کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10321274 | 659315 | 2005 | 25 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Clustering documents into a web directory for bootstrapping a supervised classification
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
This paper proposes some solutions for the bootstrapping problem, that implicitly or explicitly use taxonomy definition: a baseline approach that classifies documents according to the class terms, and two clustering approaches, whose training is constrained by the a priori knowledge encoded in the taxonomy structure, which consists of both terminological and relational aspects. In particular, we propose the TaxSOM model, that clusters a set of documents in a predefined hierarchy of classes, directly exploiting the knowledge of both their topological organization and their lexical description. Experimental evaluation was performed on a set of taxonomies taken from the Google⢠and LookSmart⢠web directories, obtaining good results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Data & Knowledge Engineering - Volume 54, Issue 3, September 2005, Pages 301-325
Journal: Data & Knowledge Engineering - Volume 54, Issue 3, September 2005, Pages 301-325
نویسندگان
Giordano Adami, Paolo Avesani, Diego Sona,