Data Quality in the Semantic Web

2015 ◽  
pp. 69-77
Author(s):  
Christian Fürber
Keyword(s):  
Semantic Web ◽  
Data Quality

Web Data Quality

2014 ◽  
Vol 10 (2) ◽  
pp. 1-6 ◽  
Author(s):  
Amrapali Zaveri ◽  
Andrea Maurino ◽  
Laure-Berti Equille
Keyword(s):  
Semantic Web ◽  
Data Quality ◽  
Linked Data ◽  
Web Data ◽  
Semantic Web Technologies ◽  
Future Directions ◽  
Web Technologies ◽  
Current State ◽  
Web Of Data ◽  
The Web

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.

scholarly journals Connecting Semantic Situation Descriptions with Data Quality Evaluations—Towards a Framework of Automatic Thematic Map Evaluation

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 532
Author(s):  
Timo Homburg
Keyword(s):  
Semantic Web ◽  
Data Quality ◽  
Data Storage ◽  
Quality Metrics ◽  
Use Cases ◽  
Storage Element ◽  
Thematic Map ◽  
Data Quality Metrics ◽  
Map Data ◽  
Quality Assessments

A continuing question in the geospatial community is the evaluation of fitness for use of map data for a variety of use cases. While data quality metrics and dimensions have been discussed broadly in the geospatial community and have been modelled in semantic web vocabularies, an ontological connection between use cases and data quality expressions allowing reasoning approaches to determine the fitness for use of semantic web map data has not yet been approached. This publication introduces such an ontological model to represent and link situations with geospatial data quality metrics to evaluate thematic map contents. The ontology model constitutes the data storage element of a framework for use case based data quality assurance, which creates suggestions for data quality evaluations which are verified and improved upon by end-users. So-created requirement profiles are associated and shared to semantic web concepts and therefore contribute to a pool of linked data describing situation-based data quality assessments, which may be used by a variety of applications. The framework is tested using two test scenarios which are evaluated and discussed in a wider context.

Administering the Semantic Web

2011 ◽  
pp. 262-277
Author(s):  
Bhavani Thuraisingham ◽  
Natasha Tsybulnik ◽  
Ashraful Alam
Keyword(s):  
Information Processing ◽  
Semantic Web ◽  
Data Quality ◽  
Resource Description Framework ◽  
Web Pages ◽  
Markup Language ◽  
Language Resource ◽  
Extensible Markup ◽  
Description Framework ◽  
Resource Description

The Semantic Web is essentially a collection of technologies to support machine understandable Web pages as well as Information Interoperability. There has been much progress made on the Semantic Web including standards for eXtensible Markup Language, Resource Description Framework and Onotlogies. However, administration policies and techniques for enforcing them have received little attention. These policies include policies for security, privacy, data quality, integrity, trust and timely information processing. This chapter discusses administration policies for the Semantic Web as well as techniques for enforcing them. In particular, the authors will discuss an approach for ensuring confidentiality, privacy and trust for the Semantic Web. We will also discuss the inference and privacy problems within the context of administration policies.

Administering the Semantic Web

2008 ◽  
pp. 72-88
Author(s):  
Bhavani Thuraisingham ◽  
Natasha Tsybulnik ◽  
Ashraful Alam
Keyword(s):  
Information Processing ◽  
Semantic Web ◽  
Data Quality ◽  
Resource Description Framework ◽  
Web Pages ◽  
Markup Language ◽  
Language Resource ◽  
Extensible Markup ◽  
Description Framework ◽  
Resource Description

The Semantic Web is essentially a collection of technologies to support machine-understandable Web pages as well as Information Interoperability. There has been much progress made on the Semantic Web, including standards for eXtensible Markup Language, Resource Description Framework, and Ontologies. However, administration policies and techniques for enforcing them have received little attention. These policies include policies for security, privacy, data quality, integrity, trust, and timely information processing. This article discusses administration policies for the Semantic Web as well as techniques for enforcing them. In particular, we will discuss an approach for ensuring confidentiality, privacy, and trust for the Semantic Web. We will also discuss the inference and privacy problems within the context of administration policies.

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