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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Veröffentlicht in:	International journal of information management data insights Jg. 5; H. 2; S. 100366
Hauptverfasser:	Abbasi Dashtaki, Neda, CheshmehSohrabi, Mehrdad, Pashootanizadeh, Mitra, Baradaran Kashani, Hamidreza
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2025 Elsevier
Schlagworte:	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
Online-Zugang:	Volltext
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