A new semantic model for domain-ontology learning

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Authors

Colleges, School and Institutes

External organisations

  • Birmingham City University

Abstract

Nowadays, ontology has been widely used in computer science. With the rapid development of it, Ontology Learning (OL) becomes one of the main research topics. However, with the current technology, all existing OL (from unstructured data source) methods rely on predefined knowledge about a specific domain. In this case, it’s more like an ontology enrichment process rather than a learning process. In this paper, a new learning model will be introduced. Rather than working on language level, this new approach focusing on structure level and trying to identify why and how a particular structure can represent a specific thing. Therefore, it allows the OL process not to rely on the predefined knowledge about a specific domain which people want to build an ontology for.

Details

Original languageEnglish
Title of host publicationHuman Centred Computing
Subtitle of host publicationFirst International Conference, HCC 2014, Phnom Penh, Cambodia, November 27-29, 2014, Revised Selected Papers
EditorsQiaohong Zu, Bo Hu, Ning Gu, Sopheap Seng
Publication statusPublished - 4 Mar 2015
Event1st International Conference on Human Centered Computing, HCC 2014 - Phnom Penh, Cambodia
Duration: 27 Nov 201429 Nov 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8944
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference1st International Conference on Human Centered Computing, HCC 2014
CountryCambodia
CityPhnom Penh
Period27/11/1429/11/14

Keywords

  • Ontology, Ontology Learning, OWL, XYZ model