Document Ranking and the Vector-Space Model
IEEE Software
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Cluster-based patent retrieval
Information Processing and Management: an International Journal
Data Mining and Knowledge Discovery Handbook
Data Mining and Knowledge Discovery Handbook
An IPC-based vector space model for patent retrieval
Information Processing and Management: an International Journal
To propose strategic suggestions for companies via IPC classification and association analysis
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
Emerging technology exploration using rare information retrieval and link analysis
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Journal of Information Science
| Hi-index | 0.00 |
In order to aggregate the professional knowledge of examiners (of patent office) in the IPC code assignment and the innovative information within the patent documents, an IPC-based clustering is proposed for formulating the technology strategy. Technology strategy represents managers' efforts to think systematically about the role of technology in decisions affecting the long-term success of the organization. IPC-based clustering is utilized to generate the technical categories via the IPC and Abstract fields, while link analysis is adopted to generate the relation types for the whole dataset via the Abstract, Issue Date, and Assignee Company fields. During experiment, the technical categories have been identified using IPC-based clustering, and the technology strategies for significant companies have been formulated through link analysis. Finally, the technical categories and technology strategies will be provided to the managers and stakeholders for assisting their decision making.