Ontology-based heuristic patent search

作     者：Cong-Phuoc Phan Hong-Quang Nguyen Tan-Tai Nguyen 

作者机构：Int Univ Ho Chi Minh City Vietnam HCMI Int Univ Ho Chi Minh City Vietnam 

出 版 物：《INTERNATIONAL JOURNAL OF WEB INFORMATION SYSTEMS》 (国际网络信息系统杂志)

年 卷 期：2019年第15卷第3期

页      面：258-284页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Vietnam National University Ho Chi Minh City (VNUHCM) [C2016-2808] 

主　　题：Managing and storing XML data Indexing and retrieval of XML data Metadata and ontologies 

摘      要：Purpose Large collections of patent documents disclosing novel, non-obvious technologies are publicly available and beneficial to academia and industries. To maximally exploit its potential, searching these patent documents has increasingly become an important topic. Although much research has processed a large size of collections, a few studies have attempted to integrate both patent classifications and specifications for analyzing user queries. Consequently, the queries are often insufficiently analyzed for improving the accuracy of search results. This paper aims to address such limitation by exploiting semantic relationships between patent contents and their classification. Design/methodology/approach The contributions are fourfold. First, the authors enhance similarity measurement between two short sentences and make it 20 per cent more accurate. Second, the Graph-embedded Tree ontology is enriched by integrating both patent documents and classification scheme. Third, the ontology does not rely on rule-based method or text matching;instead, an heuristic meaning comparison to extract semantic relationships between concepts is applied. Finally, the patent search approach uses the ontology effectively with the results sorted based on their most common order. Findings The experiment on searching for 600 patent documents in the field of Logistics brings better 15 per cent in terms of F-Measure when compared with traditional approaches. Social implications High quality of patent search results will reduce the patent infringement. Originality/value The proposed ontology is semantically enriched by integrating both patent documents and their classification. This ontology facilitates the analysis of the user queries for enhancing the accuracy of the patent search results.