Methodology of Creating Ontology of Information Science (OIS)

Author(s):  
Ahlam F. Sawsaa ◽  
Joan Lu

In the previous chapter we have discussed the main fields related to the research: ontological engineering, knowledge management, and Virtual communities of practice. As stated before, our concern is representing domain knowledge by creating OIS ontology. After reviewing the ontology literature to find an appropriate theoretical perspective focusing on the content-related variables for theoretical model construction, we found that theories can help to define formal ontological properties that contribute to characterising the concepts. Meanwhile, ontologists nowadays have a choice of formal frameworks which derive from formal logic, algebra, category theory, set theory and Mereotopology. However, to gain a better understand of OIS ontology development and its role in semantic web, the framework is established to describe the main theoretical base. The theoretical base of our framework is based on ontology theoretic.

2013 ◽  
Vol 3 (4) ◽  
pp. 52-80
Author(s):  
Ahlam F. Sawsaa ◽  
Joan Lu

Information Science (IS) is one of the areas that need a unified ontology model to facilitate information in order to access the heterogeneous data resources, and share a common understanding of the domain knowledge. The aim of the study is to develop a generic model of ontology that serves as a foundation of knowledge modelling for applications and aggregation with other ontologies. This study adopts the Methontology methodology to develop an Ontology of Information Science (OIS). To support ontology development, the virtual community of practice of Information science (Ontocop) was employed. The Ontology was coded using Protégé and the OWL web ontology language. The main achievement of the study is that a new model of Information Science Ontology (OIS) has been constructed, which is a generic model that contains only the key objects and associated attributes with their relationships. The model defines the 706 concept, which will be widely used in Information Science applications. The research reveals that OIS ontology is a model that meets the ontology quality criteria for the subject area. It is concluded that OIS ontology unifies information science knowledge, which is composed of Library, Computer, and Archival science, by creating a theoretical base that is useful for further practical systems. The OIS ontology can be reused as the basis for any domain development.


2014 ◽  
Vol 4 (1) ◽  
pp. 1-28
Author(s):  
Ahlam F. Sawsaa ◽  
Joan Lu

Information Science (IS) is one of the areas that need a unified ontology model to facilitate information in order to access the heterogeneous data resources, and share a common understanding of the domain knowledge. The aim of the study is to develop a generic model of ontology that serves as a foundation of knowledge modelling for applications and aggregation with other ontologies. This study adopts the Methontology methodology to develop an Ontology of Information Science (OIS). To support ontology development, the virtual community of practice of Information science (Ontocop) was employed. The Ontology was coded using Protégé and the OWL web ontology language. The main achievement of the study is that a new model of Information Science Ontology (OIS) has been constructed, which is a generic model that contains only the key objects and associated attributes with their relationships. The model defines the 706 concept, which will be widely used in Information Science applications. The research reveals that OIS ontology is a model that meets the ontology quality criteria for the subject area. It is concluded that OIS ontology unifies information science knowledge, which is composed of Library, Computer, and Archival science, by creating a theoretical base that is useful for further practical systems. The OIS ontology can be reused as the basis for any domain development.


10.28945/4505 ◽  
2020 ◽  
Vol 15 ◽  
pp. 039-064
Author(s):  
Rogerio Ferreira da Silva ◽  
Itana Maria de Souza Gimenes ◽  
José Carlos Maldonado

Aim/Purpose: This paper presents a study of Virtual Communities of Practice (VCoP) evaluation methods that aims to identify their current status and impact on knowledge sharing. The purposes of the study are as follows: (i) to identify trends and research gaps in VCoP evaluation methods; and, (ii) to assist researchers to position new research activities in this domain. Background: VCoP have become a popular knowledge sharing mechanism for both individuals and organizations. Their evaluation process is complex; however, it is recognized as an essential means to provide evidences of community effectiveness. Moreover, VCoP have introduced additional features to face to face Communities of Practice (CoP) that need to be taken into account in evaluation processes, such as geographical dispersion. The fact that VCoP rely on Information and Communication Technologies (ICT) to execute their practices as well as storing artifacts virtually makes more consistent data analysis possible; thus, the evaluation process can apply automatic data gathering and analysis. Methodology: A systematic mapping study, based on five research questions, was carried out in order to analyze existing studies about VCoP evaluation methods and frameworks. The mapping included searching five research databases resulting in the selection of 1,417 papers over which a formal analysis process was applied. This process led to the preliminary selection of 39 primary studies for complete reading. After reading them, we select 28 relevant primary studies from which data was extracted and synthesized to answer the proposed research questions. Contribution: The authors of the primary studies analyzed along this systematic mapping propose a set of methods and strategies for evaluating VCoP, such as frameworks, processes and maturity models. Our main contribution is the identification of some research gaps present in the body of studies, in order to stimulate projects that can improve VCoP evaluation methods and support its important role in social learning. Findings: The systematic mapping led to the conclusion that most of the approaches for VCoP evaluation do not consider the combination of data structured and unstructured metrics. In addition, there is a lack of guidelines to support community operators’ actions based on evaluation metrics.


Author(s):  
Tim Button ◽  
Sean Walsh

In this chapter, the focus shifts from numbers to sets. Again, no first-order set theory can hope to get anywhere near categoricity, but Zermelo famously proved the quasi-categoricity of second-order set theory. As in the previous chapter, we must ask who is entitled to invoke full second-order logic. That question is as subtle as before, and raises the same problem for moderate modelists. However, the quasi-categorical nature of Zermelo's Theorem gives rise to some specific questions concerning the aims of axiomatic set theories. Given the status of Zermelo's Theorem in the philosophy of set theory, we include a stand-alone proof of this theorem. We also prove a similar quasi-categoricity for Scott-Potter set theory, a theory which axiomatises the idea of an arbitrary stage of the iterative hierarchy.


BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e046998
Author(s):  
Louise Shaw ◽  
Dana Jazayeri ◽  
Debra Kiegaldie ◽  
Meg Morris

IntroductionVirtual communities of practice (VCoPs) use a common online platform to provide healthcare professionals with the opportunity to access highly specialised knowledge, build a professional support network and promote the translation of research evidence into practice. There is limited reporting of how best to design and administer VCoPs within healthcare organisations. The primary aim of this scoping review is to identify the best methods used to establish and maintain VCoPs. Findings shall be used to develop a flexible framework to guide the establishment and facilitation of a VCoP for healthcare professionals to ensure the translation of falls prevention clinical guidelines into practice.Methods and analysisA five-stage scoping review process will be followed based on Arksey and O’Malley’s framework and refined by the Joanna Briggs Institute Methodology. An initial limited search of PubMed and Cumulative Index to Nursing and Allied Health Literature will identify relevant studies and assist with search term development. This will be followed by a search of five online databases to identify papers published from January 2010 until November 2020. Papers will be independently screened by two reviewers, and data extracted and analysed using a reporting framework. Qualitative data will be analysed thematically and numerical synthesis of the data will be conducted.Results and disseminationThe results of this scoping review will highlight the best ways to design and manage VCoPs in healthcare organisations. The findings will be presented at relevant stakeholder workshops, conferences and published in peer-reviewed journals.


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