has been used to extract significant-rare keywords by Li [6], the selected words are those less frequently used by scientists and technologists. Yoon and Park [7] use this technique to transform raw data (patents expressed in text format or in natural language) into structured data.…”

Section: State Of the Artmentioning

confidence: 99%

Innovation through Pertinent Patents Research based on Physical Phenomena Involved

et al. 2014

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One can find innovative solutions to complex industrial problems by looking for knowledge in patents. Traditional search using keywords in databases of patents has been widely used. Currently, different computational methods that limit human intervention have been developed. We aim to define a method to improve the search for relevant patents in order to solve industrial problems and specifically to deduce evolution opportunities. The non-automatic, semi-automatic, and automatic search methods use keywords. For a detailed keyword search, we propose as a basis the functional decomposition [1] and the analysis of the physical phenomena involved in the in the achievement of the function to fulfill. The search for solutions to design a bi-phasic separator in deep offshore shows the method presented in this paper.

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Extracting the significant-rare keywords for patent analysis

Cited by 57 publications

References 15 publications

Mining ideas from textual information

Mining ideas from textual information

A design rationale representation model using patent documents

Innovation through Pertinent Patents Research based on Physical Phenomena Involved

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