Retrieving and discovering new knowledge from documents' abstracts in scientific databases: Proposing a query-based abstractive summarization model

•Current Search Tools in Scientific Database Cannot Extract and Discover New Knowledge.•Using PRISMA Method to Retrieve and Discover New Knowledge in Scientific Database.•Proposing an Automated Model for Discovering New Knowledge in Scientific Database.•Appling QBAS Model for Discovering New Knowled...

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Vydané v:	International journal of information management data insights Ročník 5; číslo 2; s. 100366
Hlavní autori:	Abbasi Dashtaki, Neda, CheshmehSohrabi, Mehrdad, Pashootanizadeh, Mitra, Baradaran Kashani, Hamidreza
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2025 Elsevier
Predmet:	Document' Abstract Information Retrieval (IR) Knowledge Discovery (KD) Knowledge Extraction (KE) Knowledge Retrieval (KR) Meta-analysis PRISMA Query-Based Abstractive Summarization (QBAS) Retrieval-Augmented Generation (RAG) Scientific databases Systematic review Knowledge Extraction (KE) Scientific databases Query-Based Abstractive Summarization (QBAS) Knowledge Discovery (KD) Document' Abstract Retrieval-Augmented Generation (RAG) Information Retrieval (IR) Systematic review PRISMA Knowledge Retrieval (KR) Meta-analysis
ISSN:	2667-0968, 2667-0968
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