Development of a multilingual text mining approach for knowledge discovery in patents

Lee, Chung-Hong; Yang, Hsin-Chang; Li, Yi-Ju

doi:10.1109/icsmc.2009.5345953

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…In its purest definition a map is a visual representation of a domain, process, structure, or a system that depicts the arrangement of and relationships among its different components. By understanding how a component influences or is linked to another, strategies are unveiled, critical components are pinpointed and flows of information traced [7].…”

Section: Mappingmentioning

confidence: 99%

Leverage Patent Analytics to Achieve Business-Oriented Objectives: A Pragmatic Approach

Chevalier¹,

Questel²

2020

SGS

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Because patent publications are at the forefront of emerging technologies and are related to technologies with commercial potential, many companies consume patent landscapes or analytics to get more information, more data on competitors and cleverly construct incremental improvement. Nevertheless, it is not enough to anticipate technological changes and a true structuration of the information is essential to identify business markers and trends. Methods. We have used a big data and data mining approach to process patent information and determine weak signals and market shifts. The following process has been followed: mapping, categorization according to a taxonomy, business markers and trends identifi cation. The domain of AI in medical devices has been studied to illustrate the method. Maps are used for simplifying the data analysis by leveraging keywords identifi ed by semantic algorithm. Considering the volume of the topics (macro, meso, micro) the analysis will be adapted to get certain insights. To pass from maps to categorization analysis we have set up a taxonomy, based on the knowledge of experts and previous data mining work, which allows us to search for non-obvious solutions and and objectively focus our attention on all the segments. Supervised machine learning methods help to distribute documents according to taxonomies. Then, maturity and aggressiveness can be qualifi ed based on IP events such as litigations, licensing actions, growth rate or number of applicants. The last step is related to the essence of a landscape, interpreting any weak signals to anticipate the future success. Results and Discussion. We have focused on recent patents, deserted areas on the map and the taxonomy and on analyzing "unusual" patent proceedings to determine new R&D directions and innovation pathways for the use of AI in medical devices. Conclusion.We have found it particularly relevant to use taxonomies and IP events landscape of patents to anticipate technological trends and market directions and we are convinced that the sophistication of AI-based solutions will push the predictions of the markets further.

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Section: Mappingmentioning

confidence: 99%

Leverage Patent Analytics to Achieve Business-Oriented Objectives: A Pragmatic Approach

Chevalier¹,

Questel²

2020

SGS

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“…Por outro lado, baseando-se em técnicas de clusterização de texto, Lee at al [30] desenvolveram um sistema para buscar patentes similares que se encontram em idiomas diferentes. Nesse caso, os autores utilizaram patentes em chinês e inglês nas áreas de semicondutores e óptica.…”

Section: Capítulo 7 Trabalhos Relacionadosunclassified

Odysseýs

Masago¹

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A patent is a document about an invention's property given by the state to authors, preventing others from producing, using, commercialize, importing and exporting the described invention without a permission of the document's owner.A study in the economic area frequently used is the use of patents to measure importance or technological impact of an innovative field of an entity or nation. Thus, can be asserted that patents are a kind of inventive level meter and their citations is a form of measuring a country's or firm's flow or the impact of knowledge, as well as evaluate trends in a certain technological field. This thesis presents a computational tool to assist in the process of patents analysis, approaching the applicability of the method Latent Dirichlet Allocation (LDA) for the similarity of patents.xi AgradecimentosAgradeço primeiramente a Deus por me proporcionar transpassar mais um desafio em minha vida, ajudando-me a tomar, mesmo em momentos de solidão e desesperança, as decisões corretas para se abrir novos caminhos de sucesso a serem desbravados.Assim, acredito que: No tear que tece a nossa vida, não há pontas soltas. Todos os fios estão entremeados entre si e revestidos de significado. Isso me faz pensar que a cada momento que passamos sozinhos ou na companhia de outras pessoas, mesmo pequeno que esse o seja, é simplesmente único e irreversível. E com isso, um simples gesto é o suficiente para que esse momento se torne especial em nossas vidas. Então, podemos dizer que a felicidade que buscamos é formada pela união desses pequenos momentos únicos de alegria que compartilhamos ou são compartilhadas por outras pessoas.Com isso, para esse momento único de alegria, gostaria de agradecer principalmente aos meus pais pelo apoio incondicional em relação às minhas decisões tomadas durante a minha vida e por todos os sacrifícios feitos para que eu alcançasse a devida formação profissional com ética e dignidade.Um agradecimento especial ao meu orientador Prof Jacques Wainer pelos momentos de paciência e apoio durante todo o meu período de mestrado.Ao Alexandre Passos pela ajuda com o método Latent Dirichlet Allocation. E, não menos importante, a todos os meus amigos e pessoas que contribuíram para a realização desse trabalho. Acharia injusto citar nomes para mostrar o quão grato me sinto para superar mais esse desafio e, assim, creio que de todas as palavras que vêm à minha mente apenas estas podem expressar todo o meu sentimento nesse exato momento em relação a todos: Muito obrigado.

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Development of a multilingual text mining approach for knowledge discovery in patents

Cited by 2 publications

References 28 publications

Leverage Patent Analytics to Achieve Business-Oriented Objectives: A Pragmatic Approach

Leverage Patent Analytics to Achieve Business-Oriented Objectives: A Pragmatic Approach

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