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Luzzu Quality Metric Language - A DSL for Linked Data Quality Assessment.
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TLDR
A novel ontology that enables the reuse, sharing and querying of data quality metrics and a process to assess datasets based on these definitions is described, and the proposed DSL is evaluated against the cognitive dimensions of notation framework.Abstract:
The steadily growing number of linked open datasets brought about a number of reservations amongst data consumers with regard to the datasets' quality. Quality assessment requires significant effort and consideration, including the definition of data quality metrics and a process to assess datasets based on these definitions. Luzzu is a quality assessment framework for linked data that allows domain-specific metrics to be plugged in. LQML offers notations, abstractions and expressive power, focusing on the representation of quality metrics. It provides expressive power for defining sophisticated quality metrics. Its integration with Luzzu enables their efficient processing and execution and thus the comprehensive assessment of extremely large datasets in a streaming way. We also describe a novel ontology that enables the reuse, sharing and querying of such definitions. Finally, we evaluate the proposed DSL against the cognitive dimensions of notation framework.read more
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Proceedings ArticleDOI
Luzzu -- A Framework for Linked Data Quality Assessment
TL;DR: Luzzu as discussed by the authors is a framework for Linked Data Quality Assessment based on an extensible interface for defining new quality metrics, an interoperable, ontology-driven back-end for representing quality metadata and quality problems that can be reused within different semantic frameworks, and a scalable stream processor for data dumps and SPARQL endpoints.
Journal ArticleDOI
Quantifying the Connectivity of a Semantic Warehouse and Understanding its Evolution over Time
TL;DR: The authors introduce various metrics (or measures) for quantifying its connectivity, and consequently its ability to answer complex queries, and show how they can be used for monitoring a semantic warehouse after each reconstruction reducing thereby the cost of quality checking, as well as for understanding its evolution over time.
Proceedings ArticleDOI
Assessing the Quality of Domain Concepts Descriptions in DBpedia
TL;DR: The quality of the description of domain concepts in DBpedia is evaluated and it is shown that DBpedia models very poorly these sample domain concepts at the instance level and schema level, and very few domain predicates are used in the descriptionof domain concepts.
VoCol: An Agile Methodology and Environment for Collaborative Vocabulary Development
TL;DR: Inspired by agile software and content development methodologies, the VoCol methodology is defined and a prototype based on a loose coupling of validation and documentation generation components on top of a standard Git repository is implemented.
Proceedings ArticleDOI
On-The-Fly Academic Linked Data Integration
TL;DR: A LOD integration framework that works on integrating academic LOD datasets that reside in different LOD repositories with intrinsic schema and vocabularies heterogeneity is proposed, and an automatic mapping technique in the integration processes is proposed.
References
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Journal ArticleDOI
When and how to develop domain-specific languages
TL;DR: In this article, the authors identify patterns in the decision, analysis, design, and implementation phases of DSL development and discuss domain analysis tools and language development systems that may help to speed up DSL development.
Journal ArticleDOI
Domain-specific languages: an annotated bibliography
TL;DR: The literature available on the topic of domain-specific languages as used for the construction and maintenance of software systems is surveyed, and a selection of 75 key publications in the area is listed.
Book
Juran's Quality Control Handbook
TL;DR: The third edition of the book has been updated to give managers the know-how they need to manage for quality through the next decade as discussed by the authors, which is the finest book on quality ever written.
Book
Domain-specific languages
TL;DR: This book covers a variety of different techniques available for DSLs and can be used with whatever programming language you happen to be using, most of the examples are in Java or C#.
Journal ArticleDOI
Domain Specific Languages
Aruna Raja,Devika Lakshmanan +1 more
TL;DR: A number of DSLs spanning various phases of software development life cycle in terms of features that elucidates their advantages over general purpose languages and perform in depth study by practically applying a few open source DSLs: ‘Cascading’, Naked Objects Framework and RSpec.