Evaluating Utility and Automatic Classification of Subject Metadata from Research Data Australia

2021 ◽  
Vol 48 (3) ◽  
pp. 219-230
Author(s):  
Mingfang Wu ◽  
Ying-Hsang Liu ◽  
Rowan Brownlee ◽  
Xiuzhen Zhang
Keyword(s):  
Quality Of Data ◽  
Data Discovery ◽  
Search Behaviour ◽  
Subject Categories ◽  
Automatic Methods ◽  
Additional Support ◽  
Search Logs

In this paper, we present a case study of how well subject metadata (comprising headings from an international classification scheme) has been deployed in a national data catalogue, and how often data seekers use subject metadata when searching for data. Through an analysis of user search behaviour as recorded in search logs, we find evidence that users utilise the subject metadata for data discovery. Since approximately half of the records ingested by the catalogue did not include subject metadata at the time of harvest, we experimented with automatic subject classification approaches in order to enrich these records and to provide additional support for user search and data discovery. Our results show that automatic methods work well for well represented categories of subject metadata, and these categories tend to have features that can distinguish themselves from the other categories. Our findings raise implications for data catalogue providers; they should invest more effort to enhance the quality of data records by providing an adequate description of these records for under-represented subject categories.

Classification of halal hotels based on industrial perceived value: a study of Indonesia and Thailand

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Atie Rachmiatie ◽  
Fitri Rahmafitria ◽  
Karim Suryadi ◽  
Ajeng Ramadhita Larasati
Keyword(s):  
Hotel Industry ◽  
Content Type ◽  
Perceived Values ◽  
Physical Attributes ◽  
The Government ◽  
True Values ◽  
Islamic Values

Purpose The research aims to classify halal hotels based on Islamic values as embodied in both physical and non-physical attributes. Design/methodology/approach This study explores the perceived values of business owners of the halal hotels. Findings Perceptions of hotel owners are divided into three types: those who view the value of halal hotel only in terms of branding and attracting consumers; those who consider the ideology behind halal hotels based on strong Islamic values; and those who avoid halal branding but implement Islamic values in their hotels. For the hotel industry, halal certification is not a priority because a minimum effort at implementing halal standards can already attract Muslim customers. This case is especially true for countries where Muslims make up the majority of the population. Research limitations/implications This study was limited to a case study in Bandung and Bangkok as a representative of halal tourism in Asia. Hence, it could be extended by conducting comparative studies with other cities in Association of South East Asian Nation which already declare to develop halal tourism. Practical implications The findings of this research show that there is a large variety of halal hotel products, depending on the Islamic values upheld, which is causing difficulties for the government in creating standards. Then the result can help inform the government in establishing the strategic framework of halal tourism development, more particularly in the formulation of policy for industrial actors. Originality/value The findings contribute to the concept of product-centered business, in which it is generally assumed that industrial actors are frequently focused on the mere label of “halal” and ignore the true values. However, the research shows that some industrial actors put Islamic values first instead of the mere halal label, and another case shows that some of them implement Islamic values in their business but avoid halal branding. This empirical evidence shows that in halal hotels, the concept of product-centered is not always proper. The quality of halal hotel products depends on the Islamic value of the owner, not always influenced by business imperatives.

scholarly journals Using Neural Networks in Order to Analyze Telework Adaptability across the European Union Countries: A Case Study of the Most Relevant Scenarios to Occur in Romania

2021 ◽  
Vol 18 (20) ◽  
pp. 10586
Author(s):  
Ana Maria Mihaela Iordache ◽  
Codruța Cornelia Dura ◽  
Cristina Coculescu ◽  
Claudia Isac ◽  
Ana Preda
Keyword(s):  
European Union ◽  
The European Union ◽  
Working From Home ◽  
Level Of Satisfaction ◽  
Final Layer ◽  
Degree Of Satisfaction ◽  
Input Variables

