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Knowledge dissemination patterns in the information retrieval industry: A case study for automatic classification techniques

Paper ID Volume ID Publish Year Pages File Format Full-Text
37878 45638 2014 8 PDF Available
Title
Knowledge dissemination patterns in the information retrieval industry: A case study for automatic classification techniques
Abstract

•Bibliometric analysis of patents about text classification and clustering.•It identifies those companies with higher productivity and impact.•It shows the evolution of the market key players based on patent citation.•Bibliometric indicators are used to characterize companies.•The proposed methodology can be applied to any other subject area.

Patents provide valuable information to identify flows in the transfer of technical knowledge and assess the innovation capabilities of the actors involved in different industries. Patent citations are also recognized as a valid tool to measure the impact of innovations and to identify key influencers in diverse activity sectors.This study analyzes a collection of U.S. patents granted in the period between 1990 and 2012 for the subject “automatic document clustering and classification”, a key technology within the Information Retrieval and Text Mining disciplines. The purpose of this research is to identify – using citation analysis – the most productive and influential companies and journals, and the patterns followed in the transfer and sharing of technical knowledge. The paper identifies the most productive organizations (those that have been granted a higher number of patents) and those with a higher impact (organizations whose patents have received a major number of citations), and compares the generated rankings with those obtained using traditional bibliometric indicators. The conclusions provide an overview of the innovation landscape in the area of study, and suggest to which extent bibliometric indicators match the conclusions obtained after analyzing productivity and impact using patent citation.

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Keywords
Citation analysis; Automatic document classification; Document clustering; Bibliometric indicators; Innovation capability assessment
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Knowledge dissemination patterns in the information retrieval industry: A case study for automatic classification techniques
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Publisher
Database: Elsevier - ScienceDirect
Journal: World Patent Information - Volume 39, December 2014, Pages 50–57
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us