Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…

The use of text mining tools can help librarians improve the precision of searches, increase search sensitivity, and translate search strategies across multiple research databases. When combined with the intuitive approaches that librarians commonly use, text mining tools help reduce biases by improving the objectivity, transparency, and…

A vast amount of published scholarly literature is generated every day. Today, it is one of the biggest challenges for organisations to extract knowledge embedded in published scholarly literature for business and research applications. Application of text mining is gaining popularity among researchers and applications are growing exponentially in…

The thriving developer community has a significant impact on the widespread use of R software. To better understand this community, we conducted a study analyzing all R packages available on CRAN. We identified the most popular topics of R packages by text mining the package descriptions. Additionally, using network centrality measures, we…

Background/purpose: The emergence of educational technologies has profoundly transformed teaching and learning methods in health sciences. This bibliometric study aims to identify the most widely used educational practices in this field between 2014 and 2024, exploring their applications within a constantly evolving technological context.…

SQL query writing is a challenging task for novices, even after considerable training. Query writing is a programming task and a translation task where the writer must translate a user's request for information into code that conforms to the structure, constraints, and syntax of an SQL SELECT statement and that references specific tables and…

Ontologies are emerging as best representation techniques for knowledge based context domains. The continuing need for interoperation, collaboration and effective information retrieval has lead to the creation of semantic web with the help of tools and reasoners which manages personalized information. The future of semantic web lies in an ontology…

Introduction: Computer scientists and other researchers often make their programs freely available online. If this software makes a valuable contribution inside or outside of academia then its creators may want to demonstrate this with a suitable indicator, such as download counts. Methods: Download counts, citation counts, labels and licenses…

The aim of this research is to investigate, through data analysis, the studies conducted on the use of educational digital games by children. As part of this study, a search of the Science Direct, Web of Science, and ERIC databases was performed to identify the studies on this topic published within the last decade (2007 and 2017). From this…

In response to the rapid growth of information in recent decades, knowledge-based systems have become an essential tool for organizational learning. The application of electronic performance-support systems in learning activities has attracted considerable attention from researchers. Nevertheless, the vast, ever-increasing amount of information is…

In this paper, a client/server information system for the management of data and its extraction from a database containing information for diploma works of students is proposed. The developed system provides users the possibility of accessing information about different characteristics of the diploma works, according to their specific interests.…

This paper describes the use and benefits of Microsoft's Adventure Works (AW) database to teach advanced database skills in a hands-on, realistic environment. Database management and querying skills are a key element of a robust information systems curriculum, and active learning is an important way to develop these skills. To facilitate active…

One of the most critical steps to integrating heterogeneous e-Business applications using different XML schemas is schema matching, which is known to be costly and error-prone. Many automatic schema matching approaches have been proposed, but the challenge is still daunting because of the complexity of schemas and immaturity of technologies in…

Geotechnical data are one of the most prevalent data types in civil engineering projects. The majority of the civil engineering projects that are in use today are designed using site-specific geotechnical data. The usage of geotechnical data is not limited to construction projects. This data is used in a wide range of applications, including…

Purpose: This paper aims to present the semantic content identifier (SCI), a permanent identifier, computed through a linear-time onion-peeling algorithm that enables the extraction of semantic features from a text, and the integration of this information within the permanent identifier. Design/methodology/approach: The authors employ SCI to…