Towards content-oriented patent document processing: Intelligent patent analysis and summarization

Brügmann, Sören; Bouayad-Agha, Nadjet; Burga, Alicia; Carrascosa, Serguei; Ciaramella, Alberto; Ciaramella, Marco; Codina-Filbà, Joan; Escorsa, Enric; Judea, Alex; Mille, Simon; Müller, Andréas; Saggion, Horacio; Ziering, Patrick; Schütze, Hinrich; Wanner, Leo

doi:10.1016/j.wpi.2014.10.003

Cited by 33 publications

(7 citation statements)

References 5 publications

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“…These techniques serve to extract information about technological innovations for businesses to make strategic investment [7] and to resolve problems inherent within the patent data for search and analysis. Research based methods generally enrich the patent data, such as with metadata [1], the classification taxonomy from the patent office [11], derived data from the patent text and text summarisations [4], informative data from patent citations and academic citations [6], patent domains [5], relationship with other patents [2], and a combination of methods for forecasting technologies [7].…”

Section: Related Workmentioning

confidence: 99%

Towards a Predictive Patent Analytics and Evaluation Platform

Alam,

Tran,

Chen

et al. 2019

Preprint

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The importance of patents is well recognised across many regions of the world. Many patent mining systems have been proposed, but with limited predictive capabilities. In this demo, we showcase how predictive algorithms leveraging the state-of-the-art machine learning and deep learning techniques can be used to improve understanding of patents for inventors, patent evaluators, and business analysts alike. Our demo video is available at http://ibm.biz/ecml2019-demo-patent-analytics

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Section: Related Workmentioning

confidence: 99%

Towards a Predictive Patent Analytics and Evaluation Platform

Alam,

Tran,

Chen

et al. 2019

Preprint

View full text Add to dashboard Cite

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“…La CIP tiene su origen en el arreglo de Estrasburgo de 1971; es un sistema de símbolos alfanuméricos y jerárquicos para clasificar las patentes y los modelos de utilidad [11]. Es independiente del idioma que se use.…”

Section: La Clasificación Internacional De Patentes (Cip)unclassified

Potencial en el uso de la consulta de patentes para determinar el estado de la tecnica. Analisis en microredes con energías renovables

Zuluaga

Rivera

Ortíz

2017

I2+D

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En este artículo se busca exponer la importancia de la consulta de patentes en el marco del desarrollo científico y tecnológico. Se muestran las características principales de las patentes, así como las ventajas que estos documentos pueden ofrecer sobre las fuentes de información más usadas en la investigación tradicional, como artículos científicos y profesionales. También se expone la Clasificación Internacional de Patentes, que conviene conocer si se quiere extraer información de las patentes exitosamente. Para finalizar, se muestra un ejemplo de la consulta de patentes alrededor del caso de estudio de las microrredes en los sistemas de potencia, con alta penetración de energía renovable. Con este caso estudio se busca invitar al lector a incluir la consulta de patentes entre sus hábitos de búsqueda bibliográfica.

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“…Such types of data need to be anonymized with some of the on the selection and processing of keywords for patent analysis, and Brügmann et al [2] presented an operational prototype of a workbench for patent document analysis and summarization. Text mining and visualization based approaches had also been used for analyzing the patent content in the vast body of literature [1].…”

Section: Introductionmentioning

confidence: 99%

Data anonymization patent landscape

Bach

Pivar

Dumičić

2017

CRORR

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Abstract. The omnipresent, unstoppable increase in digital data has led to a greater understanding of the importance of data privacy. Different approaches are used to implement data privacy. The goal of this paper is to develop a data anonymization patent landscape, by determining the following: (i) the trend in data anonymization patenting, (ii) the type of technical content protected in data anonymization, (iii) the organizations and countries most active in patenting data anonymization know-how; and (iv) the topics emerging most often in patent titles. Patents from the PatSeer database relating to data anonymization from 2001 to 2015 were analyzed. We used the longitudinal approach in combination with text mining techniques to develop a data anonymization patent landscape. The results indicated the following. The number of single patent families is growing with a high increase after 2010, thus indicating a positive trend in the area of patenting data anonymization solutions. The majority of patenting activities relate to the G Physics section. Organizations from the USA and Japan assigned the majority of patents related to data anonymization. The results of text mining indicate that the most often used word in titles of data anonymization patents are "anonym*, "method", "data" and "system". Several additional words that indicated the most frequent topics related to data anonymization were: "equipment", "software", "protection", "identification", or "encryption", and specific topics such as "community", "medical", or "service".

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Towards content-oriented patent document processing: Intelligent patent analysis and summarization

Cited by 33 publications

References 5 publications

Towards a Predictive Patent Analytics and Evaluation Platform

Towards a Predictive Patent Analytics and Evaluation Platform

Potencial en el uso de la consulta de patentes para determinar el estado de la tecnica. Analisis en microredes con energías renovables

Data anonymization patent landscape

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