Quality Improves the Value of Patent Information to Promote Innovation (original) (raw)
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Enterprises evaluate intellectual property rights and the quality of patent documents in order to develop innovative products and discover state-of-the-art technology trends. The product technologies covered by patent claims are protected by law, and the quality of the patent insures against infringement by competitors while increasing the worth of the invention. Thus, patent quality analysis provides a means by which companies determine whether or not to customize and manufacture innovative products. Since patents provide significant financial protection for businesses, the number of patents filed is increasing at a fast pace. Companies which cannot process patent information or fail to protect their innovations by filing patents lose market competitiveness. Current patent research is needed to estimate the quality of patent documents. The purpose of this research is to improve the analysis and ranking of patent quality. The first step of the proposed methodology is to collect technology specific patents and to extract relevant patent quality performance indicators. The second step is to identify the key impact factors using principal component analysis. These factors are then used as the input parameters for a back-propagation neural network model. Patent transactions help judge patent quality and patents which are licensed or sold with intellectual property usage rights are considered high quality patents. This research collected 283 patents sold or licensed from the news of patent transactions and 116 patents which were unsold but belong to the technology specific domains of interest. After training the patent quality model, 36 historical patents are used to verify the performance of the trained model. The match between the analytical results and the actual trading status reached an 85% level of accuracy. Thus, the proposed patent quality methodology evaluates the quality of patents automatically and effectively as a preliminary screening solution. The approach saves domain experts valuable time targeting high value patents for R&D commercialization and mass customization of products.
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In recent years, there has been a massive growth of regulatory and related information available online. This information is distributed across many different domains creating a problem for accessing and managing this data. This paper proposes a framework to access information across two such domainspatents and court cases. The framework is designed to boost the value of a set of patents based on information available in court cases by identifying and cross-referencing mutual information in the two domains. We test our framework by constructing a use case involving the hormone erythropoietin. A corpus of 1150 patents (including 135 closely related patents) and 30 court cases is gathered. Challenges associated with such integration and future plans are briefly discussed.
ISSN 1684–5315 © 2006 Academic Journals Review Internet: A place for patent retrieval
2006
Countries design patent laws according to their respective economic interest. Before one files intellectual property one should know the regimes under which his intellectual property is placed. Intellectual properties are always of intense debate. The basic reason for the controversies is due to lack of transdisciplinary approaches to address patent concepts. In this present mini-review, we are presenting some web links that will help any researcher to get acquainted with the rules and regulation of filling an intellectual property of some countries as internet is now viewed as the place form where retrieval of information is possible with in seconds.
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Tools for Search, Analysis and Management of Patent Portfolios
Patents have been acknowledged worldwide as rich sources of information for technology forecasting, competitive analysis and management of patent portfolios. Because of the high potential of patents as an important indicator of various technology measurements and as econometric measure, patent analysis has become vital for corporate world and of interest to academic research. Retrieving relevant prior art, concerning the technology of interest, has been vital for managers and consultants dealing with intellectual property rights. Tremendous progress in the field of electronic search tools as of late has led to a specialised and less time consuming search capabilities even in the fields where search is mostly based on formulas, drawings and flowcharts. Online patent databases and various other analytical tools have given patent analysis an important edge, which otherwise required extensive and time consuming data collection and calculations. Patents provide valuable information which could be used for various purposes by industry, academia, and policy analysts. This article explores the various options and tools available for patent search, analysis and management of patent portfolios, for efficiently identifying the relevant prior art, managing their own patent clusters and/or competitive intelligence.