Our study addresses the issue of telework adoption by countries in the European Union and draws up a few feasible scenarios aimed at improving telework’s degree of adaptability in Romania. We employed the dataset from the 2020 Eurofound survey on Living, Working and COVID-19 (Round 2) in order to extract ten relevant determinants of teleworking on the basis of 24,123 valid answers provided by respondents aged 18 and over: the availability of work equipment; the degree of satisfaction with the experience of working from home; the risks related to potential contamination with SARS-CoV-2 virus; the employees’ openness to adhering to working-from-home patterns; the possibility of maintaining work–life balance objectives while teleworking; the level of satisfaction on the amount and the quality of work submitted, etc. Our methodology entailed the employment of SAS Enterprise Guide software to perform a cluster analysis resulting in a preliminary classification of the EU countries with respect to the degree that they have been able to adapt to telework. Further on, in order to refine this taxonomy, a multilayer perceptron neural network with ten input variables in the initial layer, six neurons in the intermediate layer, and three neurons in the final layer was successfully trained. The results of our research demonstrate the existence of significant disparities in terms of telework adaptability, such as: low to moderate levels of adaptability (detected in countries such as Greece, Croatia, Portugal, Spain, Lithuania, Latvia, Poland, Italy); fair levels of adaptability (encountered in France, Slovakia, the Czech Republic, Hungary, Slovenia, or Romania); and high levels of adaptability (exhibited by intensely digitalized economies such Denmark, Sweden, Finland, Germany, Ireland, the Netherlands, Belgium, etc.).

Familial clustering of Amelogenesis Imperfecta – a case study

2018 ◽  
Vol 14 (1) ◽  
pp. 61-72
Author(s):  
Agnieszka Kornet ◽  
Michał Kornet ◽  
Roksana Domańska ◽  
Konrad Perkowski ◽  
Magdalena Marczyńska-Stolarek ◽  
...  
Keyword(s):  
Open Bite ◽  
Amelogenesis Imperfecta ◽  
Multi Stage ◽  
Familial Clustering ◽  
Proper Functions ◽  
Medical University ◽  
Tooth Buds

Amelogenesis Imperfecta (henceforth: AI) is a term used to determine congenital qualitative and quantitative enamel defects, concerning both deciduous and permanent dentition. Classification of AI is based on the phenotype of lesions and is included in numerous types of classifications, among which the Witkop classification is the most popular. Apart from enamel abnormalities, patients afflicted with AI may also have other disorders, e.g. congenital deficiencies of tooth buds, pulp calcification, root and crown resorption, open bite. Aesthetic defects of dentition, pain reported when consuming acidic and hot foods, difficulties in obtaining satisfactory hygiene - all these significantly affect the quality of life of patients with AI. Care provided to these patients is highly specialised and starts as early as in early childhood. Aim. The aim of the study was to describe familial clustering, types, symptoms and treatment of Amelogenesis Imperfecta in members of two families treated at the Department of Orthodontics at the Medical University of Warsaw. Material and methods. The material comprised two unrelated families with clinically manifested symptoms of AI, treated at the Department of Orthodontics at the Medical University of Warsaw. A detailed interview, clinical examination and analysis of radiological documentation were conducted in each family. Results. All patients in the study were suffering from hypoplastic AI, their hygiene was satisfactory, four in five patients had an open bite. Reported symptoms did not differ from those most commonly described in the literature, and included discomfort while eating acidic and hot food, and excessive enamel abrasion. Conclusions. Treatment of patients with AI is multi-stage, multidisciplinary, and aims to restore proper functions of the dentition, as well as to obtain a correct occlusion, skeletal relationships, and to reduce hypersensitivity to thermal and chemical stimuli. Preventive measures are important, and should be introduced early, during the stage of the deciduous dentition, and be related to hygiene briefing and monitoring. (Kornet A, Kornet M, Domańska R, Perkowski K, Marczyńska-Stolarek M, Zadurska M. Familial clustering of Amelogenesis Imperfecta – a case study. Orthod Forum 2018; 14: 61-72)

Quality of data on intra-EU trade in goods

2019 ◽  
Vol 64 (6) ◽  
pp. 5-15
Author(s):  
Iwona Markowicz ◽  
Paweł Baran
Keyword(s):  
Poor Quality ◽  
Study Data ◽  
Quality Of Data ◽  
Member States ◽  
Eu Member States ◽  
Country Level ◽  
The Poor ◽  
Made In

