کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
865344 | 1470866 | 2010 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A Novel Ranking Framework for Linked Data from Relational Databases
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A Novel Ranking Framework for Linked Data from Relational Databases A Novel Ranking Framework for Linked Data from Relational Databases](/preview/png/865344.png)
چکیده انگلیسی
This paper investigates the problem of ranking linked data from relational databases using a ranking framework. The core idea is to group relationships by their types, then rank the types, and finally rank the instances attached to each type. The ranking criteria for each step considers the mapping rules and heterogeneous graph structure of the data web. Tests based on a social network dataset show that the linked data ranking is effective and easier for people to understand. This approach benefits from utilizing relationships deduced from mapping rules based on table schemas and distinguishing the relationship types, which results in better ranking and visualization of the linked data.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Tsinghua Science & Technology - Volume 15, Issue 6, December 2010, Pages 642-649
Journal: Tsinghua Science & Technology - Volume 15, Issue 6, December 2010, Pages 642-649
نویسندگان
Zhang (å¼ é), Ma (马æ¥å¨¥), Zhao (èµµæ¨å©·), Zhang (å¼ å), Yi (æ å), Mao (æ¯æ°ç),