Evaluating of Word Embeddings Hyper-parameters of the Master Data in Russian-Language Information Systems

2020 ◽  
pp. 64-75
Author(s):  
Dudnikov Sergey ◽  
Mikheev Petr ◽  
Grinkina Tatyana
Keyword(s):  
Information Systems ◽  
Russian Language ◽  
Word Embeddings ◽  
Master Data

Urban Master Data Management

2017 ◽  
pp. 441-465
Author(s):  
Adolphe Ayissi Eteme ◽  
Justin Moskolai Ngossaha
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Data Management ◽  
Data Repository ◽  
Distributed Data ◽  
Data Systems ◽  
Policy Makers ◽  
Master Data ◽  
Master Data Management

The use of information technology in council management has resulted in the generation of a large amount of data through various autonomous urban bodies. The relevant bodies barely or never reuse such locally-generated data. This may be due particularly to managers', policy makers' and users' lack of awareness of existing information. The Platform for the Integration and Interoperability of the Yaounde Urban Information Systems (YUSIIP) project seeks to reduce this deficit by establishing a federated operational platform of heterogeneous and distributed data systems based on a distributed data repository. The position developed in this paper is that Master Data Management (MDM) will contribute to achieving this objective in a context marked by the dispersion and duplication of data and diversity of information systems.

Message-Based Approach to Master Data Synchronization among Autonomous Information Systems

2010 ◽  
Vol 6 (3) ◽  
pp. 33-47
Author(s):  
Dongjin Yu
Keyword(s):  
Information Systems ◽  
Large Scale ◽  
Data Sources ◽  
Data Synchronization ◽  
Real Case ◽  
Data Service ◽  
The Real ◽  
Master Data ◽  
Current Value ◽  
Traditional Approaches

The evolution of networks and large scale information systems has led to the rise of data sources that are distributed, heterogeneous, and autonomous. As a result, the management of Master Data becomes more complex and of uncertain quality. This paper presents a novel message-based approach to the synchronization of Master Data among multiple autonomous information systems. Different than traditional approaches based on database triggers, the author adopts the optimistic bidirectional strategy with the process of two synchronization phases. By means of data service buses, it propagates synchronized Master Data through messages being passed along star-like cascading routes. Moreover, this approach could resolve possible data conflicts automatically using predefined attribute confidences and deducible current value confidences respectively. Finally, this paper presents the real case about synchronizing datasets among four separate but related systems based on the author’s novel message-based approach.

Message-Based Approach to Master Data Synchronization among Autonomous Information Systems

2012 ◽  
pp. 194-209
Author(s):  
Dongjin Yu
Keyword(s):  
Information Systems ◽  
Large Scale ◽  
Data Sources ◽  
Data Synchronization ◽  
Real Case ◽  
Data Service ◽  
The Real ◽  
Master Data ◽  
Current Value ◽  
Traditional Approaches

The evolution of networks and large scale information systems has led to the rise of data sources that are distributed, heterogeneous, and autonomous. As a result, the management of Master Data becomes more complex and of uncertain quality. This paper presents a novel message-based approach to the synchronization of Master Data among multiple autonomous information systems. Different than traditional approaches based on database triggers, the author adopts the optimistic bidirectional strategy with the process of two synchronization phases. By means of data service buses, it propagates synchronized Master Data through messages being passed along star-like cascading routes. Moreover, this approach could resolve possible data conflicts automatically using predefined attribute confidences and deducible current value confidences respectively. Finally, this paper presents the real case about synchronizing datasets among four separate but related systems based on the author’s novel message-based approach.

Master Data-Supply Chain Management, the Key Lever for Collaborative and Compliant Partnerships in Big Data Era

2021 ◽  
pp. 72-101
Author(s):  
Samia Chehbi Gamoura ◽  
Manisha Malhotra
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Information Systems ◽  
Data Governance ◽  
Traditional Management ◽  
Logistics Networks ◽  
Master Data ◽  
Hands On ◽  
Master Data Management

With the advent of big data in supply chain information systems (SCIS), data compliance and consistency are becoming vital. Today, SC stakeholders need to pay more attention to data governance, which requires changing traditional management methods. These can be achieved by mastering a single repository through what is usually named master data management (MDM). However, accomplishing this objective is particularly challenging in the complex logistics networks of supply chains (SC). The volatile nature of the logistics flows that increase exponentially because of the facilitation of exchanges' interoperability in the information systems. In this chapter, the authors propose an MDM-based framework for the supply chain information systems as an enabler for strong collaboration and compliance. For proof of concept, a case study of a French hypermarket is examined through benchmarking scenarios. The outcomes of the case validate our approach as a hands-on solution when applied correctly. Finally, the chapter discusses the key findings and the limitations of our framework.

scholarly journals National Corpus of the Russian Language (NCRL) in literary studies: practical application

