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The role of metadata in reproducible computational research
Reproducible computational research (RCR) is the keystone of the scientific method for in
silico analyses, packaging the transformation of raw data to published results. In addition to …
silico analyses, packaging the transformation of raw data to published results. In addition to …
GERBIL: general entity annotator benchmarking framework
We present GERBIL, an evaluation framework for semantic entity annotation. The rationale
behind our framework is to provide developers, end users and researchers with easy-to-use …
behind our framework is to provide developers, end users and researchers with easy-to-use …
Gerbil–benchmarking named entity recognition and linking consistently
The ability to compare systems from the same domain is of central importance for their
introduction into complex applications. In the domains of named entity recognition and entity …
introduction into complex applications. In the domains of named entity recognition and entity …
Blockchain and OECD data repositories: opportunities and policymaking implications
MÁ Sicilia, A Visvizi - Library hi tech, 2019 - emerald.com
Purpose The purpose of this paper is to employ the case of Organization for Economic
Cooperation and Development (OECD) data repositories to examine the potential of …
Cooperation and Development (OECD) data repositories to examine the potential of …
[PDF][PDF] SAFE: Policy Aware SPARQL Query Federation Over RDF Data Cubes.
Several query federation engines have been proposed for accessing public Linked Open
Data sources. However, in many domains, resources are sensitive and access to these …
Data sources. However, in many domains, resources are sensitive and access to these …
Why good data analysts need to be critical synthesists. Determining the role of semantics in data analysis
S Scheider, FO Ostermann, B Adams - Future generation computer systems, 2017 - Elsevier
In this article, we critically examine the role of semantic technology in data driven analysis.
We explain why learning from data is more than just analyzing data, including also a number …
We explain why learning from data is more than just analyzing data, including also a number …
Luzzu--A Framework for Linked Data Quality Assessment
The increasing variety of Linked Data on the Web makes it challenging to determine the
quality of this data, and subsequently to make this information explicit to data consumers …
quality of this data, and subsequently to make this information explicit to data consumers …
Knowledge graphs: Research directions
A Hogan - Reasoning Web. Declarative Artificial Intelligence: 16th …, 2020 - Springer
In these lecture notes, we provide an overview of some of the high-level research directions
and open questions relating to knowledge graphs. We discuss six high-level concepts …
and open questions relating to knowledge graphs. We discuss six high-level concepts …
[HTML][HTML] On modeling linked open statistical data
A major part of Open Data concerns statistics such as economic and social indicators.
Statistical data are structured in a multidimensional manner creating data cubes. Recently …
Statistical data are structured in a multidimensional manner creating data cubes. Recently …
SPARTAN: Semantic integration of big spatio-temporal data from streaming and archival sources
GM Santipantakis, A Glenis, K Patroumpas… - Future Generation …, 2020 - Elsevier
An ever-increasing number of applications in critical domains, such as maritime and
aviation, generate, collect, manage and process spatio-temporal data related to the mobility …
aviation, generate, collect, manage and process spatio-temporal data related to the mobility …