scholarly journals Iterative querying of the semantic web

KWALON ◽  
2016 ◽  
Vol 21 (1) ◽  
Author(s):  
Reinoud Bosch ◽  
Ruben Verborgh

Summary An iterative mixed-methods research cycle is proposed as an approach to automatically querying the Semantic Web. To give an indication of what codification of this iterative research cycle could look like in practice, a dynamic iterator pipeline is presented that has been developed for efficient and effective iterative queries of the Semantic Web. The development of the logic of the iterative research cycle could be advanced by providing detailed and systematic answers to the question of how researchers go about answering questions by combining information from different sources on the Web.

2018 ◽  
Vol 62 (7) ◽  
pp. 978-997 ◽  
Author(s):  
Nataliya Ivankova ◽  
Nancy Wingo

Mixed methods research has the capacity to intersect with other approaches, such as action research, by adding a solid methodological foundation and creating an integrated approach for addressing complex practical problems. Conceptual, philosophical, and procedural similarities between mixed methods and action research make integration possible and justifiable. Combining the two approaches can produce more scientifically sound and transferable results by synergistically integrating qualitative stakeholder engagement with quantitative outcomes to inform action/intervention planning, implementation, evaluation, and monitoring. We describe similarities between the two approaches, discuss advantages of applying mixed methods in action research, and illustrate applications using a methodological framework that captures their synergistic combination. Using this framework, we describe how two studies employed mixed methods in various phases of the action research cycle.


2019 ◽  
pp. 249-257
Author(s):  
Yassine Laadidi ◽  
Mohamed Bahaj

The evolution of web technologies and the data we are manipulating announce profound changes on Business Intelligence (BI) systems and open up important researches and innovations particularly in multidimensional data modeling and data integration. The emergence of the semantic Web highlights the need of including external data sources in the BI system. The semantic web came with Resource Description Framework (RDF) model to describe data over the Web by annotating resources with semantics and properties and consequently establishing reasoning mechanisms. However, integrating and/or analyzing information from Wide World Sources still a very challenging process because of their “unpredictability” and heterogeneity. Consequently, the transition to an open BI/SW system is required to handle automatic alteration on structures and enabling discovery of multidimensional entities over multiple Web sources. In this paper, we introduce our prospective approach and architecture for including external data sources in an open BI/SW system and we provide an automatic method aimed to define multidimensional entities and properties over different sources for data acquisition and data analysis requests.


2019 ◽  
Vol 11 (3) ◽  
pp. 255-276 ◽  
Author(s):  
Carla Ginn ◽  
◽  
Karen Benzies ◽  
Leslie-Anne Keown ◽  
Shelley Raffin Bouchal ◽  
...  

2018 ◽  
Vol 10 (1) ◽  
pp. 283-295
Author(s):  
Katrin Niglas ◽  
◽  
Meril Ümarik ◽  
Maarja Tinn ◽  
Ivor Goodson ◽  
...  

2019 ◽  
Author(s):  
Tarun Khanna ◽  
Karim R. Lakhani ◽  
Shubhangi Bhadada ◽  
Nabil Khan ◽  
Saba Kohli Davé ◽  
...  

Author(s):  
Jeasik Cho

This chapter discusses three ongoing issues related to the evaluation of qualitative research. First, the chapter considers whether a set of evaluation criteria is either determinative or changeable. Due to the evolving nature of qualitative research, it is likely that the way in which qualitative research is evaluated can change—not all at once, but gradually. Second, qualitative research has been criticized by newly resurrected positivists whose definitions of scientific research and evaluation criteria are narrow. “Politics of evidence” and a recent big-tent evaluation strategy are examined. Last, this chapter analyzes how validity criteria of qualitative research are incorporated into the evaluation of mixed methods research. The elements of qualitative research seem to be fairly represented but are largely treated as trivial. A criterion, the fit of research questions to design, is identified as distinctive in the review guide of the Journal of Mixed Methods Research.


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