scholarly journals Managing Emerging Data Types in the NGLMS

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
James Farrow
Keyword(s):  
Living Arrangements ◽  
Management System ◽  
Linked Data ◽  
Census Data ◽  
Extraction Process ◽  
Graph Database ◽  
Data Types ◽  
The Face ◽  
Employee Relationships ◽  
Birth Records

ABSTRACT ObjectivesWe describe the management system used by the Next Generation Linkage Management System (NGLMS) built for SA.NT DataLink in Adelaide, Australia. The NGLMS is a bespoke system built on freely available open source components where a graph (in the computer science sense) structure is used to store a ‘more natural’ representation of linked records explicitly in a graph database: records as vertices and relationships as edges between vertices. ApproachThe NGLMS is designed to manage linked data effectively and permit fast individual cluster extraction while retaining rich relationship information. It holds probabilistic and statically-linked data by storing all significant pair-wise relationships between records as edges in a graph, allowing clustering with different parameters to be performed dynamically. Records are heterogeneous and may contain different data types: birth records, hospital separations, census data, pharmaceutical prescriptions, educational data. The relationships between records are also heterogeneous and may represent arbitrary relationships not just a probabilistic record similarity. For example, familial (parent/child), tribal kinship structures, genomic (and other omic) information, employer/employee relationships, educational information, living arrangements, census information, and so on. Storing this information allows for richer queries than just ‘do these records represent the same entity’. For example a single rich query to the database could be ‘find all records of all siblings’, ‘create genealogies based on birth information’, ’create household groups based on census/cohabitation information’, or ‘find employees working in areas affected by recent floods with hospitalisations during that time period.’ ResultsWe present details of the loading of birth and perinatal data incorporating parent (mother and father) relationships for some South Australian datasets and the technical configuration of the NGLMS to support this. We discuss the queries made possible as a result. Rich non-traditional data is stored in the same manner as probabilistic record similarities and has allowed clustering queries which mix explicit deterministic statements about the data and probabilistic statements concerning record relationships. ConclusionRich queries over data may be expressed by storing rich heterogeneous information about records and relationships explicitly as a graph and by determining clusters late in the extraction process. Modern graph database technologies make this effective even in the face of datasets containing 10’s to 100’s of million records and billions of edge relationships.

scholarly journals An Interoperable BIM-Based Toolkit for Efficient Renovation in Buildings

Buildings ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 271
Author(s):  
Bruno Daniotti ◽  
Cecilia Maria Bolognesi ◽  
Sonia Lupica Spagnolo ◽  
Alberto Pavan ◽  
Martina Signorini ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Management System ◽  
Linked Data ◽  
Research Question ◽  
Digital Tools ◽  
European Research ◽  
Construction Sector ◽  
Research Project ◽  
One Step ◽  
Data Environment

Since the buildings and construction sector is one of the main areas responsible for energy consumption and emissions, focusing on their refurbishment and promoting actions in this direction will be helpful to achieve an EU Agenda objective of making Europe climate-neutral by 2050. One step towards the renovation action is the exploitation of digital tools into a BIM framework. The scope of the research contained in this paper is to improve the management of information throughout the different stages of the renovation process, allowing an interoperable exchange of data among the involved stakeholders; the development of an innovative BIM-based toolkit is the answer to the research question. The research and results obtained related with the development of an interoperable BIM-based toolkit for efficient renovation in buildings in the framework of the European research project BIM4EEB. Specifically, the developed BIM management system allows the exchange of the data among the different tools, using open interoperable formats (as IFC) and linked data, in a Common Data Environment, to be used by the different stakeholders. Additionally, the developed tools allow the stakeholders to manage different stages of the renovation process, facilitating efficiencies in terms of time reduction and improving the resulting quality. The validity of each tool with respect to existing practices is demonstrated here, and the strengths and weaknesses of the proposed tools are described in the workflow detailing issues such as interoperability, collaboration, integration of different solutions, and time consuming existing survey processes.

