An empirical assessment and categorization of journals relevant to DSS research
Decision Support Systems
Rembrandts in the attic: unlocking the hidden value of patents
Rembrandts in the attic: unlocking the hidden value of patents
Mining a web citation database for author co-citation analysis
Information Processing and Management: an International Journal
Introduction to the special issue on patent processing
Information Processing and Management: an International Journal
Text mining techniques for patent analysis
Information Processing and Management: an International Journal
Journal of Information Science
Expert Systems with Applications: An International Journal
Automatic discovery of technology trends from patent text
Proceedings of the 2009 ACM symposium on Applied Computing
Document Clustering Description Extraction and Its Application
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
A design rationale representation model using patent documents
Proceedings of the 2nd international workshop on Patent information retrieval
Generic title labeling for clustered documents
Expert Systems with Applications: An International Journal
Estimating node similarity from co-citation in a spatial graph model
Proceedings of the 2010 ACM Symposium on Applied Computing
Citation-based methods for personalized search in digital libraries
WISE'07 Proceedings of the 2007 international conference on Web information systems engineering
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A rough set based approach to patent development with the consideration of resource allocation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A patent examining expert system using pattern recognition
Expert Systems with Applications: An International Journal
Hybrid-patent classification based on patent-network analysis
Journal of the American Society for Information Science and Technology
Patent classification of the new invention using PLSA
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Expert Systems with Applications: An International Journal
Patent co-citation networks of Fortune 500 companies
Scientometrics
A Semantic-based Intellectual Property Management System (SIPMS) for supporting patent analysis
Engineering Applications of Artificial Intelligence
A patent quality analysis for innovative technology and product development
Advanced Engineering Informatics
Toward generic title generation for clustered documents
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Extract conceptual graphs from plain texts in patent claims
Engineering Applications of Artificial Intelligence
Knowledge-transfer analysis based on co-citation clustering
Scientometrics
Analyzing interdisciplinarity of technology fusion using knowledge flows of patents
Expert Systems with Applications: An International Journal
Hi-index | 0.01 |
The paper proposes a new approach to create a patent classification system to replace the IPC or UPC system for conducting patent analysis and management. The new approach is based on co-citation analysis of bibliometrics. The traditional approach for management of patents, which is based on either the IPC or UPC, is too general to meet the needs of specific industries. In addition, some patents are placed in incorrect categories, making it difficult for enterprises to carry out R&D planning, technology positioning, patent strategy-making and technology forecasting. Therefore, it is essential to develop a patent classification system that is adaptive to the characteristics of a specific industry. The analysis of this approach is divided into three phases. Phase I selects appropriate databases to conduct patent searches according to the subject and objective of this study and then select basic patents. Phase II uses the co-cited frequency of the basic patent pairs to assess their similarity. Phase III uses factor analysis to establish a classification system and assess the efficiency of the proposed approach. The main contribution of this approach is to develop a patent classification system based on patent similarities to assist patent manager in understanding the basic patents for a specific industry, the relationships among categories of technologies and the evolution of a technology category.