Extraction and Integration of Causal Relationships in Patent Documents : Summary and A Subsequent Activity

Ishikawa, Daisuke; Ishizuka, Hidehiro; Uda, Norihiko; Fujiwara, Yuzuru

doi:10.2964/jsik_kj00003803582

Cited by 6 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, Ishikawa [10] tried to extract technology and effect terms from a patent document by using clue phrase " ことにより (kotoniyori) " (because of) . However, the method did not ensure completeness because it only uses the clue phrase "ことにより".…”

Section: Fig 1 Effect-technology Type Patent Mapmentioning

confidence: 99%

Extraction of the effect and the technology terms from a patent document

Nonaka

Kobayahi

Sakaji

et al. 2010

The 40th International Conference on Computers &Amp; Indutrial Engineering

View full text Add to dashboard Cite

A patent map, a visual representation of related patent information, is an effective strategic tool for analysis of patent application trends. In particular, an effect-technology type patent map is commonly used as patent examinations are based on technology and effect terms of the inventions.However, conventional patent mining tools are not realized to make an effect-technology type patent map.In order to generate effect-technology type patent maps automatically, we propose a method for extracting information on the effect and the technological terms from patent documents. Our proposed method is described by the following steps. (Step 1) Extract expressions containing the information on the technical effect by using frequent expressions and clue expressions that are automatically extracted by using statistical information and initial clue expressions. (Step 2) Extract technology terms in the above expressions by character-string comparison between patent claims and the expressions. (Step 3) Extract effect terms using grammar patterns that are composed of technology terms, frequent expressions and clue expressions.Our method achieves high precision (85.0%) by using frequent expressions, clue expressions, and the grammar patterns.

show abstract

Section: Fig 1 Effect-technology Type Patent Mapmentioning

confidence: 99%

Extraction of the effect and the technology terms from a patent document

Nonaka

Kobayahi

Sakaji

et al. 2010

The 40th International Conference on Computers &Amp; Indutrial Engineering

View full text Add to dashboard Cite

show abstract

“…Uchida et al [5] developed a method for automatically generating patent maps (not technology-effect patent maps) using a concept-based vector space model. Ishikawa et al [6] tried to extract technology terms from a patent document using the clue phrase "because of". A clue phrase was defined as the word linking a technology term and an effect term.…”

Section: Introductionmentioning

confidence: 99%

Community detection and growth potential prediction from patent citation networks

Hentona

Nonaka

Nakai

et al. 2018

Proceedings of the 10th International Conference on Management of Digital EcoSystems

View full text Add to dashboard Cite

The scoring of patents is useful for technology management analysis. Therefore, a necessity of developing citation network clustering and prediction of future citations for practical patent scoring arises. In this paper, we propose a community detection method using the Node2vec. And in order to analyze growth potential we compare three "time series analysis methods", the Long Short-Term Memory (LSTM), ARIMA model, and Hawkes Process. The results of our experiments, we could find common technical points from those clusters by Node2vec. Furthermore, we found that the prediction accuracy of the ARIMA model was higher than that of other models. CCS CONCEPTS• Computing methodologies~Machine learning • Mathematics of computing~Probability and statistics

show abstract

Evaluating industrial cluster by using spatial auto correlation of patent applications

Nonaka

Kawano

Hiraoka

et al. 2014

2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA)

View full text Add to dashboard Cite

Extraction and Integration of Causal Relationships in Patent Documents : Summary and A Subsequent Activity

Abstract: The aim of ollr study is to develop a creativity support system which uses aIlalog ． ical reasoIling ． We adop し patent docunLeIlts for extractiIlg base knowledgc iIl analog − ical reasoning ')n the system because patent docunlents have the following featuresl

Cited by 6 publications

References 1 publication

Extraction of the effect and the technology terms from a patent document

Extraction of the effect and the technology terms from a patent document

Community detection and growth potential prediction from patent citation networks

Evaluating industrial cluster by using spatial auto correlation of patent applications

Contact Info

Product

Resources

About