Abstract
Based on the introduction of Google Scholar and other traditional academic search engines, this paper analyzes the comprehensive application of artificial intelligence technology in the academic search engine based on the new features of network academic resources. Under the open access environment, based on artificial intelligence, a new generation of academic search engines, accurate and quick access to high quality academic knowledge provides the conditions; this paper discusses the based on artificial intelligence of a new generation of academic search engine:, Semantic Scholar Academic search in the field of Computer Science. Through technical analysis and case analysis and Research on new generations of academic search engines such as using semantic search and artificial intelligence technology, and forecasts the development trend of the academic search engines.
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Acknowledgements
This work was supported by 2018 Anhui Provincial Department of education outstanding young talents support program (gxyq2018128).
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Yue, G., Peng, S. (2021). Application of Artificial Intelligence in the Academic Search Engine. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Advances in Intelligent Systems and Computing, vol 1398. Springer, Cham. https://doi.org/10.1007/978-3-030-79200-8_90
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DOI: https://doi.org/10.1007/978-3-030-79200-8_90
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