Integrating Knowledge Sources

2013 ◽  
Vol 9 (1) ◽  
pp. 60-75
Author(s):  
Hayden Wimmer ◽  
Victoria Yoon ◽  
Roy Rada

There has been a plethora of research in the area of knowledge portals, knowledge warehouses, ontologies, ontology creation and mapping, as well as the automatic creation and mapping of ontologies. While research exists in each respective area there is a lack of conceptual models that will integrate ontologies as a tool for disparate data source integration into knowledge portals or enterprise knowledge warehouses. The purpose of this work is to discuss different tools that have been developed in academic research and provide a conceptual model of how to implement these tools in relation to knowledge portals and warehouses.

2010 ◽  
Vol 21 (3) ◽  
pp. 36-68 ◽  
Author(s):  
Yuan An ◽  
Xiaohua Hu ◽  
Il-Yeol Song

This paper describes a round-trip engineering approach for incrementally maintaining mappings between conceptual models and relational schemas. When either schema or conceptual model evolves to accommodate new information needs, the existing mapping must be maintained accordingly to continuously provide valid services. In this paper, the authors examine the mappings specifying “consistent” relationships between models. First, they define the consistency of a conceptual-relational mapping through “semantically compatible” instances. Next, the authors analyze the knowledge encoded in the standard database design process and develop round-trip algorithms for incrementally maintaining the consistency of conceptual-relational mappings under evolution. Finally, they conduct a set of comprehensive experiments. The results show that the proposed solution is efficient and provides significant benefits in comparison to the mapping reconstructing approach.


Author(s):  
William J. McIver ◽  
Karim Keddara ◽  
Christian Och ◽  
Roger King ◽  
Clarence A. Ellis ◽  
...  

2014 ◽  
Vol 543-547 ◽  
pp. 2937-2940
Author(s):  
Xiao Xiao Liang ◽  
Shun Min Wang ◽  
Chong Gang Wei ◽  
Chuang Shen

According to the distribution, autonomy and heterogeneity of the university database, we designed the structure, main arithmetic, query distribution device, result processor and wrapper of the university heterogeneous data integration middle ware by using Java, XML and middle ware. We emphasized on introducing the designation of query distribution device, result processor and wrapper.


2018 ◽  
Vol 31 (3) ◽  
pp. 326-342 ◽  
Author(s):  
Pierre-Luc Fournier ◽  
Marie-Hélène Jobin

Purpose The purpose of this paper is to study the factors influencing doctors’ involvement in Lean change initiatives in public healthcare organizations in Canada. Design/methodology/approach An inductive research was conducted over a three-year span studying Lean implementation across three healthcare organizations in Canada. Various interviews were conducted with healthcare actors. Through analytical induction, analysis of the data allowed for multiple factors to be triangulated from which a conceptual model was developed. Findings Fifty-four interviews with 18 Lean healthcare actors allowed for the identification of ten factors possibly influencing the commitment of doctors towards Lean change. These factors are categorized into pre-change antecedents and change antecedents. Also, the level of transformational leadership demonstrated by a project manager was shown to potentially moderate the effect of medical behavioral support for change on change outcomes. These findings allowed us to develop a conceptual model of medical commitment and its impact of Lean change outcomes. Originality/value The paper investigates the role doctors play in Lean implementation, currently an important issue discussed among healthcare actors and researchers. Yet, very little academic research has been published on this subject.


Author(s):  
Зоя Васильева ◽  
Zoya Vasil'eva ◽  
Павел Вчерашний ◽  
Pavel Vcherashniy ◽  
Ирина Филимоненко ◽  
...  

The monograph developed: a conceptual model of multi-sector development of the economy of the raw material region; a method of assessing the potential of technological development of the region for "pulling" production chains of advanced technologies: a method of developing scenario options for the development of new sectors of the economy: a quasi-dynamic model of predicting the parameters of new knowledge sources: a method of assessing the integrated effects of technological development; diagnostics of promising technologies for the formation of new sectors of the economy of the Krasnoyarsk region and the forecast until 2030. The monograph can be useful for researchers, specialists involved in the development of the sector economy, as well as teachers, graduate students and masters of economic specialties.


