[HTML][HTML] Operationalizing a concept: The systematic review of composite indicator building for measuring community disaster resilience
The measurement of community disaster resilience through the development of a
comprehensive set of composite indicators is becoming increasingly commonplace. Despite …
comprehensive set of composite indicators is becoming increasingly commonplace. Despite …
[HTML][HTML] Knowledge graph quality control: A survey
A knowledge graph (KG), a special form of semantic network, integrates fragmentary data
into a graph to support knowledge processing and reasoning. KG quality control is important …
into a graph to support knowledge processing and reasoning. KG quality control is important …
Knowledge graph refinement: A survey of approaches and evaluation methods
In the recent years, different Web knowledge graphs, both free and commercial, have been
created. While Google coined the term “Knowledge Graph” in 2012, there are also a few …
created. While Google coined the term “Knowledge Graph” in 2012, there are also a few …
Test-driven evaluation of linked data quality
Linked Open Data (LOD) comprises an unprecedented volume of structured data on the
Web. However, these datasets are of varying quality ranging from extensively curated …
Web. However, these datasets are of varying quality ranging from extensively curated …
Introduction to linked data and its lifecycle on the web
Abstract With Linked Data, a very pragmatic approach towards achieving the vision of the
Semantic Web has gained some traction in the last years. The term Linked Data refers to a …
Semantic Web has gained some traction in the last years. The term Linked Data refers to a …
Crowdsourcing 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 …
quality problems that are challenging to be solved automatically. We analyzed the most …
User-driven quality evaluation of DBpedia
Linked Open Data (LOD) comprises of an unprecedented volume of structured datasets on
the Web. However, these datasets are of varying quality ranging from extensively curated …
the Web. However, these datasets are of varying quality ranging from extensively curated …
[HTML][HTML] Feature/vector entity retrieval and disambiguation techniques to create a supervised and unsupervised semantic table interpretation approach
Recently, there has been an increasing interest in extracting and annotating tables on the
Web. This activity allows the transformation of textual data into machine-readable formats to …
Web. This activity allows the transformation of textual data into machine-readable formats to …
Data quality challenges and future research directions in threat intelligence sharing practice
In the last couple of years, organizations have demonstrated an increased willingness to
participate in threat intelligence sharing platforms. The open exchange of information and …
participate in threat intelligence sharing platforms. The open exchange of information and …
Open government data: usage trends and metadata quality
Open Government Data (OGD) have the potential to support social and economic progress.
However, this potential can be frustrated if these data remain unused. Although the literature …
However, this potential can be frustrated if these data remain unused. Although the literature …