کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
393794 | 665686 | 2012 | 17 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Formal context coverage based on isolated labels: An efficient solution for text feature extraction Formal context coverage based on isolated labels: An efficient solution for text feature extraction](/preview/png/393794.png)
Different available data as images, texts, or database may be mapped into an equivalent or approximate binary relation. A text may be considered as a binary relation relating sentences to words, while a numerical table may be represented by a binary relation after using some scaling approach. A social network may be also represented by a formal context. The objective of this paper is to present an original approach for covering a binary relation by formal concepts based on isolated single or multiple properties, i.e., those belonging to only one concept. As a matter of fact, isolated properties are efficiently used for discriminating and labeling concepts. The latter are used for browsing in a corpora, or in a document by navigating through associated labels. By using fringe relations, the presented approach compared to those of the literature has the advantage of offering a relevant feature of a context by significant labels. Carried out experiments show the benefits of the introduced approach.
Journal: Information Sciences - Volume 188, 1 April 2012, Pages 198–214