Semantic reconciliation is an important step in determining logical connectivity between a data source (database) and a data receiver (application). Semantic reconciliation is used to determine if the semantics of the data provided by the source is meaningful to the receiver. In this paper we describe a rule-based approach to semantic specification and demonstrate how this specification can be ...

With this paper we adapt the fundamental framework of data reconciliation for bilinear steady-state systems to solve the problem of fault detection and diagnosis in the context of full-scale wastewater treatment plants (WWTPs). The usefulness of this framework is illustrated using the BSM1_LT simulation platform to detect and identify faults in flow and TSS sensors. The results show that data r...

Data reconciliation is a well-known method in on-line process control engineering aimed at estimating the true values of corrupted measurements under constraints. An adaptive nonlinear dynamic data reconciliation (ANDDR) method is proposed that includes the application to processes with an unknown statistical model. ANDDR enables gross error detection (GED) as well. Finally, a novel smart track...

We propose a view on a data-processing application as a typed streaming network. The arcs of the network represent recordvalued data streams and the nodes encapsulate recurrence relations on them. We propose a type system in which both the arcs and the nodes are statically subtyped, with the overall subtyping consistency of the network assured by type reconciliation algorithms. The proposed typ...

This paper investigates an efficient and practical information reconciliation method in the case where two parties have access to correlated continuous random variables. We show that reconciliation is a special case of channel coding and that existing coded modulation techniques can be adapted for reconciliation. We describe an explicit reconciliation method based on LDPC codes in the case of c...

This paper presents a research-in-progress report on a method for data consistency support in ad-hoc mobile distributed systems. The method is based on a concept of high-level operations “compatibility” and operation history reconciliation with compensations. The described approach is not bound to any particular data storage or communication technology, but in this paper we use tuple spaces as ...

Improving the accuracy of the measurements in building automation systems without increasing operational costs is an essential step if the overall comfort and energy efficiency of buildings are to be improved. Data reconciliation and gross error elimination have emerged as key techniques for reducing both random noise and gross errors on the outputs of sensors. This paper focuses on using actua...

Rare earth elements (REEs) are essential for high-techology industrial sectors. This paper presents research on material flow analysis (MFA) applied to REEs in the EU-27. Innovative aspects of this research pertain to (i) considering potential lithospheric stocks of REEs in the EU and (ii) accounting for incomplete and imprecise information in MFA data reconciliation. Results obtained to-date p...

Political reconciliation involves the repairing of damaged political relationships. This paper considers the possibility and moral justifiability of pursuing political reconciliation in the aftermath of systematic and egregious wrongdoing, in particular genocide. The first two sections discuss what political reconciliation specifically requires. I argue that it neither entails nor necessitates ...

This article argues that the post-conflict reconciliation process is undermined by the importance given to the retributive form of justice dominating peacebuilding and transitional justice measures. Retributive justice reinforces the division between perpetrator and victim, thus undermining the reconciliation process between antagonistic parties. The so-called objective categories of perpetrato...