Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
A Robust Competitive Clustering Algorithm With Applications in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A methodology for ontology integration
Proceedings of the 1st international conference on Knowledge capture
A collaborative approach to ontology design
Communications of the ACM - Ontology: different ways of representing the same concept
Modern Information Retrieval
Creating Semantic Web Contents with Protégé-2000
IEEE Intelligent Systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Automatic Topic Identification Using Ontology Hierarchy
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Part 1: introduction to ontological engineering
New Generation Computing - Quantum computing
WordNet Ontology Based Model for Web Retrieval
WIRI '05 Proceedings of the International Workshop on Challenges in Web Information Retrieval and Integration
Position paper: ontology construction from online ontologies
Proceedings of the 15th international conference on World Wide Web
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
A Graph-Theoretic Approach to Nonparametric Cluster Analysis
IEEE Transactions on Computers
A Branch and Bound Clustering Algorithm
IEEE Transactions on Computers
Constructing a Global Ontology by Concept Mapping Using Wikipedia Thesaurus
AINAW '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications - Workshops
Measuring the similarity between implicit semantic relations from the web
Proceedings of the 18th international conference on World wide web
Relevence Assessment of Topic Ontology
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
OntoCase-Automatic Ontology Enrichment Based on Ontology Design Patterns
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Supply chain ontology: Review, analysis and synthesis
Computers in Industry
K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semi-automatic construction of topic ontologies
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
Effective Tag Recommendation System Based on Topic Ontology Using Wikipedia and WordNet
International Journal of Intelligent Systems
OntoClippy: A User-Friendly Ontology Design and Creation Methodology
International Journal of Intelligent Information Technologies
Construction of Domain Ontologies: Sourcing the World Wide Web
International Journal of Intelligent Information Technologies
An Ontology Based Model for Document Clustering
International Journal of Intelligent Information Technologies
Applying Semantic Web Technologies to Ontology Alignment
International Journal of Intelligent Information Technologies
Deontic Logic Based Ontology Alignment Technique for E-Learning
International Journal of Intelligent Information Technologies
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Due to the explosive growth of web technology, a huge amount of information is available as web resources over the Internet. Therefore, in order to access the relevant content from the web resources effectively, considerable attention is paid on the semantic web for efficient knowledge sharing and interoperability. Topic ontology is a hierarchy of a set of topics that are interconnected using semantic relations, which is being increasingly used in the web mining techniques. Reviews of the past research reveal that semiautomatic ontology is not capable of handling high usage. This shortcoming prompted the authors to develop an automatic topic ontology construction process. However, in the past many attempts have been made by other researchers to utilize the automatic construction of ontology, which turned out to be challenging due to time, cost and maintenance. In this paper, the authors have proposed a corpus based novel approach to enrich the set of categories in the ODP by automatically identifying the concepts and their associated semantic relationship with corpus based external knowledge resources, such as Wikipedia and WordNet. This topic ontology construction approach relies on concept acquisition and semantic relation extraction. A Jena API framework has been developed to organize the set of extracted semantic concepts, while Protégé provides the platform to visualize the automatically constructed topic ontology. To evaluate the performance, web documents were classified using SVM classifier based on ODP and topic ontology. The topic ontology based classification produced better accuracy than ODP.