TECHNO21: Design and Implementation of a New Performance Management System

2021 ◽  
pp. 097282012199495
Author(s):  
Asfia Obaid ◽  
Saman Rahman ◽  
Asia Mehmood ◽  
Neelab Kayani
Keyword(s):  
Organizational Culture ◽  
Organizational Performance ◽  
System Design ◽  
Performance Management ◽  
Management System ◽  
Performance Management System ◽  
Performance Levels ◽  
Strategic Objectives ◽  
Design And Implementation ◽  
The Face

The case highlights the key concerns and issues an organization may face if its performance management system (PMS) does not serve its intended purpose and how it can cause demotivation and dissatisfaction among employees and result in an overall decline in organizational performance. It also illustrates how employees’ organizational culture and perception can be as important as the system design and can present challenges even if an elaborate system is planned. In the face of increasing turmoil among employees towards management and the decreasing performance of the organization, TECHNO21 decided to change its current PMS, which seemed a difficult but necessary step to achieve the desired performance levels and overall strategic objectives of the organization.

Who Banishes? City Power and Anti-homeless Policy in San Francisco

2020 ◽  
pp. 107808742092590
Author(s):  
David J. Amaral
Keyword(s):  
San Francisco ◽  
Census Data ◽  
Power Dynamics ◽  
Systematic Analysis ◽  
Public Records ◽  
Adoption And Implementation ◽  
Economic Forces ◽  
The Face ◽  
Election Results ◽  
Business District

Despite cross-disciplinary attention to laws targeting homeless behavior in cities, systematic analysis of the power dynamics behind the adoption and implementation of such laws is surprisingly scarce. This article addresses that oversight by investigating the politics of anti-homeless policies in San Francisco, a critical and revealing case. Using a mixed-methods approach that joins qualitative analysis of public records with spatial and statistical analysis of precinct-level election results, census data, and geocoded police and 311 records, it evaluates previously unmeasured claims concerning the relative influence of social and economic forces in determining policy adoption and assesses whether enforcement patterns betray preferential treatment. Findings suggest that in the face of mobilized opposition, an anti-homeless regime composed of business and neighborhood merchants, elected officials, conservatives, and homeowners each contribute resources required to pass anti-homeless laws. Contrary to past claims, enforcement practices do not appear to privilege only the downtown business district.

Database Considerations for an ICU Patient Data Management System

1991 ◽  
Author(s):  
N. Fumai ◽  
C. Collet ◽  
M. Petroni ◽  
K. Roger ◽  
E. Saab ◽  
...  
Keyword(s):  
Data Management ◽  
Real Time ◽  
Data Storage ◽  
Relational Database ◽  
Management System ◽  
Patient Data ◽  
Patient Data Management System ◽  
Data Management System ◽  
Data Types ◽  
Management Structure

Abstract A Patient Data Management System (PDMS) is being developed for use in the Intensive Care Unit (ICU) of the Montreal Children’s Hospital. The PDMS acquires real-time patient data from a network of physiological bedside monitors and facilitates the review and interpretation of this data by presenting it as graphical trends, charts and plots on a color video display. Due to the large amounts of data involved, the data storage and data management processes are an important task of the PDMS. The data management structure must integrate varied data types and provide database support for different applications, while preserving the real-time acquisition of network data. This paper outlines a new data management structure which is based primarily on OS/2’s Extended Edition relational database. The relational database design is expected to solve the query shortcomings of the previous data management structure, as well as offer support for security and concurrency. The discussion will also highlight future advantages available from a network implementation.

