This paper starts from the construction of knowledge base in the field of microbiology
study the domain knowledge dictionary construction algorithm
and implement semantic retrieval function on this basis. We designed and implemented a knowledge retrieval system and analyzed the recall and precision of the system. The results showed that compared with the keyword-based retrieval
semantic retrieval based on the knowledge base improved the recall of 72% and 5% in precision.
关键词
Keywords
references
Lai Lienfu, Wu Chaochin, Lin Peiying, et al. Developing a fuzzy search engine based on fuzzy ontology and semantic search[C]//International Conference on Fuzzy Systems. Taiwan, IEEE, 2011.
Tao Tengyang, Zhao Ming. An ontology-based information retriveval model for vegetables E-commerce[J]. Journal of Integrative Agriculture, 2012, 5(11): 800-807. DOI: 800
Debajyoti Mukhopadhyay, Aritra Banik, Sreemoyee Mukherjee, et al. A domain specific ontology based semantic web search engine[C]//International Workshop on MSPT Proceedings. Jeonju, 2007.
Remi S, Varghese S C. Domain ontology driven fuzzy semantic information retrieval[C]//International Conference on Information and Communication Technologies. Holland, Procedia Computer Science, 2015.
Xin Hou, Ong S K, Nee A Y C, et al. GRAONTO: a graph-based approach for automatic construction of domain ontology[J]. Expert Systems with Applications, 2011, 38(9): 11958-11975. DOI: 11958
Song Wanli, Ni Lixian. Semantic query and reasoning system based on domain ontology[C]//International Symposium on Computers % Informatics. France, Atlantis Press, 2015.
Miriam Fernández, Iván Cantador, Vanesa López, et al. Semantically enhanced information retrieval: an ontology-based approach[J]. Web Semantics: Science, Services and Agents on the World Wide Web, 2011, 9(4): 434-452. DOI: 434