scholarly journals A Text and Data Analytics Approach to Enrich the Quality of Unstructured Research Information

2019 ◽  
Vol 12 (4) ◽  
pp. 84 ◽  
Author(s):  
Otmane Azeroual
Keyword(s):  
Data Mining ◽  
Information Systems ◽  
Text Mining ◽  
Semantic Integration ◽  
Sources Of Information ◽  
Academic Institutions ◽  
Quality Model ◽  
Research Information ◽  
The Individual

With the increased accessibility of research information, the demands on research information systems (RIS) that are expected to automatically generate and process knowledge are increasing. Furthermore, the quality of the RIS data entries of the individual sources of information causes problems. If the data is structured in RIS, users can read and filter out their information and knowledge needs without any problems. This technique, which nevertheless allows text databases and text sources to be analyzed and knowledge extracted from unknown texts, is referred to as text mining or text data mining based on the principles of data mining. Text mining allows automatically classifying large heterogeneous sources of research information and assigning them to specific topics. Research information has always played a major role in higher education and academic institutions, although they were usually available in unstructured form in RIS and grow faster than structured data. This can be a waste of time searching for RIS staff in universities and can lead to bad decision-making. For this reason, the present paper proposes a new approach to obtaining structured research information from heterogeneous information systems. It is a subset of an approach to the semantic integration of unstructured data using the example of a RIS. The purpose of this paper is to investigate text and data mining methods in the context of RIS and to develop an improvement quality model as an aid to RIS using universities and academic institutions to enrich unstructured research information.

scholarly journals Personalized Teaching Platform Based on Web Data Mining

2016 ◽  
Vol 11 (11) ◽  
pp. 15 ◽  
Author(s):  
Lan-zhong Wang
Keyword(s):  
Data Mining ◽  
Teaching Quality ◽  
Web Data ◽  
Web Data Mining ◽  
Teaching Platform ◽  
Modern Distance Education ◽  
The Individual ◽  
Individual Service ◽  
The Web

The purpose of this study is to develop a distance personalized teaching platform. The web data mining is used for the construction of the system and by analyzing the character of web data mining (WDM) and the essence of personalization teaching and instruction, based on WDM, The system contains knowledge base, individual database, WDM and web server four modules. The web data mining is used for the construction of the system and by analyzing the character of web data mining (WDM) and the essence of personalization teaching and instruction. Simulation results show that model has important enlightenment and pushing effect for promoting the individual service and improving teaching quality of modern distance education.

An evaluation of the quality of management information systems used by SACCOs in Kenya

2015 ◽  
Vol 27 (6) ◽  
pp. 798-813 ◽  
Author(s):  
Christopher Moturi ◽  
Prester Mbiwa
Keyword(s):  
Information Systems ◽  
Product Quality ◽  
Management Information Systems ◽  
Ease Of Use ◽  
Technical Training ◽  
Management Information ◽  
Quality Model ◽  
Content Type ◽  
Software Product

Purpose – Savings and Credit Cooperatives (SACCOs) in developing countries require core banking Management Information Systems (MISs) to run their business, serve their clients and provide differentiated products and services to gain competitive advantage. Considering that SACCOs in Kenya lack the necessary resources to acquire the best information systems, the purpose of this paper is to evaluate MISs currently in use in the SACCO subsector to determine how well they are serving. Design/methodology/approach – Using the ISO/IEC 25010 Software Product Quality Model, the quality of MISs operated by 215 Deposit-Taking SACCOs in the Kenya was evaluated to determine their level of performance. Findings – The results indicated that the MISs currently in use by the SACCOs serve them well in terms of functionality, efficiency, reliability, ease of use and portability. However, vendor support, technical training and implementation process are a big concern to the SACCOs. Practical implications – The SACCOs in Kenya need not look for other MISs as the ones in use satisfied the condition required by the ISO/IEC 25010 Software Product Quality Model. The areas that require attention are vendor support services by entering into contracts technical training and service level agreement; and good project management in software implementation. Originality/value – The research addresses itself to one of the biggest setbacks faced by a fast growing subsector in adopting ICT with limited capacity and infrastructure.

