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A Proposed Artificial Neural Network (ANN) Model Using Geophone Sensors to Detect Elephants Near the Railway Tracks Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Semi-automatic Ontology Builder Based on Relation Extraction from Textual Data

Authors : Anjali Thukral, Ayush Jain, Mudit Aggarwal, Mehul Sharma

Published in: Advanced Computational and Communication Paradigms

Publisher: Springer Singapore

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Abstract

This paper proposes a semi-automated tool to build ontology from text. The tool consists of an analyzer to parse the given text and a mapper that maps NLP triple to RDF triple under user supervision. The resulted RDF triple is then validated through “triple validator” for its existence in the ontology. The triple is augmented to the ontology if it does not exist. System learns during this process and provides better mapping suggestions with time, making ontology building faster.

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Footnotes
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Metadata
Title
Semi-automatic Ontology Builder Based on Relation Extraction from Textual Data
Authors
Anjali Thukral
Ayush Jain
Mudit Aggarwal
Mehul Sharma
Copyright Year
2018
Publisher
Springer Singapore
Book
Advanced Computational and Communication Paradigms

Print ISBN: 978-981-10-8236-8

Electronic ISBN: 978-981-10-8237-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-8237-5_33