Automated construction of domain ontology taxonomies from wikipedia
|Automated construction of domain ontology taxonomies from wikipedia|
|Author(s)||Juric D., Banek M., Skocir Z.|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||Unknown (Extra: Automated construction, Construction algorithms, Domain knowledge, Domain ontologies, High precision, Linguistic parsing, Subsumption relation, Unsupervised method, Wikipedia, Expert systems, Semantic Web, Taxonomies, User interfaces, Ontology)|
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Automated construction of domain ontology taxonomies from wikipedia is a 2011 conference paper written in English by Juric D., Banek M., Skocir Z. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
The key step for implementing the idea of the Semantic Web into a feasible system is providing a variety of domain ontologies that are constructed on demand, in an automated manner and in a very short time. In this paper we introduce an unsupervised method for constructing domain ontology taxonomies from Wikipedia. The benefit of using Wikipedia as the source is twofold: first, the Wikipedia articles are concise and have a particularly high "density"of domain knowledge; second, the articles represent a consensus of a large community, thus avoiding term disagreements and misinterpretations. The taxonomy construction algorithm, aimed at finding the subsumption relation, is based on two different techniques, which both apply linguistic parsing: analyzing the first sentence of each Wikipedia article and processing the categories associated with the article. The method has been evaluated against human judgment for two independent domains and the experimental results have proven its robustness and high precision.
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