Digital Infrastructures for Compliance Monitoring of Circular Economy: Requirements for Interoperable Data Spaces

The transition towards a circular economy (CE) will require data sharing across different platforms and data spaces of parties operating in a variety of supply chains. From a circular economy compliance monitoring perspective, beyond the access to mandatory data that governments will receive, authorities may benefit from accessing additional...

Innovative Data Analytics, Data Sources, and Architecture for European Customs Risk Management: D8.8 Policy, Research and Standardization Recommendations

https://cordis.europa.eu/project/id/786748/results<br/>https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5f1716216&amp;appId=PPGMS<br/>

Using Business Data in Customs Risk Management: Data Quality and Data Value Perspective

With the rise of data analytics use in government, government organizations are starting to explore the possibilities of using business data to create further public value. This process, however, is far from straightforward: key questions that governments need to address relate to the quality of this external data and the value it brings. In the...

SANOM-HOBBIT: Simulated annealing-based ontology matching on HOBBIT platform

Ontology alignment is an important and inescapable problem for the interconnections of two ontologies stating the same concepts. Ontology alignment evaluation initiative (OAEI) has been taken place for more than a decade to monitor and help the progress of the field and to compare systematically existing alignment systems. As of 2018, the...

Aligning stakeholder interests, governance requirements and blockchain design in business and government information sharing

Governance requirements for systems supporting information sharing be-tween businesses and government organisations (B&amp;G) are determined by a high variety of stakeholders with often conflicting interests. These conflict-ing interests can hamper the introduction and scaling-up of ICT-innovations that change their roles and authorities. We...

SANOM results for OAEI 2019

Simulated annealing-based ontology matching (SANOM) participates for the second time at the ontology alignment evaluation initiative (OAEI) 2019. This paper contains the configuration of SANOM and its results on the anatomy and conference tracks. In comparison to the OAEI 2017, SANOM has improved significantly, and its results are competitive...

Simulated Annealing-based Ontology Matching

Ontology alignment is a fundamental task to reconcile the heterogeneity among various information systems using distinct information sources. The evolutionary algorithms (EAs) have been already considered as the primary strategy to develop an ontology alignment system. However, such systems have two significant drawbacks: they either need a...

SANOM results for OAEI 2018

Simulated annealing-based ontology matching (SANOM) participates for the second time at the ontology alignment evaluation initiative (OAEI) 2018. This paper contains the configuration of SANOM and its results on the anatomy and conference tracks. In comparison to the OAEI 2017, SANOM has improved significantly, and its results are competitive...

Comparison of ontology alignment systems across single matching task via the McNemar's test

Ontology alignment is widely used to find the correspondences between different ontologies in diverse fields. After discovering the alignments, several performance scores are available to evaluate them. The scores typically require the identified alignment and a reference containing the underlying actual correspondences of the given...

A Comparative Study of Ontology Matching Systems via Inferential Statistics

Comparing ontology matching systems are typically performed by comparing their average performances over multiple datasets. However, this paper examines the alignment systems using statistical inference since averaging is statistically unsafe and inappropriate. The statistical tests for comparison of two or multiple alignment systems are...

A novel one-layer recurrent neural network for the l₁-regularized least square problem

The l₁-regularized least square problem has been considered in diverse fields. However, finding its solution is exacting as its objective function is not differentiable. In this paper, we propose a new one-layer neural network to find the optimal solution of the l₁-regularized least squares problem. To solve the problem,...

Ontology matching evaluation: A statistical perspective

This paper proposes statistical approaches to test if the difference between two ontology matchers is real. Specifically, the performances of the matchers over multiple data sets are obtained and based on their performances, the conclusion can be drawn whether one method is better than one another or not. To do so, the paired t-test and...