A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
FOIS introduction: Ontology---towards a new synthesis
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
Proceedings of the 15th international conference on World Wide Web
WordNet Nouns: Classes and Instances
Computational Linguistics
Harvesting Wiki Consensus: Using Wikipedia Entries as Vocabulary for Knowledge Management
IEEE Internet Computing
Autonomously semantifying wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Automatically refining the wikipedia infobox ontology
Proceedings of the 17th international conference on World Wide Web
YAGO: A Large Ontology from Wikipedia and WordNet
Web Semantics: Science, Services and Agents on the World Wide Web
WikiTaxonomy: A Large Scale Knowledge Resource
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Deriving a large scale taxonomy from Wikipedia
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Decoding wikipedia categories for knowledge acquisition
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Knowledge derived from wikipedia for computing semantic relatedness
Journal of Artificial Intelligence Research
Distinguishing between instances and classes in the wikipedia taxonomy
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
A method for automatically extracting domain semantic networks from wikipedia
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
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The increasing need for ontologies and the difficulties of manual construction give place to initiatives proposing methods for automatic and semi-automatic ontology learning. In this work we present a semi-automatic method for domain ontologies extraction from Wikipedia's categories. In order to validate the method, we have conducted a case study in which we implemented a prototype generating a Tourism ontology. The results are evaluated against a manually built Golden Standard reporting 79.51% Precision and 91.95% Recall, comparable to those found in the literature for other languages.