arrow
返回

Mapping RDF knowledge bases using exchange samples

delete2016-02-01
delete7
delete
OA
AI
C
Carlos R. Rivero *
I
Inma Hernández
D
David Ruiz
R
Rafael Corchuelo
DOI:10.1016/j.knosys.2015.11.001delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
Nowadays, the Web of Data is in its earliest stages; it is currently organised into a variety of linked knowledge bases that have been developed independently by different organisations. RDF is one of the most popular languages to represent data in this context, which motivates the need to perform complex integration tasks amongst RDF knowledge bases. These tasks are perforrned using schema mappings, which are declarative specifications of the relationships amongst a source and a target knowledge base. Generating schema mappings automatically is appealing because this relieves users from the burden of handcrafting them. In the literature, the vast majority of proposals are based on the data models of the knowledge bases to be integrated, that is, on classes, properties, and constraints. In the Web of Data, there exist many data models that comprise very few constraints or no constraints at all, which has motivated some researchers to work on an alternate paradigm that does not rely on constraints. Unfortunately, the current proposals that fit this paradigm are not completely automatic. In this article, we present our proposal to automatically generate schema mappings amongst RDF knowledge bases. Its salient features are that it uses a single input exchange sample and a set of input correspondences, but does not require any constraints to be available or any user intervention; it has been validated and evaluated using many experiments that prove that it is effective and efficient in practice; the schema mappings that it produces are GLAV. Other researchers can reproduce our experiments since all of our implementations and repositories are publicly available. (c) 2015 Elsevier B.V. All rights reserved.
Keyword:
Web of Data
RDF
Schema mapping
Data exchange
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

K
Knowledge-Based Systems
IF:
7.6
论文数:
1.3W
被引数:
4.5W

机构

R
Rochester Institute of Technology
学者数:
3.8K
论文数: 3.3K
被引数: 45
U
University of Rochester
学者数:
2.6W
论文数: 2.1W
被引数: 2.2W
引用论文

引用论文

err分享
err收藏
MostoDEx: A tool to exchange RDF data using exchange samples
err2015-02-01
err4
errOAAI
errRivero, Carlos R.; Hernandez, Inma; Ruiz, David; Corchuelo, Rafael
err分享
err收藏
err分享
err收藏
OLAP query reformulation in peer-to-peer data warehousing
err2012-07-01
err22
PREAI
errGolfarelli, M.; Mandreoli, F.; Penzo, W.; Rizzi, S.; Turricchia, E.
err分享
err收藏
Results of a phase II randomized trial of cisplatin +/- veliparib in metastatic triple-negative breast cancer (TNBC) and/or germline BRCA-associated breast cancer (SWOG S1416).
err2020-05-20
err0
PREAI
errPriyanka Sharma; Eve Rodler; William E. Barlow; Julie Gralow; Shannon Leigh Huggins-Puhalla; Carey K. Anders; Lori J. Goldstein; Ursa Abigail Brown-Glaberman; Thu-Tam Huynh; Christopher Scott Szyarto; Andrew K. Godwin; Harsh B Pathak; Elizabeth M. Swisher; Marc R Radke; Kirsten M Timms; Danika L. Lew; Jieling Miao; Lajos Pusztai; Daniel F. Hayes; Gabriel N. Hortobagyi
err分享
err收藏
学者 查看更多内容