کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10358799 868639 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Terminological ontology learning and population using latent Dirichlet allocation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Terminological ontology learning and population using latent Dirichlet allocation
چکیده انگلیسی
The success of Semantic Web will heavily rely on the availability of formal ontologies to structure machine understanding data. However, there is still a lack of general methodologies for ontology automatic learning and population, i.e. the generation of domain ontologies from various kinds of resources by applying natural language processing and machine learning techniques In this paper, the authors present an ontology learning and population system that combines both statistical and semantic methodologies. Several experiments have been carried out, demonstrating the effectiveness of the proposed approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Languages & Computing - Volume 25, Issue 6, December 2014, Pages 818-826
نویسندگان
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