Application of Intelligent Information Retrieval For Big Data Oriented Brain Science
Available Online May 2018.
- https://doi.org/10.2991/amcce-18.2018.156How to use a DOI?
- Brain Science; Big Data; Information Retrieval; Semantic Similarity Computation; Ontology
- With the development of brain and cognition technology, the research on brain science is more and more thorough. And big data related to brain science is emerging. How to acquire and share these data in time is a very urgent problem in the development of brain science. Traditional information retrieval technology is often based on keyword matching, which does not investigate the semantics of retrieval words or search phrases. It has great defects in the field of brain science. And it is difficult to meet the retrieval requirements of brain science. The information retrieval about brain science has characteristics of real-time and retrieval methods diversification. So combining Ontology technology and professional needs, we proposed intelligent retrieval model based on ontology, which is suitable for the field of brain science. We improved semantic similarity algorithm more suitable for brain science information query. And the experimental results show that the retrieval of semantic similarity based on the improved algorithm can improve the recall and precision of information retrieval.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Baoxian Jia PY - 2018/05 DA - 2018/05 TI - Application of Intelligent Information Retrieval For Big Data Oriented Brain Science BT - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018) PB - Atlantis Press SP - 888 EP - 892 SN - 2352-5401 UR - https://doi.org/10.2991/amcce-18.2018.156 DO - https://doi.org/10.2991/amcce-18.2018.156 ID - Jia2018/05 ER -