Official statistics on trade in goods between EU member states are collect-ed on country-level and then aggregated by Eurostat. Methodology of data collecting differs slightly between member states(e.g. various statistical thresholds and coverage), including differences in exchange rates as well as undeclared or late-declared transac-tions, errors in classification of goods and other mistakes. It often involves incomparability of mirror data (nominally concerning the same transactions recorded in statistics of both dispatcher and receiver countries). A huge part of these differences can be explained with the variable quality of data resources in the Eurostat database. In the study data quality on intra-EU trade in goods for 2017 was compared between Poland and neigh-bouring EU countries, i.e.:Germany, Czech Republic, Slovakia, Lithuania,and other Baltic states–Latvia and Estonia. The additional aim was to indicate the directions hav-ing the greatestinfluence on the observed differences in mirror data. The results of the study indicate that the declarations made in Estonia affect the poor quality of data on trade in goods between the countries mentioned above to the greatest extent.

scholarly journals Online Data Preprocessing: A Case Study Approach

2019 ◽  
Vol 9 (4) ◽  
pp. 2620
Author(s):  
Mohammed Zuhair Al-Taie ◽  
Seifedine Kadry ◽  
Joel Pinho Lucas
Keyword(s):  
Social Network ◽  
Data Preprocessing ◽  
Quality Data ◽  
The Internet ◽  
Network Data ◽  
Quality Of Data ◽  
Standard Format ◽  
Social Network Data

<span lang="EN-US">Besides the Internet search facility and e-mails, social networking is now one of the three best uses of the Internet. A tremendous number of volunteers every day write articles, share photos, videos and links at a scope and scale never imagined before. However, because social network data are huge and come from heterogeneous sources, the data are highly susceptible to inconsistency, redundancy, noise, and loss. For data scientists, preparing the data and getting it into a standard format is critical because the quality of data is going to directly affect the performance of mining algorithms that are going to be applied next. Low-quality data will certainly limit the analysis and lower the quality of mining results. To this end, the goal of this study is to provide an overview of the different phases involved in data preprocessing, with a focus on social network data. As a case study, we will show how we applied preprocessing to the data that we collected for the Malaysian Flight MH370 that disappeared in 2014.</span>

scholarly journals SEMIOTIC “STACKING DOLL”: CODING IN HETEROGENEOUS SCREEN TEXTS (case study of a film text “King’s speech” and a videotext “You’re single, you’re such a name”)

2019 ◽  
Vol 10 (1) ◽  
pp. 75-84
Author(s):  
Yulia Aleksandrovna Evgrafova
Keyword(s):  
Information Society ◽  
Modern Society ◽  
Information Coding ◽  
Quality Of Information ◽  
Modern Information ◽  
The Spectator ◽  
Film Text

Volume and quality of information circulating in modern society is constantly increasing. To process, record and transfer which it is needed to employ more capacious means that ask for less effort while decoding and perception. This leads to the situation when a semiotically expanded heterogeneous text becomes dominant in the modern information society. This article deals with the means of information coding in heterogeneous texts which mean of transmission is the screen. The classification of information codes based on synthesis of information and semiotic theories is suggested. The case study of a film text demonstrates the codes employed to generate audio-visual message, device of semiotic “stacking doll” is described, the employment of which leads to the appearance of semiotic situation od sumulacrativity, which aim is to make the spectator believe in what is happening on the screen. This article is aimed at specialist audience: students, post-graduates, professors, linguists and others who are interested in general and linguistic semiotics.

scholarly journals Development Of Landsat Cloud Free Image Data For Classification Of Land Cover-Case Study In Dak Lak Province

2019 ◽  
Vol 35 (4) ◽  
Author(s):  
Tran Anh Tuan ◽  
Nguyen Dinh Duong
Keyword(s):  
Land Cover ◽  
Optical Sensors ◽  
Image Data ◽  
Landsat 8 ◽  
Optical Remote Sensing ◽  
Earth Surface ◽  
Dry Seasons

Land cover mapping by optical remote sensing has many obstacles including clouds. Clouds block solar radiation coming to earth surface and reflective radiance from the earth surface to remote optical sensors resulting. Therefore, clouds result no-signal areas in images that cannot be used for study of ground objects. In many cases, thin clouds degrade quality of reflective radiance and some times alter, unexpectedly, spectral reflectance characteristics of ground objects leading to false classification. In this paper, the authors present an algorithm on application of multidate for development of cloud free image. The used image data were received in rainy and dry seasons and by stacking, cloud free images representing rainy and dry seasons were created. These cloud free images can be used further for classification of land cover in rainy and dry seasons. Experiments were conducted with Landsat 8 OLI images with path/row number 124/51 covering Dak Lak province of Vietnam. The results of case study were development of cloud free image data representing rainy and dry seasons allowing separation of evegreen and deciduous forests in the study site.  