scholarly journals Using “Text Mining” Analysis for the Assessment of the Health Quality of Dietary Supplements

2020 ◽  
Vol 64 (1) ◽  
pp. 15-26
Author(s):  
Kacper Wróbel ◽  
Anna Justyna Milewska
Keyword(s):  
Risk Assessment ◽  
Text Mining ◽  
Dietary Supplements ◽  
Frequency Of Occurrence ◽  
Text Data ◽  
Helpful Tool ◽  
Health Quality ◽  
Text Data Analysis ◽  
The Individual

AbstractTechniques of text data analysis have been known for many years and commonly used in many areas of life. Text mining enables, among others, the acquisition of information from the text, its filtering, and studying of similarities and relationships. The aim of this paper is to design a method that would make it possible to assess the health quality of dietary supplements, on the basis of text mining techniques. A fictional plant-based product was used in the study, which was compared with other products containing at least one of the tested ingredients registered in the years 2007–2019 in the register of dietary supplements kept by the Chief Sanitary Inspectorate (GIS), which were given either the “consistent” or “to be clarified” status. The obtained results concern the frequency of occurrence of the individual ingredients (St John’s wort/Hypericum, melissa, rose root/Rhodiola) in other products, considering their status in the register. The data thus obtained was subjected to classical statistical analysis in order to find correlations between the presence of a given ingredient and the product status. In view of the obtained results, the text mining analysis may be considered as a helpful tool in the process of internal risk assessment performed by manufacturers of dietary supplements.

Digital Literacy for Health

2012 ◽  
pp. 142-152
Author(s):  
Ela Klecun
Keyword(s):  
Health Care ◽  
Health Literacy ◽  
Web 2.0 ◽  
Quality Of Health Care ◽  
Digital Literacy ◽  
The Internet ◽  
Sources Of Information ◽  
Individual Use ◽  
The Individual

This paper outlines and challenges expectations and promises regarding the potential of the internet and Web 2.0 for empowering patients and citizens. It focuses on literacies required to make a meaningful (to the individual) use of these technologies for health and health care related purposes. The author briefly discusses how these should be taught and concludes that these literacies, including digital literacy and health literacy, are complex and challenging to many while the empowering claims are over-stated. Traditional sources of information and advice will remain essential to maintaining quality of health care.

scholarly journals Implementation and user acceptance of research information systems

2019 ◽  
Vol 54 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Joachim Schöpfel ◽  
Otmane Azeroual ◽  
Gunter Saake
Keyword(s):  
Information Systems ◽  
Data Quality ◽  
Technology Acceptance ◽  
User Acceptance ◽  
Small Sample ◽  
Perceived Usefulness ◽  
Academic Institutions ◽  
Research Information ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to present empirical evidence on the implementation, acceptance and quality-related aspects of research information systems (RIS) in academic institutions. Design/methodology/approach The study is based on a 2018 survey with 160 German universities and research institutions. Findings The paper presents recent figures about the implementation of RIS in German academic institutions, including results on the satisfaction, perceived usefulness and ease of use. It contains also information about the perceived data quality and the preferred quality management. RIS acceptance can be achieved only if the highest possible quality of the data is to be ensured. For this reason, the impact of data quality on the technology acceptance model (TAM) is examined, and the relation between the level of data quality and user acceptance of the associated institutional RIS is addressed. Research limitations/implications The data provide empirical elements for a better understanding of the role of the data quality for the acceptance of RIS, in the framework of a TAM. The study puts the focus on commercial and open-source solutions while in-house developments have been excluded. Also, mainly because of the small sample size, the data analysis was limited to descriptive statistics. Practical implications The results are helpful for the management of RIS projects, to increase acceptance and satisfaction with the system, and for the further development of RIS functionalities. Originality/value The number of empirical studies on the implementation and acceptance of RIS is low, and very few address in this context the question of data quality. The study tries to fill the gap.

