Paper Info
Title
Web Data Quality: Current State and New Challenges
Abstract
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.
Year
DOI
Venue
2014
10.4018/ijswis.2014040101
International Journal on Semantic Web & Information Systems
Keywords
Field
DocType
quality assessment,linked data,adoption,data quality,ontology quality
Publication,Information system,Data mining,World Wide Web,Web intelligence,Data quality,Computer science,Web standards,Linked data,Semantic Web,Standardization
Journal
Volume
Issue
ISSN
10
2
1552-6283
Citations 
PageRank 
References 
0
0.34
16
Authors
3
Name
Order
Citations
PageRank
Amrapali Zaveri136824.37
Andrea Maurino273653.87
Laure-Berti Equille300.34