Towards language independent automated learning of text categorization models
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluating and optimizing autonomous text classification systems
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Information storage and retrieval
Information storage and retrieval
Boosting and Rocchio applied to text filtering
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Automatic RDF metadata generation for resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
A probabilistic description-oriented approach for categorizing web documents
Proceedings of the eighth international conference on Information and knowledge management
Hierarchical classification of Web content
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
IEEE Intelligent Systems
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Ontology-Based Automatic Classification for the Web Pages: Design, Implementation and Evaluation
WISE '02 Proceedings of the 3rd International Conference on Web Information Systems Engineering
DASFAA '01 Proceedings of the 7th International Conference on Database Systems for Advanced Applications
The construction of domain ontology and its application to document retrieval
ADVIS'04 Proceedings of the Third international conference on Advances in Information Systems
Semantic-based grouping of search engine results using WordNet
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Topical categorization of search results based on a domain ontology
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
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The use of an ontology in order to provide a mechanism to enable machine reasoning has continuously increased during the last few years. This paper proposed 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 pre-defined categories per given document features. In this paper, Web documents are classified in real time not with experimental data or a learning process, but by similarity calculations between the terminology information extracted from Web documents and ontology categories. This results in a more accurate document classification since the meanings and relationships unique to each document are determined.