A new semantic model for domain-ontology learning
Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language | English |
|---|---|
| Title of host publication | Human Centred Computing |
| Subtitle of host publication | First International Conference, HCC 2014, Phnom Penh, Cambodia, November 27-29, 2014, Revised Selected Papers |
| Editors | Qiaohong Zu, Bo Hu, Ning Gu, Sopheap Seng |
| Publication status | Published - 4 Mar 2015 |
| Event | 1st International Conference on Human Centered Computing, HCC 2014 - Phnom Penh, Cambodia Duration: 27 Nov 2014 → 29 Nov 2014 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 8944 |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Conference
| Conference | 1st International Conference on Human Centered Computing, HCC 2014 |
|---|---|
| Country | Cambodia |
| City | Phnom Penh |
| Period | 27/11/14 → 29/11/14 |
Keywords
- Ontology, Ontology Learning, OWL, XYZ model