Associating land registry and cadastre transactions with LADM-based external archive data model: a case study of Turkey

Survey Review ◽  
2021 ◽  
pp. 1-15
Author(s):  
Zeynel Abidin Polat ◽  
Mehmet Alkan
Keyword(s):  
Data Model ◽  
External Archive ◽  
Archive Data

MapTap and Cornelia Slow Digital Art History and Formal Art Historical Social Network Research

2016 ◽  
Vol 79 (3) ◽  
pp. 315-330 ◽  
Author(s):  
Koenraad Brosens ◽  
Klara Alen ◽  
Astrid Slegten ◽  
Fred Truyen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Early Modern ◽  
Data Model ◽  
Art History ◽  
Digital Art ◽  
Unique Data ◽  
Network Research ◽  
Custom Made

Abstract The essay introduces MapTap, a research project that zooms in on the ever-changing social networks underpinning Flemish tapestry (1620 – 1720). MapTap develops the young and still slightly amorphous field of Formal Art Historical Social Network Research (FAHSNR) and is fueled by Cornelia, a custom-made database. Cornelia’s unique data model allows researchers to organize attribution and relational data from a wide array of sources in such a way that the complex multiplex and multimode networks emerging from the data can be transformed into partial unimode networks that enable proper FAHSNR. A case study revealing the key roles played by women in the tapestry landscape shows how this kind of slow digital art history can further our understanding of early modern creative communities and industries.

scholarly journals Accessible Routes Integrating Data from Multiple Sources

2020 ◽  
Vol 10 (1) ◽  
pp. 7
Author(s):  
Miguel R. Luaces ◽  
Jesús A. Fisteus ◽  
Luis Sánchez-Fernández ◽  
Mario Munoz-Organero ◽  
Jesús Balado ◽  
...  
Keyword(s):  
Information System ◽  
Data Model ◽  
Large Scale ◽  
Heterogeneous Data ◽  
Multiple Sources ◽  
Heterogeneous Data Sources ◽  
Different Types ◽  
Software Sensors ◽  
The City

Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain).

scholarly journals A decision support method for evaluating database designs

2012 ◽  
Vol 9 (1) ◽  
pp. 81-106 ◽  
Author(s):  
Erki Eessaar ◽  
Marek Soobik
Keyword(s):  
Decision Support ◽  
Data Model ◽  
Processing System ◽  
Transaction Processing ◽  
Database Management System ◽  
Pairwise Comparisons ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Decision Support Method

It is possible to produce different database designs based on the same set of requirements to a database. In this paper, we present a decision support method for comparing different database designs and for selecting one of them as the best design. Each data model is an abstract language that can be used to create many different databases. The proposed method is flexible in the sense that it can be used in case of different data models, criteria, and designs. The method is based on the Analytic Hierarchy Process and uses pairwise comparisons. We also present a case study about comparing four designs of SQL databases in case of PostgreSQL? database management system. The results depend on the context where the designs will be used. Hence, we evaluate the designs in case of two different contexts - management of measurements data and an online transaction processing system.

scholarly journals KOMUNIKASI VERBAL ANAK PESISIR USIA 7-8 TAHUN PADA TRANSAKSI PENJUALAN PRODUK KEBUDAYAAN DENGAN TURIS MANCANEGARA

2018 ◽  
Vol 12 (1) ◽  
pp. 12-28 ◽  
Author(s):  
Edhy Rustan ◽  
Subhan Subhan
Keyword(s):  
Second Language ◽  
Communication Skills ◽  
Data Model ◽  
Communication Skill ◽  
Verbal Communication ◽  
Spoken Word ◽  
Communication Patterns ◽  
Analysis Technique ◽  
Two Factors

This study aims to obtain a description of children’s second language verbal communication skills aged 7-8 years in the activity of buying and selling transactions with foreign tourists. This research was conducted in South Coastal Coast of Central Lombok Regency of West Nusa Tenggara. This research is a qualitative study of case study by Milles and Hubberman model data analysis technique with four stages of interalain analysis (1) data collection, (2) data reduction, (3) data display and (4) drawing conclusion. The results of this study indicate that the verbal communication skills of coastal children are obtained partially covering three linguistic components; vocabulary, shipping and grammatical arrangement. The process of acquiring verbal communication skills is influenced by two factors, namely family pressure and self-exposure of children to the coastal tourism environment that encourages children to sell cultural products to foreign tourists. For these purposes, coastal children use two common patterns of second language verbal communication, ie direct verbal communication patterns (spoken word) and indirect verbal communication patterns (writing word). Keyword: Verbal communication skill, Children aged 7-8 years. Penelitian ini bertujuan untuk memeroleh gambaran kemampuan komunikasi verbal bahasa kedua anak usia 7-8 tahun dalam kegiatan transaksi jual beli dengan turis mancanegara. Penelitian ini dilakukan di Pesisir Pantai Selatan Kabupaten Lombok Tengah Nusa Tenggara Barat. Penelitian ini adalah studi kasus dengan teknik analisis data model Milles dan Hubberman dengan empat tahapan analisis yang meliputi (1) pengumpulan data, (2) reduksi data, (3) display data, dan (4) penarikan kesimpulan. Hasil analisis menunjukkan bahwa kemampuan komunikasi verbal anak pesisir pantai cenderung diperoleh secara parsial; mencakup tiga komponen kebahasaan antaralain kosakata, pelafalan  dan susunan gramatikal. Adapun proses pemerolehan kemampuan komunikasi verbal tersebut dipengaruhi oleh dua faktor yaitu tekanan keluarga dan ekspos diri anak pada lingkungan pariwisata pantai yang mendorong anak untuk berjualan produk-produk kebudayaan kepada para turis mancanegara. Untuk kepentingan tersebut, anak pesisir pantai menggunakan dua pola umum komunikasi verbal bahasa kedua, yaitu pola komunikasi verbal langsung (spoken word) dan pola komunikasi verbal tidak langsung (writing word). Kata Kunci: kemampuan komunikasi verbal, anak usia 7-8 tahun

