Application of Intelligent Information Retrieval For Big Data Oriented Brain Science

DOI

10.2991/amcce-18.2018.156How to use a DOI?

Keywords

Brain Science; Big Data; Information Retrieval; Semantic Similarity Computation; Ontology

Abstract

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/amcce-18.2018.156
ID  - Jia2018/05
ER  -