Patent filing and searching: Is deflation in quality the inevitable consequence of hyperinflation in quantity?

Philipp, Minoo

doi:10.1016/j.wpi.2006.01.006

Cited by 25 publications

(6 citation statements)

References 3 publications

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“…It has become more complex, thus necessitating more sophisticated methods (Schoch-Grübler, 2004). With the explosion of the number of patents, the quantity of information to deal with has also increased (Philipp, 2006). On the other hand, information users have evolved.…”

Section: A) Ensuring Access To Disclosed Informationmentioning

confidence: 99%

Patents and Innovation: Friends or Foes?

Lévèque

Ménière

2006

SSRN Journal

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Section: A) Ensuring Access To Disclosed Informationmentioning

confidence: 99%

Patents and Innovation: Friends or Foes?

Lévèque

Ménière

2006

SSRN Journal

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“…It is important to highlight that there are studies [5][6][7] showing that changes in the workload of examiners can affect the quality of the examination process and its results, suggesting that a factor with high potential of causing instability in the applications/registrations and discrepancies in the decisions of a patent office is the unbalanced workload of patent examiners, i.e., an uneven distribution of patent applications among them. Additionally, it is also relevant to highlight that a specific study [8] using automatically data related to INPI-BR applications showed that the volume of patent applications can be used as a measure of examiner's workload, and suggests that claim's pages is probably a key workload indicator.…”

Section: Introductionmentioning

confidence: 99%

A Methodology for Evaluation and Distribution of Patent Applications to INPI-BR Patent Examiners: A Case Study in the Electricity Field

Júnior¹,

Golodne²,

Rodrigues³

2022

Intellectual Property

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This paper presents the development of a new methodology for evaluation and distribution of patent applications to the examiners at the Brazilian Patent Office considering a specific technological field, represented by classification of the application according to the International Patent Classification (IPC), and the variables corresponding to the volume of data of the application and its complexity for the examination process. After identifying the most relevant variables, such as the Specific Areas of Expertise (ZAE) of the examiners, a mathematical model was developed, including: (a) application of the principal component analysis (PCA) method; (b) calculation of a General Complexity Ratio (IGC); (c) classification into five classes (very light, light, moderate, heavy and very heavy) according to IGC average ranges and standard deviations; (d) implementation of a logic of distribution, compensating very heavy applications with very light ones, and light applications with heavy ones; and (e) calculation of a Distribution Balancing Ratio (IBD), considering the differences between the samples’ medians. The model was validated using a sample of patent applications including, in addition to the identified variables, the time for substantive examination by the examiner. Then, a correlation analysis of the variables with time and a comparison of the classifications according to the time and the IGC generated by the model were carried out. The results obtained showed a high correlation of the IGC with time, above 80%, as well as correct IGC classes in more than 80% of applications. The model proposed herein suggests that the three main relevant variables are: total number of pages, total number of claims, and total number of claim pages.

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“…A side effect of such explosion affects also the performance of patent examiners: actually their available time per patent to be analysed is decreasing and as a consequence the quality of both search and analysis diminishes as well [3,4].…”

Section: Introductionmentioning

confidence: 99%

Automatic extraction of function–behaviour–state information from patents

Fantoni

Apreda

Dell’Orletta⋄

et al. 2013

Advanced Engineering Informatics

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Patents contain a large quantity of technical information not available elsewhere and therefore very interesting for both academia and industry. The purpose of the research is to try to detect and extract information about the functions, the physical behaviours and the states of the system directly from the text of a patent in an automatic way. The above three categories constitute a well-known set of relevant entities in the theory of engineering design, and their study allows powerful analysis of individual artefacts as well as that of groups of products or technologies. The focus is in providing a handy tool that could speed up and facilitate human analysis and allow tackling also large corpora of documents. A second goal is to develop a protocol based on free software and database resources, so that it could be replicable with limited effort by everyone without having to rely on commercial databases.Extracting technical and design information from a document whose aim is more legal than technical, and that is written using a specific jargon, is not a trivial task. The approach chosen to overcome the various issues is to support state-of-the-art Computational Linguistic tools with a large Knowledge Base. The latter has been constructed both manually and automatically and comprises not only keywords but also concepts, relationships and regular expressions. A case study about a very recent patent describing a mechanical device has been included to show the functioning and output of the entire system.

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Patent filing and searching: Is deflation in quality the inevitable consequence of hyperinflation in quantity?

Cited by 25 publications

References 3 publications

Patents and Innovation: Friends or Foes?

Patents and Innovation: Friends or Foes?

A Methodology for Evaluation and Distribution of Patent Applications to INPI-BR Patent Examiners: A Case Study in the Electricity Field

Automatic extraction of function–behaviour–state information from patents

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