A patent search and classification system
Proceedings of the fourth ACM conference on Digital libraries
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Enhancing patent retrieval by citation analysis
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Toward a more rational patent search paradigm
Proceedings of the 1st ACM workshop on Patent information retrieval
Automatic query generation for patent search
Proceedings of the 18th ACM conference on Information and knowledge management
PRES: a score metric for evaluating recall-oriented information retrieval applications
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the third symposium on Information interaction in context
Building queries for prior-art search
IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
Knowledge modeling in prior art search
IRFC'10 Proceedings of the First international Information Retrieval Facility conference on Adbances in Multidisciplinary Retrieval
Lexical issues of a syntactic approach to interactive patent retrieval
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
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This paper presents a relatively simple, objective and repeatable method for selecting sets of patents that are representative of a specific technological domain. The methodology consists of using search terms to locate the most representative international and US patent classes and determines the overlap of those classes to arrive at the final set of patents. Five different technological fields (computed tomography, solar photovoltaics, wind turbines, electric capacitors, electrochemical batteries) are used to test and demonstrate the proposed method. Comparison against traditional keyword searches and individual patent class searches shows that the method presented in this paper can find a set of patents with more relevance and completeness and no more effort than the other two methods. Follow on procedures to potentially improve the relevancy and completeness for specific domains are also defined and demonstrated. The method is compared to an expertly selected set of patents for an economic domain, and is shown to not be a suitable replacement for that particular use case. The paper also considers potential uses for this methodology and the underlying techniques as well as limitations of the methodology.