Linkage Quality Assessment for Anonymously linked Administrative Data.
نویسندگان
چکیده
منابع مشابه
Methodology for Assessment of Linked Data Quality
With the expansion in the amount of data being produced as Linked Data (LD), the opportunity to build use cases has also increased. However, a crippling problem to the reliability of these use cases is the underlying poor data quality. Moreover, the ability to assess the quality of the consumed LD, based on the satisfaction of the consumers’ quality requirements, significantly influences usabil...
متن کاملCrowdsourcing Linked Data Quality Assessment
In this paper we look into the use of crowdsourcing as a means to handle Linked Data quality problems that are challenging to be solved automatically. We analyzed the most common errors encountered in Linked Data sources and classified them according to the extent to which they are likely to be amenable to a specific form of crowdsourcing. Based on this analysis, we implemented a quality assess...
متن کاملLinked Data Quality Assessment through Network Analysis
Linked Data is at its core about the setting of links between resources. Links provide enriched semantics, pointers to extra information and enable the merging of data sets. However, as the amount of Linked Data has grown, there has been the need to automate the creation of links and such automated approaches can create low-quality links or unsuitable network structures. In particular, it is di...
متن کاملQuality Assessment for Linked Open Data: A Survey
The development and standardization of semantic web technologies has resulted in an unprecedented volume of data being published on the Web as Linking Open Data (LOD). However, we observe widely varying data quality ranging from extensively curated datasets to crowdsourced and extracted data of relatively low quality. Data quality is commonly conceived as fitness for use. In this article, we pr...
متن کاملA Linked Data Profiling Service for Quality Assessment
The Linked (Open) Data cloud has been growing at a rapid rate in recent years. However, the large variance of quality in datasets is a key obstacle that hinders their use, so quality assessment has become an important aspect. Data profiling is one of the widely used techniques for data quality assessment in domains such as relational data; nevertheless, it is not so widely used in Linked Data. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Population Data Science
سال: 2018
ISSN: 2399-4908
DOI: 10.23889/ijpds.v3i4.679