SEPHWIR: Search Engine Parsing for Hidden Web Information Retrieval-Reference-Cited by-同舟云学术

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SEPHWIR: Search Engine Parsing for Hidden Web Information Retrieval

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)
language:
Short-container-title:

Author:

Sehgal Manpreet Singh¹,Gupta Sachin²,Sehgal Twinkle³

Affiliation:

1. Apeejay Stya University,School of Engineering and Technology,Gurugram,India

2. MVN University,Dept. of Computer Science and Engineering,Palwal,India

3. Matrikiran,Dept. of Computer Science,Gurugram,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10125293/10125294/10125405.pdf?arnumber=10125405

Reference15 articles.

1. Information retrieval and processing system for news articles in English

2. Keyword Queries over the Deep Web

3. A novel linear tangents based P&O scheme for MPPT of a PV system

4. Information extraction meets the Semantic Web: A survey

5. Searching the Web for illegal content: the anatomy of a semantic search engine

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