2011 OntologyEnhancementandConceptGr

• (Jiang et al., 2011) ⇒ Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, and Wai Lam. (2011). “Ontology Enhancement and Concept Granularity Learning: Keeping Yourself Current and Adaptive.” In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011) Journal. ISBN:978-1-4503-0813-7 doi:10.1145/2020408.2020597

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222011%22+Ontology+Enhancement+and+Concept+Granularity+Learning%3A+Keeping+Yourself+Current+and+Adaptive
• http://dl.acm.org/citation.cfm?id=2020408.2020597&preflayout=flat#citedby

Quotes

Author Keywords

• Algorithms; design; dictionaries; experimentation; feature evaluation and selection; ontology; performance; tailor-made concept representation learning; thesauruses; workinet

Abstract

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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 OntologyEnhancementandConceptGr	Wai Lam Shan Jiang Lidong Bing Bai Sun Yan Zhang			Ontology Enhancement and Concept Granularity Learning: Keeping Yourself Current and Adaptive				10.1145/2020408.2020597		2011