Web Data Quality: Current State and New Challenges

被引：10

作者：

Zaveri, Amrapali ^{[1
]}

Maurino, Andrea ^{[2
]}

Equille, Laure-Berti ^{[3
]}

机构：

[1] Univ Leipzig, Inst Informat, D-04109 Leipzig, Germany

[2] Univ Milano Bicocca, Dept Comp Sci, Milan, Italy

[3] Qatar Comp Res Inst, Doha, Qatar

来源：

INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS | 2014年 / 10卷 / 02期

关键词：

Adoption; Data Quality; Linked Data; Ontology Quality; Quality Assessment;

D O I：

10.4018/ijswis.2014040101

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The standardization and adoption of Semantic Web technologies has resulted in an unprecedented volume of data being published as Linked Data (LD). However, the "publish first, refine later" philosophy leads to various quality problems arising in the underlying data such as incompleteness, inconsistency and semantic ambiguities. In this article, we describe the current state of Data Quality in the Web of Data along with details of the three papers accepted for the International Journal on Semantic Web and Information Systems' (IJSWIS) Special Issue on Web Data Quality. Additionally, we identify new challenges that are specific to the Web of Data and provide insights into the current progress and future directions for each of those challenges.

引用

页码：1 / 6

页数：6

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