scholarly journals Analysis of engineering geology conditions based on the quality of rock mass in the Tiga Dihaji Dam’s diversion tunnel, South Sumatera, Indonesia

2021 ◽  
Vol 325 ◽  
pp. 05001
Author(s):  
Zekrinaldi ◽  
Ferian Anggara ◽  
Hendy Setiawan
Keyword(s):  
Rock Mass ◽  
Geological Strength Index ◽  
Strength Index ◽  
Diversion Tunnel ◽  
Rock Mass Quality ◽  
Geological Conditions ◽  
Q System

This research has examined the rock mass quality case study in the Tiga Dihaji Dam’s diversion tunnel. Observations of geological conditions were carried out on the surface and subsurface of the study site and show that the study area consists of tuffaceous sandstone and carbonate interbeds. The method of this study is based on the classification of the Geological Strength Index (GSI), Rock Mass Rating (RMR), and the Q-system. The results indicate that tuffaceous sandstone has a GSI value of 15 - 87.5 (very poor - very good), RMR 48 - 82 (fair - very good), and Q-system 0.01 – 60.0 (exceptionally poor - very good). Meanwhile, carbonate interbeds have a low value, with a GSI value of 10.5 - 77.5 (very poor to very good), RMR 17.0 – 56.0 (very - poor fair), and Q-system 0 - 35.2 (exceptionally poor - good). Moreover, a correlation was made between rock mass quality for conditions in the study area. The correlation between GSI and RMR was obtained by the equation GSI = 2.2885RMR 82.567 (R2 = 0.6653), RMR and Q-system RMR = 2.0175ln(Q) + 63.061 (R2 = 0.4987), and GSI and Q-system GSI = 7.2119ln(Q) 54.578 (R2 = 0.8095).

scholarly journals Forecasting of Sporadic Products: Practical and Theoretical Considerations

2020 ◽  
Vol 28 (2) ◽  
pp. 101-110
Author(s):  
Andrea Gelei ◽  
Imre Dobos
Keyword(s):  
Demand Forecasting ◽  
Future Research ◽  
Quality Of Data ◽  
Product Classification ◽  
Zero Values ◽  
Future Research Directions ◽  
Demand Patterns ◽  
Theoretical Considerations

This paper focuses on forecasting of products with sporadic demand. The demand for such products is not continuous but diffused seemingly at random, with a large proportion of zero values in the analyzed time series. The sporadic character of demand patterns actually means that the information available on the demand for previous selling periods is patchy, resulting in lower quality of data available. Under such circumstances demand forecasting is a challenging task. We present the results of a case study, where forecasting practice of a pharmaceutical wholesaler firm –we call it Pharma– is analyzed and developed. We present state-of-the-art knowledge related to demand forecasting of sporadic products and test suggestions related to them. We show that these suggestions can only partly be backed. We extend therefore the suggested product classification scheme and recommend using the concept of demand data aggregation. This will reduce sporadicity and result in higher quality forecasting. Aggregation also helps to specify the recommended forecast period, the length of time recommended to calculate the forecast for. The managerial consequences of these suggestions are also discussed, and future research directions are highlighted.

scholarly journals In Situ Observations on the Crack Morphology in the Ancient Timber Beams

2021 ◽  
Vol 13 (1) ◽  
pp. 439
Author(s):  
Nicola Ruggieri
Keyword(s):  
Essential Element ◽  
Sustainable Operation ◽  
Crack Morphology ◽  
Depth Analysis ◽  
Type Of Failure ◽  
Timber Beams

The conservation of ancient structures is, in the construction panorama, a highly eco-sustainable operation. In fact, it provides for a very limited consumption of resources. This article provides an in-depth analysis of ancient wooden material, an essential element for drawing up correct conservation interventions. Ancient timber beams have a peculiar morphology of failure dependent on many factors, among which are the species of wood, the quality of the material-knots, presence of fissures caused by shrinkage (checks), direction of the grain, and environmental conditions such as temperature and humidity. In addition, it is linked to load conditions and static configuration. This paper presents a case study of failed ancient timber members still in place and describes the type of failure as well as the origin and propagation of the cracks. The objective is to provide a classification of the causes and of the effects and their evolution, useful to practitioners and to those who have to make decisions on the timber structures conservation.

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