PENGARUH MODEL DAN STRATEGI PELATIHAN TERHADAP MUTU PELAYANAN DOSEN

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Efendi Napitupulu
Keyword(s):  
Service Quality ◽  
Instructional Quality ◽  
T Test ◽  
Quality Model ◽  
Conventional Model ◽  
Training Strategy ◽  
The Individual ◽  
And Training ◽  
Better Than

The objectives of this research were to determine the effects of model and training strategy on lecturer service quality. Two models of lecturer instructional quality improvement were applied in this research: the quality oriented and conventional models, while training strategy was divided into cooperative and indivualistic strategy. This research was experimental design used was the 2x2 factorial design. A questionnaire was administered to collect data on lecturer service quality consisting of 58 items (r= .98). ANAVA and t-test was used to analyze the data, t-test were used to analyze the differences between experimental groups at .05 level of significance. The result of this study indicated that (1) In general it can be concluded, that the quality of the lecturer service quality in the classroom, the quality oriented model was better than that of the conventional model; (2) In the cooperative strategy, the quality- oriented model was better than the conventional model; (3) In the individual strategy, the quality-orientedmodel was better than the conventional model, (4) there was no interaction effects between lecturer instuction quality model and training strategy on lecturer service quality. From the research findings it can be concluded that: The service quality of the trained lecturer which was quality-oriented model was better than that of the conventional model, whichever the strategy was used to improved the instructional quality of the lecturer. In other words, training to improved the lecturer instructional quality in the classroom, the model which stressed quality was better than model which did not stres quality.

scholarly journals An Ontology Approach to Data Integration using Mapping Method

2020 ◽  
Vol 6 (12) ◽  
pp. 28-32
Author(s):  
Dr.A.Mekala
Keyword(s):  
Data Mining ◽  
Information Systems ◽  
Text Mining ◽  
Data Integration ◽  
Mapping Method ◽  
Heterogeneous Databases ◽  
Semantic Heterogeneity ◽  
Text Documents ◽  
Federated Databases ◽  
Text Content

Text mining is a technique to discover meaningful patterns from the available text documents. The pattern sighting from the text and document association of document is a well-known problem in data mining. Analysis of text content and categorization of the documents is a composite task of data mining. Some of them are supervised and some of them unsupervised manner of document compilation. The term “Federated Databases” refers to the in sequence integration of distributed, autonomous and heterogeneous databases. Nevertheless, a federation can also include information systems, not only databases. At integrating data, more than a few issues must be addressed. Here, we focus on the trouble of heterogeneity, more specifically on semantic heterogeneity – that is, problems correlated to semantically equivalent concepts or semantically related/unrelated concepts. In categorize to address this problem; we apply the idea of ontologies as a tool for data integration. In this paper, we make clear this concept and we briefly explain a technique for constructing ontology by using a hybrid ontology approach.

The Panorama of Information Systems Quality

2011 ◽  
pp. 1-27 ◽  
Author(s):  
Evan W. Duggan ◽  
Han Reichgelt
Keyword(s):  
Information Systems ◽  
Business Organizations ◽  
Quality Model ◽  
High Quality ◽  
Is Success ◽  
Quality Literature ◽  
Systems Quality ◽  
The Many ◽  
Information Systems Quality

Business organizations are still struggling to improve the quality of information systems (IS) after many research efforts and years of accumulated experience in delivering them. The IS community is not short on prescriptions for improving quality; however the utterances are somewhat cacophonous as proponents of quality-enhancing approaches hyperbolize claims of their efficacy and/or denigrate older approaches, often ignoring the importance of context. In this chapter we undertake an extensive review of the IS quality literature to balance the many perspectives of stakeholders in this heterogeneous community with the necessarily varied prescriptions for producing high-quality systems. We develop an IS quality model, which distills determinants of IS product quality into effects attributable to people, processes, and practices and denote that IS success results from the combination of discernible IS quality and stakeholders’ perceptions of IS quality. This chapter serves as a general introduction to the detailed analyses of topics that follow in subsequent chapters but also provides insights that are not covered elsewhere in the book.

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