A Comparison of Local Analysis, Global Analysis and Ontology-based Query Expansion Strategies for Bio-medical Literature Search
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IEEE
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http://xplorestaging.ieee.org/ielx5/4273787/4274280/04274415.pdf?arnumber=4274415
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Information Retrieval in Bioinformatics: State of the Art and Challenges;Information Retrieval in Bioinformatics;2022
2. A supervised term ranking model for diversity enhanced biomedical information retrieval;BMC Bioinformatics;2019-12
3. Opportunities and challenges in enhancing access to metadata of cultural heritage collections: a survey;Artificial Intelligence Review;2019-10-09
4. Learning to Refine Expansion Terms for Biomedical Information Retrieval Using Semantic Resources;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2019-05-01
5. A linguistically driven framework for query expansion via grammatical constituent highlighting and role-based concept weighting;Information Processing & Management;2016-03
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