Marefa

2018 ◽  
Vol 14 (3) ◽  
pp. 167-183
Author(s):  
Ahmed Ktob ◽  
Zhoujun Li
Keyword(s):  
Best Practices ◽  
Linked Data ◽  
New Technologies ◽  
Extraction Process ◽  
Primary Sources ◽  
Statistical Measures ◽  
The Web ◽  
Meaningful Data

This article describes how recently, many new technologies have been introduced to the web; linked data is probably the most important. Individuals and organizations started emerging and publishing their data on the web adhering to a set of best practices. This data is published mostly in English; hence, only English agents can consume it. Meanwhile, although the number of Arabic users on the web is immense, few Arabic datasets are published. Publication catalogs are one of the primary sources of Arabic data that is not being exploited. Arabic catalogs provide a significant amount of meaningful data and metadata that are commonly stored in excel sheets. In this article, an effort has been made to help publishers easily and efficiently share their catalogs' data as linked data. Marefa is the first tool implemented that automatically extracts RDF triples from Arabic catalogs, aligns them to the BIBO ontology and links them with the Arabic chapter of DBpedia. An evaluation of the framework was conducted, and some statistical measures were generated during the different phases of the extraction process.

scholarly journals Improving Access to the Dutch Historical Censuses with Linked Open Data

2018 ◽  
Vol 3 (1) ◽  
pp. 13-26
Author(s):  
Albert Meroño-Peñuela ◽  
Ashkan Ashkpour ◽  
Valentijn Gilissen ◽  
Jan Jonker ◽  
Tom Vreugdenhil ◽  
...  
Keyword(s):  
Economic History ◽  
Linked Data ◽  
Census Data ◽  
Social Economic ◽  
Open Data ◽  
Data Cube ◽  
Data Publishing ◽  
Database Interface ◽  
Knowledge Intensive ◽  
The Web

The Dutch Historical Censuses (1795–1971) contain statistics that describe almost two centuries of History in the Netherlands. These censuses were conducted once every 10 years (with some exceptions) from 1795 to 1971. Researchers have used its wealth of demographic, occupational, and housing information to answer fundamental questions in social economic history. However, accessing these data has traditionally been a time consuming and knowledge intensive task. In this paper, we describe the outcomes of the cedar project, which make access to the digitized assets of the Dutch Historical Censuses easier, faster, and more reliable. This is achieved by using the data publishing paradigm of Linked Data from the Semantic Web. We use a digitized sample of 2,288 census tables to produce a linked dataset of more than 6.8 million statistical observations. The dataset is modeled using the rdf Data Cube, Open Annotation, and prov vocabularies. The contributions of representing this dataset as Linked Data are: (1) a uniform database interface for efficient querying of census data; (2) a standardized and reproducible data harmonization workflow; and (3) an augmentation of the dataset through richer connections to related resources on the Web.

Patterns of living arrangements of the elderly in mainland China

2017 ◽  
Vol 6 (2) ◽  
pp. 179-191 ◽  
Author(s):  
Jiehua Lu ◽  
Yun Zhang
Keyword(s):  
Elderly People ◽  
Living Arrangements ◽  
Census Data ◽  
Living Arrangement ◽  
Mainland China ◽  
The Elderly ◽  
Living Alone ◽  
Population Census ◽  
Content Type ◽  
Healthy Longevity

Purpose The purpose of this paper is to examine the changes and consequences of the patterns of Chinese elderly population’s living arrangements. It contains information that can be considered for future policy making for the elderly and to gain a better understanding of the social transition in China. Design/methodology/approach Based on the analysis of the population census data in 2000 and 2010, the authors examined the changes and trends of the living arrangements of the elderly Chinese population. Furthermore, the authors analyzed factors influencing the Chinese elderly’s living arrangements according to the data acquired from the Chinese Longitudinal Healthy Longevity Survey. Findings First, the proportion of the elderly people living with children has been decreasing. Second, the proportions of elderly people “living alone” and “living with spouse independently” has largely increased. Third, the changes and trends showed differences between urban and rural regions. Originality/value By looking at the characteristics among elderly people with different living arrangement patterns, those that are “living alone” are typically in disadvantaged conditions, and thus special attention should be paid with regards to related research and policies for the elderly who are “living alone.”

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