2010 ◽  
Vol 24 (2) ◽  
pp. 127-156 ◽  
Author(s):  
Paul Salmon ◽  
Scott Hanneman ◽  
Brandon Harwood

We reviewed and summarize the extant literature on associative/dissociative cognitive strategies used by athletes and others in circumstances necessitating periods of sustained attention. This review covers studies published since a prior publication by Masters and Ogles (1998), and, in keeping with their approach, offers a methodological critique of the literature. We conclude that the distinction between associative and dissociative strategies has outlived its usefulness since initially proposed in an earlier era of ground-breaking research by Morgan and Pollock (1977) that was influenced to some extent by psychodynamic thinking. In recent years there has been an evolutionary shift in concepts of sustained attention toward mindfulness—moment-by-moment attention—that has had a significant impact on conceptual models and clinical practice in diverse areas including stress management, psychotherapy, and athletic performance. We propose that future research on cognitive activity in sustained performance settings be embedded in a mindfulness-based conceptual model.


2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
João V. Vieira ◽  
Sérgio Deodato ◽  
Felismina Mendes

Introduction. Intensive care units are systems organized for the provision of care to patients in critical situations. In general, it is suggested that intensive care consists of a multidisciplinary and interprofessional specialty. Nevertheless, the predominance, relative to the professions that incorporate these units, falls on nurses. A conceptual model of nursing provides a framework for reflection, observation, and interpretation of phenomena and, specifically, it provides guidelines and guidance for aspects of clinical practice. Objective. To understand the applicability of conceptual models of nursing in intensive care units. Method. Review of the literature following the Scoping Review protocol of the Joanna Briggs Institute. The research was performed in CINAHL, Cochrane, Pubmed, Scopus, and Web of Science to identify studies published prior to 2021. Fourteen studies were selected. Results. There is no conceptual model of nursing universally accepted as ideal for intensive care units. However, there is unanimity in the identification of several benefits associated with the application of a conceptual model of nursing in the care of critically ill patients. Conclusion. For the selection of a conceptual model of nursing for these contexts, the focus should be on the person and the choice should fall on the model that is most appropriate to the patient, and not on the philosophy that supports the model. Considering the nature of care, the nursing team can select a model or a combination of models.


Knowledge transfer is vital for the successful organization. Majority of previous studies focused on business and educational organization. Few in the field dealt with knowledge transfer in hospitals. This study aims to develop a conceptual model for knowledge transfer in hospitals. Based on the literature review, this study proposes a conceptual framework for knowledge transfer motivation in hospitals based on three motivational aspects; (i) the extrinsic motivational factors such as the promotions and appraisals, (ii) the intrinsic motivational factors such as the altruism, and absorptive capacity, and (iii) the ideal distribution of extrinsic and intrinsic based on the quality and quantity of knowledge transfer that conducted by the knowledge sources and recipients. The conceptual model was tested using a data collected for a pilot study.


2022 ◽  
Vol 11 (1) ◽  
pp. 54
Author(s):  
A. Yair Grinberger ◽  
Marco Minghini ◽  
Godwin Yeboah ◽  
Levente Juhász ◽  
Peter Mooney

The academic community frequently engages with OpenStreetMap (OSM) as a data source and research subject, acknowledging its complex and contextual nature. However, existing literature rarely considers the position of academic research in relation to the OSM community. In this paper we explore the extent and nature of engagement between the academic research community and the larger communities in OSM. An analysis of OSM-related publications from 2016 to 2019 and seven interviews conducted with members of one research group engaged in OSM-related research are described. The literature analysis seeks to uncover general engagement patterns while the interviews are used to identify possible causal structures explaining how these patterns may emerge within the context of a specific research group. Results indicate that academic papers generally show few signs of engagement and adopt data-oriented perspectives on the OSM project and product. The interviews expose that more complex perspectives and deeper engagement exist within the research group to which the interviewees belong, e.g., engaging in OSM mapping and direct interactions based on specific points-of-contact in the OSM community. Several conclusions and recommendations emerge, most notably: that every engagement with OSM includes an interpretive act which must be acknowledged and that the academic community should act to triangulate its interpretation of the data and OSM community by diversifying their engagement. This could be achieved through channels such as more direct interactions and inviting members of the OSM community to participate in the design and evaluation of research projects and programmes.


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