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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM56894

Next-Generation Research Aid: Intelligent Knowledge Extraction from Scientific Literature

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM56894

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DSR

Dr. S. Rajarajan

SD

S. Dinesh

SL

S. Lexmadurai

SM

S. Mutheeswaran

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Abstract

The exponential increase in scientific publications across multiple disciplines has significantly complicated the process of knowledge discovery, literature analysis, and research synthesis. With thousands of research articles published daily, researchers struggle to keep pace with emerging research trends, evolving methodologies, and unexplored research gaps. Conventional

KEYWORDS

based search systems which depend heavily on exact term matching often fail to capture deeper semantic relationships between concepts

Cite This Article

Dr. S. Rajarajan, S. Dinesh, S. Lexmadurai, S. Mutheeswaran, "Next-Generation Research Aid: Intelligent Knowledge Extraction from Scientific Literature," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026.

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2/26/2026

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The authors declare no conflict of interest related to this research work.

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