Knowledge graph quality management: a comprehensive survey
As a powerful expression of human knowledge in a structural form, knowledge graph (KG)
has drawn great attention from both the academia and the industry and a large number of …
has drawn great attention from both the academia and the industry and a large number of …
Large-scale semantic integration of linked data: A survey
A large number of published datasets (or sources) that follow Linked Data principles is
currently available and this number grows rapidly. However, the major target of Linked Data …
currently available and this number grows rapidly. However, the major target of Linked Data …
[PDF][PDF] Data quality considerations for big data and machine learning: Going beyond data cleaning and transformations
Data quality issues trace back their origin to the early days of computing. A wide range of
domainspecific techniques to assess and improve the quality of data exist in the literature …
domainspecific techniques to assess and improve the quality of data exist in the literature …
[كتاب][B] Knowledge graphs
Smart speakers such as Alexa and Google Home introduced Artificial Intelligence (AI) in
millions soon billions of households, making AI an everyday experience. We can now look …
millions soon billions of households, making AI an everyday experience. We can now look …
Linked data quality of dbpedia, freebase, opencyc, wikidata, and yago
In recent years, several noteworthy large, cross-domain, and openly available knowledge
graphs (KGs) have been created. These include DBpedia, Freebase, OpenCyc, Wikidata …
graphs (KGs) have been created. These include DBpedia, Freebase, OpenCyc, Wikidata …
Linked Open Vocabularies (LOV): a gateway to reusable semantic vocabularies on the Web
One of the major barriers to the deployment of Linked Data is the difficulty that data
publishers have in determining which vocabularies to use to describe the semantics of data …
publishers have in determining which vocabularies to use to describe the semantics of data …
Quality assessment for linked 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 Linked Data (LD). However …
unprecedented volume of data being published on the Web as Linked Data (LD). However …
The international data spaces information model–an ontology for sovereign exchange of digital content
Abstract The International Data Spaces initiative (IDS) is building an ecosystem to facilitate
data exchange in a secure, trusted, and semantically interoperable way. It aims at providing …
data exchange in a secure, trusted, and semantically interoperable way. It aims at providing …
Shape expressions: an RDF validation and transformation language
RDF is a graph based data model which is widely used for semantic web and linked data
applications. In this paper we describe a Shape Expression definition language which …
applications. In this paper we describe a Shape Expression definition language which …
[كتاب][B] Validating RDF data
JEL Gayo, E Prud'Hommeaux, I Boneva, D Kontokostas - 2017 - books.google.com
RDF and Linked Data have broad applicability across many fields, from aircraft
manufacturing to zoology. Requirements for detecting bad data differ across communities …
manufacturing to zoology. Requirements for detecting bad data differ across communities …