Web Data Quality: Current State and New Challenges

Amrapali Zaveri; Andrea Maurino; Laure-Berti Equille

doi:10.4018/ijswis.2014040101

Web Data Quality: Current State and New Challenges

Amrapali Zaveri^*, Andrea Maurino, Laure-Berti Equille

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	1-6
Journal	International Journal on Semantic Web and Information Systems
Volume	10
Issue number	2
DOIs	https://doi.org/10.4018/ijswis.2014040101
Publication status	Published - 2014
Externally published	Yes

Keywords

Adoption
Data Quality
Linked Data
Ontology Quality
Quality Assessment

Access to Document

10.4018/ijswis.2014040101

Cite this

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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.",

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KW - Adoption

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KW - Ontology Quality

KW - Quality Assessment

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