A semantic approach for timeseries data fusion

Samourkasidis, Argyrios; Athanasiadis, Ioannis N.

doi:10.1016/j.compag.2019.105171

Cited by 5 publications

(1 citation statement)

References 31 publications

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“…The metadata system is not new with respect to the microservice-oriented approach but needs to be adapted for it. Interfaces can be used to query metadata of individual data sources and store the metadata in the data source catalog [13]. Interface documentation can also supplement the data source catalog.…”

Section: Microservice-oriented Data Integrationmentioning

confidence: 99%

Decentralized and Microservice-Oriented Data Integration for External Data Sources

Schröer

Frischkorn

2021

Lecture Notes in Information Systems and Organisation

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Data lakes offer good opportunities to centrally use heterogeneous data for analytical questions in companies. However, there are also challenges and risks regarding missing reference architectures, accessibility or usability. By using modern architecture patterns such as microservices, data can alternatively be managed in a technically and organizationally decentralized manner. Easily accessible interfaces and microservice architecture patterns can maintain important data lake characteristics, such as accessibility and the provision of metadata. Thus, costs can be saved, data can be held accountable in the respective domains, and at the same time interfaces for analytical questions can be provided. The paper illustrates the idea in the form of a work-in-progress paper using the integration of external data sources as an example.

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Section: Microservice-oriented Data Integrationmentioning

confidence: 99%

Decentralized and Microservice-Oriented Data Integration for External Data Sources

Schröer

Frischkorn

2021

Lecture Notes in Information Systems and Organisation

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Performance Study of Data Fusion Using Kalman Filter and Learning Vector Quantization

Shobha¹,

Nalini²

2022

Lecture Notes in Networks and Systems

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Reuse of process-based models: automatic transformation into many programming languages and simulation platforms

et al. 2020

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The diversity of plant and crop process-based modeling platforms in terms of implementation language, software design, and architectural constraints limits the reusability of the model components outside the platform in which they were originally developed, making model reuse a persistent issue. To facilitate the intercomparison and improvement of process-based models and the exchange of model components, several groups in the field joined to create the Agricultural Model Exchange Initiative (AMEI). AMEI proposes a centralized framework for exchanging and reusing model components. It provides a modular and declarative approach to describe the specification of unit models and their composition. A model algorithm is associated with each model specification, which implements its mathematical behavior. This paper focuses on the expression of the model algorithm independently of the platform specificities, and how the model algorithm can be seamlessly integrated into different platforms. We define CyML, a Cython-derived language with minimum specifications to implement model component algorithms. We also propose CyMLT, an extensible source-to-source transformation system that transforms CyML source code into different target languages such as Fortran, C#, C++, Java and Python, and into different programming paradigms. CyMLT is also able to generate model components to target modeling platforms such as DSSAT, BioMA, Record, SIMPLACE and OpenAlea. We demonstrate our reuse approach with a simple unit model and the capacity to extend CyMLT with other languages and platforms. The approach we present here will help to improve the reproducibility, exchange and reuse of process-based models.

show abstract

A semantic approach for timeseries data fusion

Cited by 5 publications

References 31 publications

Decentralized and Microservice-Oriented Data Integration for External Data Sources

Decentralized and Microservice-Oriented Data Integration for External Data Sources

Performance Study of Data Fusion Using Kalman Filter and Learning Vector Quantization

Reuse of process-based models: automatic transformation into many programming languages and simulation platforms

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