Classifying Web Pages by Using Knowledge Bases for Entity Retrieval
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Topical categorization of search results based on a domain ontology
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Automatic web pages hierarchical classification using dynamic domain ontologies
International Journal of Knowledge and Web Intelligence
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
| Hi-index | 0.00 |
The use of ontology in order to provide a mechanism to enable machine reasoning has continuously increased during the last few years. This paper suggests an automated method for document classification using an ontology, which expresses terminology information and vocabulary contained in Web documents by way of a hierarchical structure. Ontology-based document classification involves determining document features that represent the Web documents most accurately, and classifying them into the most appropriate categories after analyzing their contents by using at least two predefined categories per given document features. In this paper, Web pages are classified in real time not with experimental data or a learning process, but by similar calculations between the terminology information extracted from Web pages and ontology categories. This results in a more accurate document classification since the meanings and relationships unique to each document are determined.