AUTOMATIC ONTOLOGY CONSTRUCTION IN FICTION-BASED DOMAIN

Author:

GOH HUI-NGO1,KIU CHING-CHIEH1,SOON LAY-KI1,RANAIVO-MALANÇON BALI1

Affiliation:

1. Multimedia University, Faculty of Information Technology, Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia

Abstract

The field of ontology has received attention lately due to the increasing needs in conceptualizing the domain knowledge for resolving various jobs' demand. Numerous new techniques, tools and applications have then been developed for their suitability in managing knowledge. However, most works carried out focused on non-fiction domain and categorizing the concepts into component or cluster. Hence, the originality of the content flow is not preserved. This paper presents an automated ontology construction in fiction domain. The significance of the study lies in (1) designing a simple and easy algorithmic framework for automated ontology construction while preserving the originality of the content flow in an ontology, (2) identification of suitable threshold value in extracting true terms, and (3) process an unstructured fiction-based domain text into meaningful structure automatically.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Plot extraction and the visualization of narrative flow;Natural Language Engineering;2023-05-23

2. Building a large-scale testing dataset for conceptual semantic annotation of text;International Journal of Computational Science and Engineering;2018

3. Building the search pattern of web users using conceptual semantic space model;International Journal of Web and Grid Services;2016

4. Research on Construction of Database Domain Ontology;Advanced Materials Research;2013-07

5. Automatic Identification of Protagonist in Fairy Tales Using Verb;Advances in Knowledge Discovery and Data Mining;2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3