Abstract: In today's digital generation, we have access to an enormous amount of information. However, it can be a time-consuming task for users to read, sort, and summarise all this information. To address this challenge, a method called multi-document summarisation has been developed using a rule engine. Multi-document summarisation involves the extraction of valuable and relevant information from a collection of uploaded documents. It aims to create concise and coherent summaries of the content within these documents. This approach is essential in various applications, including market reviews, search engines, and business analysis. Summarising multiple documents in this manner enables users to quickly obtain the necessary information from the entire set of referenced documents. The specific approach used in multi-document summarisation is extractive, which means it selects and combines existing content from the source documents to create a summary. The goal of the research paper mentioned is to employ a rule engine to summarise text from multiple documents using an extractive approach. This will result in a coherent and meaningful output, benefiting users in managing and extracting information from a large volume of documents.

Keywords: Document summarization, Extractive approach, Rule Engine, domain oriented

Virendra Yadav, Anshul Gedam, Sanskar Korekar, Pranay There, Sujal Bitle, Tarang Bhaisare, "Multi Document Summarisation Using Rule Engine", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 1, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13118.

PDF | DOI: 10.17148/IJARCCE.2024.13118

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