2020 ◽  
Vol 99 (3) ◽  
pp. 73-83
Author(s):  
L.E. Tokatova ◽  
◽  
E.A. Belousova
Keyword(s):  
Information Systems ◽  
Literary Text ◽  
Russian Language ◽  
Literary Texts ◽  
Literary Studies ◽  
Practical Application ◽  
Different Types ◽  
The Given ◽  
The Russian Language ◽  
National Corpus

Nowadays the analysis of literary text goes beyond its linear perusal, it requires its structural comprehension, correlation of primary and scientific interpretation. Modern automated information systems suggest wide opportunities for getting original scientific material. The article attempts to analyze the story «Crank» («Chudik») by V.M. Shuckshin in comparison with the writer’s other works by using the NCRL instrument. The notion «National Corpus of the Russian Language» is discovered as well as its purpose. While analyzing the composition, the following levels of analyses were taken into account — the text title and character’s names (their expressions), concepts, details, characteristics of literary world, intertextuality. The results of the given literary studies with NCRL can be later applied at Literature lessons at school and for different types of literary texts analyses

Urban Master Data Management

2018 ◽  
pp. 154-178
Author(s):  
Adolphe Ayissi Eteme ◽  
Justin Moskolai Ngossaha
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Data Management ◽  
Data Repository ◽  
Distributed Data ◽  
Data Systems ◽  
Policy Makers ◽  
Master Data ◽  
Master Data Management

The use of information technology in council management has resulted in the generation of a large amount of data through various autonomous urban bodies. The relevant bodies barely or never reuse such locally-generated data. This may be due particularly to managers', policy makers' and users' lack of awareness of existing information. The Platform for the Integration and Interoperability of the Yaounde Urban Information Systems (YUSIIP) project seeks to reduce this deficit by establishing a federated operational platform of heterogeneous and distributed data systems based on a distributed data repository. The position developed in this paper is that Master Data Management (MDM) will contribute to achieving this objective in a context marked by the dispersion and duplication of data and diversity of information systems.

TAXONOMY ENRICHMENT FOR RUSSIAN: SYNSET CLASSIFICATION OUTPERFORMS LINEAR HYPONYM-HYPERNYM PROJECTIONS

2020 ◽  
Author(s):  
M. Kunilovskaya ◽  
◽  
A. Kutuzov ◽  
A. Plum ◽  
◽  
...  
Keyword(s):  
Russian Language ◽  
Word Embeddings ◽  
Shared Task ◽  
Key Factors ◽  
Occam’S Razor ◽  
Nearest Neighbours ◽  
Class Labels ◽  
The Russian Language ◽  
Occam's Razor

We present the description of our system that was ranked third in the noun sub-track of the Taxonomy Enrichment for the Russian Language shared task offered by Dialogue Evaluation 2020. Our best-performing system appears against the backdrop of other methods and their combinations attempted, and its results argue in favour of Occam’s razor for this task. A simple supervised classifier was trained on static distributional embeddings of hyponym words as features and their numeric hypernym synset identifiers from the taxonomy as class labels. It outperformed more complicated approaches based on learning linear projections from hyponym embeddings to hypernym embeddings and returning synset identifiers for the nearest neighbours of the predicted vectors. Training specially tailored word embeddings for ruWordNet multi-word expressions proved to be one of the key factors for both approaches.

scholarly journals Designing Information Systems for Transaction and Production Data Management A&N convection

2020 ◽  
Vol 2 (2) ◽  
pp. 121-130
Author(s):  
Nadya Rosanna ◽  
Hery Hery ◽  
Andree E. Widjaja
Keyword(s):  
Information Systems ◽  
Business Processes ◽  
System Development ◽  
System Modeling ◽  
Production Data ◽  
Web Based ◽  
Master Data ◽  
Data Collection Process ◽  
To Come ◽  
Web Based System

Many companies have implemented technology in conducting their business, one of them is by using information systems in managing their business. The business process that runs on the Konveksi A&N is still manual because the Konveksi A&N has not implemented or is familiar with information systems like other companies has. This causes all the data collection process of goods, production, and transactions are all documented in different books, making it possible for errors in recording and calculating the data. In addition, the owner also needs to come directly to the location to find out new data or updated data where this takes more time. This research aims to establish a web-based system that can make business processes in Konveksi A&N more effective. This web-based system will be built using a system development methodology in the form of a prototyping method that uses the Hypertext Preprocessor (PHP) programming language. System modeling was developed using UML 2.5, use case diagrams, activity diagrams, and class diagrams. The final result of this study is a website-shaped information system that can document all data contained in the Konveksi A&N such as the existence of a master data that contains all the data of convection, production data, and also transaction data to facilitate the owner in checking back all activities that are occurs in Konveksi A&N. There are also some reports about the transaction that can display information related to data contained in the system.

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