Web Data Quality: Current State and New Challenges

Amrapali Zaveri, Andrea Maurino and Laure-Berti Equille
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Amrapali Zaveri: Institüt für Informatik, Universität Leipzig, Leipzig, Germany
Andrea Maurino: Department of Computer Science, University of Milano Bicocca, Milano, Italy
Laure-Berti Equille: Qatar Computing Research Institute, Doha, Qatar

International Journal on Semantic Web and Information Systems (IJSWIS), 2014, vol. 10, issue 2, 1-6

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.

Date: 2014
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