scholarly journals Integrating cellular automata and discrete global grid systems: a case study into wildfire modelling

2020 ◽  
Vol 1 ◽  
pp. 1-23
Author(s):  
Majid Hojati ◽  
Colin Robertson
Keyword(s):  
Big Data ◽  
Spatial Analysis ◽  
Cellular Automata ◽  
Spatial Data ◽  
Data Model ◽  
Data Access ◽  
Environmental Modeling ◽  
Modeling Framework ◽  
Global Grid

Abstract. With new forms of digital spatial data driving new applications for monitoring and understanding environmental change, there are growing demands on traditional GIS tools for spatial data storage, management and processing. Discrete Global Grid System (DGGS) are methods to tessellate globe into multiresolution grids, which represent a global spatial fabric capable of storing heterogeneous spatial data, and improved performance in data access, retrieval, and analysis. While DGGS-based GIS may hold potential for next-generation big data GIS platforms, few of studies have tried to implement them as a framework for operational spatial analysis. Cellular Automata (CA) is a classic dynamic modeling framework which has been used with traditional raster data model for various environmental modeling such as wildfire modeling, urban expansion modeling and so on. The main objectives of this paper are to (i) investigate the possibility of using DGGS for running dynamic spatial analysis, (ii) evaluate CA as a generic data model for dynamic phenomena modeling within a DGGS data model and (iii) evaluate an in-database approach for CA modelling. To do so, a case study into wildfire spread modelling is developed. Results demonstrate that using a DGGS data model not only provides the ability to integrate different data sources, but also provides a framework to do spatial analysis without using geometry-based analysis. This results in a simplified architecture and common spatial fabric to support development of a wide array of spatial algorithms. While considerable work remains to be done, CA modelling within a DGGS-based GIS is a robust and flexible modelling framework for big-data GIS analysis in an environmental monitoring context.

scholarly journals Storing Hypergraph-Based Data Models in Non-hypergraph Data Storage and Applications for Information Systems

2021 ◽  
pp. 1-21
Author(s):  
Bálint Molnár ◽  
András Béleczki ◽  
Bence Sarkadi-Nagy
Keyword(s):  
Information Systems ◽  
Data Storage ◽  
Data Model ◽  
Relational Data ◽  
Complex Data ◽  
Graph Representations ◽  
Relational Data Model ◽  
Rich Information ◽  
The Relationship

Data structures and especially the relationship among the data entities have changed in the last couple of years. The network-like graph representations of data-model are becoming more and more common nowadays, since they are more suitable to depict these, than the well-established relational data-model. The graphs can describe large and complex networks — like social networks — but also capable of storing rich information about complex data. This was mostly of relational data-model trait before. This also can be achieved with the use of the knowledge representation tool called “hypergraphs”. To utilize the possibilities of this model, we need a practical way to store and process hypergraphs. In this paper, we propose a way by which we can store hypergraphs model in the SAP HANA in-memory database system which has a “Graph Core” engine besides the relational data model. Graph Core has many graph algorithms by default however it is not capable to store or to work with hypergraphs neither are any of these algorithms specifically tailored for hypergraphs either. Hence in this paper, besides the case study of the two information systems, we also propose pseudo-code level algorithms to accommodate hypergraph semantics to process our IS model.

Comprehensive Data Analytics Project Using Excel and Tableau for the Sales and Purchases Cycles

2021 ◽  
Author(s):  
Karen Schuele ◽  
Elizabeth Felski
Keyword(s):  
Data Model ◽  
Data Analytics ◽  
Microsoft Excel ◽  
Comprehensive Data ◽  
Accounting Courses ◽  
The Common ◽  
The Right

Using materials from PwC’s data analytics case study with a fictitious company, Pixystems Toy Company, Inc. (PwC, 2017), henceforth Pixystems Toys, the authors developed a comprehensive, multi-part data analytics project applicable in a variety of accounting courses.  The project follows the common data analytics framework (ask the right questions, extract, transform and load (ETL) the data, perform appropriate analyses and present the results).  Students apply this framework to the sales and purchases cycles.  For each students develop relevant questions, build a data model and perform other ETL procedures, perform analytics and prepare a presentation to convey insights and recommendations.  For the sales cycle, Microsoft Excel is the analytics tool; for the purchases cycle, Tableau is used. This project provides an opportunity for students to gain experience with two analytics tools, understand the process of building a data model, and wrestle with how to convey the results of their analysis.

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