Word sense disambiguation for free-text indexing using a massive semantic network
CIKM '93 Proceedings of the second international conference on Information and knowledge management
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
The Journal of Machine Learning Research
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Exploiting internal and external semantics for the clustering of short texts using world knowledge
Proceedings of the 18th ACM conference on Information and knowledge management
Large-scale taxonomy mapping for restructuring and integrating wikipedia
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
A WordNet-Based Semantic Model for Enhancing Text Clustering
ICDMW '09 Proceedings of the 2009 IEEE International Conference on Data Mining Workshops
Towards the automatic creation of a wordnet from a term-based lexical network
TextGraphs-5 Proceedings of the 2010 Workshop on Graph-based Methods for Natural Language Processing
Learning ontology resolution for document representation and its applications in text mining
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Automatic assignment of wikipedia encyclopedic entries to wordnet synsets
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
Towards an enhanced and adaptable ontology by distilling and assembling online encyclopedias
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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As a well-known semantic repository, WordNet is widely used in many applications. However, due to costly edit and maintenance, WordNet's capability of keeping up with the emergence of new concepts is poor compared with on-line encyclopedias such as Wikipedia. To keep WordNet current with folk wisdom, we propose a method to enhance WordNet automatically by merging Wikipedia entities into WordNet, and construct an enriched ontology, named as WorkiNet. WorkiNet keeps the desirable structure of WordNet. At the same time, it captures abundant information from Wikipedia. We also propose a learning approach which is able to generate a tailor-made semantic concept collection for a given document collection. The learning process takes the characteristics of the given document collection into consideration and the semantic concepts in the tailor-made collection can be used as new features for document representation. The experimental results show that the adaptively generated feature space can outperform a static one significantly in text mining tasks, and WorkiNet dominates WordNet most of the time due to its high coverage.