Untitled Document
4th Workshop on Linked Data Quality (LDQ2017)
May 28-29, 2017, Portoroz, Slovenia
Call for Papers :
In recent years, the Linked Data paradigm has emerged as a simple mechanism for employing the Web for data and knowledge integration, which allows the publication and exchange of information in an interoperable way. This is confirmed by the growth of Linked Data on the Web, where currently more than 10,000 datasets are provided. However, one crippling problem is the data quality. Inaccurate, inconsistent or incomplete data strongly affect the results, leading to unreliable conclusions
Topic of Interest :
Concepts
- Quality modeling vocabularies, such as W3C’s DQV
Quality assessment
- Methodologies
- Frameworks for quality testing and evaluation
- Inconsistency detection
- Tools/Data validators
- Constraint languages and rules, such as SHACL, SPIN
- Crowdsourcing data quality assessment
- Quality assessment leveraging background knowledge
- Assessing the quality evolution of Semantic Web Assets (Data, Services & Systems)
Quality improvement
- Refinement techniques for Linked Datasets
- Methods and frameworks, e.g., linkage, alignment, cleaning, enrichment, correctness
- Service/system quality improvement methods and frameworks
- Error correction
- Tools
Quality management
- Methodologies and frameworks to plan, control, assure or improve the quality of Semantic Web Assets
- Quality exploration and analysis interfaces
- Quality monitoring
- Developing, deploying and managing quality service ecosystems
- Use-case driven quality management
- Web Data and LOD quality benchmarks
- Managing sustainability issues in services
- Guarantee of service (availability, performance)
- Systems for transparent management of open data
Other
- Quality of ontologies
- Reputation and trustworthiness of Web resources
Important Dates :
- Submission of papers : March 3, 2017
- Notification of paper acceptance : March 31, 2017
- Submission of camera-ready papers: April 13, 2017
- Workshop date : May 28-29, 2017
User Name : jerish
Posted 24-01-2017 on 10:02:50 AEDT
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