Swarm intelligence
Document Ranking and the Vector-Space Model
IEEE Software
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
WWW '03 Proceedings of the 12th international conference on World Wide Web
Improving domain ontologies by mining semantics from text
APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
Ontology-Based Information Retrieval Model for the Semantic Web
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
Semantic similarity methods in wordNet and their application to information retrieval on the web
Proceedings of the 7th annual ACM international workshop on Web information and data management
Mining Ontology for Automatically Acquiring Web User Information Needs
IEEE Transactions on Knowledge and Data Engineering
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
A Relation-Based Search Engine in Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Ontology Matching
Ontology-Based Query System Design and Implementation
NPC '07 Proceedings of the 2007 IFIP International Conference on Network and Parallel Computing Workshops
Semantic-Enhanced Information Search and Retrieval
ALPIT '07 Proceedings of the Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007)
Introduction to Information Retrieval
Introduction to Information Retrieval
Research on Ontology-Based Text Clustering
SMAP '08 Proceedings of the 2008 Third International Workshop on Semantic Media Adaptation and Personalization
Particle Swarm Optimization Based Clustering of Web Usage Data
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Supervised and Traditional Term Weighting Methods for Automatic Text Categorization
IEEE Transactions on Pattern Analysis and Machine Intelligence
OntoSearch: a full-text search engine for the semantic web
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Comparison of similarity measures for clustering Turkish documents
Intelligent Data Analysis
Ontology Based Semantic Measures in Document Similarity Ranking
ARTCOM '09 Proceedings of the 2009 International Conference on Advances in Recent Technologies in Communication and Computing
A comparative study of ontology based term similarity measures on PubMed document clustering
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Clustering deep web databases semantically
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
An Efficient Concept-Based Mining Model for Enhancing Text Clustering
IEEE Transactions on Knowledge and Data Engineering
Unsupervised Semantic Similarity Computation between Terms Using Web Documents
IEEE Transactions on Knowledge and Data Engineering
An ontology-based information retrieval model
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Ontology-Based Shopping Agent for E-Marketing
International Journal of Intelligent Information Technologies
Web 2.0 Based Intelligent Software Architecture for Photograph Sharing
International Journal of Intelligent Information Technologies
International Journal of Intelligent Information Technologies
Fostering Networked Business Operations: A Framework for B2B Electronic Intermediary Development
International Journal of Intelligent Information Technologies
Low Dimensional Data Privacy Preservation Using Multi Layer Artificial Neural Network
International Journal of Intelligent Information Technologies
Deontic Logic Based Ontology Alignment Technique for E-Learning
International Journal of Intelligent Information Technologies
Automatic Topic Ontology Construction Using Semantic Relations from WordNet and Wikipedia
International Journal of Intelligent Information Technologies
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Clustering is an important topic to find relevant content from a document collection and it also reduces the search space. The current clustering research emphasizes the development of a more efficient clustering method without considering the domain knowledge and user's need. In recent years the semantics of documents have been utilized in document clustering. The discussed work focuses on the clustering model where ontology approach is applied. The major challenge is to use the background knowledge in the similarity measure. This paper presents an ontology based annotation of documents and clustering system. The semi-automatic document annotation and concept weighting scheme is used to create an ontology based knowledge base. The Particle Swarm Optimization PSO clustering algorithm can be applied to obtain the clustering solution. The accuracy of clustering has been computed before and after combining ontology with Vector Space Model VSM. The proposed ontology based framework gives improved performance and better clustering compared to the traditional vector space model. The result using ontology was significant and promising.