The Experts below are selected from a list of 635346 Experts worldwide ranked by ideXlab platform
Ruth Raventos - One of the best experts on this subject based on the ideXlab platform.
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roles as entity types a conceptual modelling pattern
Lecture Notes in Computer Science, 2004Co-Authors: Jordi Cabot, Ruth RaventosAbstract:Roles are meant to capture dynamic and temporal aspects of real-world objects. The role concept has been used with many semantic meanings: dynamic class, aspect, perspective, interface or mode. This paper identifies common semantics of different role models found in the literature. Moreover, it presents a conceptual modelling pattern for the role concept that includes both the static and dynamic aspects of roles. A conceptual modelling pattern is aimed at representing a specific Structure of Knowledge that appears in different domains. In particular, we adapt the pattern to UML. The use of this pattern eases the definition of roles in conceptual schemas. In addition, we describe the design of schemas defined using our pattern in order to implement them in any object-oriented language. We also discuss the advantages of our approach over previous ones.
Martin P Fritze - One of the best experts on this subject based on the ideXlab platform.
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methodological research on partial least squares structural equation modeling pls sem
Internet Research, 2019Co-Authors: Gohar Feroz Khan, Marko Sarstedt, Christian M Ringle, Joseph F Hair, Wenlung Shiau, Martin P FritzeAbstract:The purpose of this paper is to explore the Knowledge infraStructure of methodological research on partial least squares structural equation modeling (PLS-SEM) from a network point of view. The analysis involves the Structures of authors, institutions, countries and co-citation networks, and discloses trending developments in the field.,Based on bibliometric data downloaded from the Web of Science, the authors apply various social network analysis (SNA) and visualization tools to examine the Structure of Knowledge networks of the PLS-SEM domain. Specifically, the authors investigate the PLS-SEM Knowledge network by analyzing 84 methodological studies published in 39 journals by 145 authors from 106 institutions.,The analysis reveals that specific authors dominate the network, whereas most authors work in isolated groups, loosely connected to the network’s focal authors. Besides presenting the results of a country level analysis, the research also identifies journals that play a key role in disseminating Knowledge in the network. Finally, a burst detection analysis indicates that method comparisons and extensions, for example, to estimate common factor model data or to leverage PLS-SEM’s predictive capabilities, feature prominently in recent research.,Addressing the limitations of prior systematic literature reviews on the PLS-SEM method, this is the first study to apply SNA to reveal the interrelated Structures and properties of PLS-SEM’s research domain.
Afsaneh Bakhtiari - One of the best experts on this subject based on the ideXlab platform.
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comparison of competitive cognitive models in explanation of women breast cancer screening behaviours using structural equation modelling health belief model and theory of reasoned action
European Journal of Cancer Care, 2020Co-Authors: Mojgan Firouzbakht, Karimollah Hajiantilaki, Afsaneh BakhtiariAbstract:INTRODUCTION The efficacy of the theory of reasoned action (TRA), compared with the health belief model (HBM), has not been fully elucidated in screening practices. METHODS This population-based cross-sectional study was conducted with samples of 500 women aged 35-85 years, in the north of Iran. The data of demographic characteristics, awareness, health belief, subjective norms and screening behaviours were collected using standard instruments. Structural equation modelling (SEM) was applied to estimate the pathways of regression coefficients. RESULTS The model that incorporated the health belief and the standardised coefficient of the Knowledge scores influenced significantly on the health belief perception (beta = 0.375), and consequently, the health belief directly affected screening behaviours (beta = 0.73). In contrast, In TRA model, while the direct effect of Knowledge on intention was negligible it has a greater indirect effect by mediating health belief and subjective norms (indirect beta = 0.35) on behaviour intention. A high coefficient of intention was observed by subjective norms (beta = 0.626), and the intention has a great positive effect on screening behaviour (beta = 0.601). All fitting indexes were quietly improved in the TRA model as compared with HBM. CONCLUSION Thus, the unifying Structure of Knowledge, health belief, subjective norms and intention improves the predictor power in breast cancer screening behaviours.
Jordi Cabot - One of the best experts on this subject based on the ideXlab platform.
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roles as entity types a conceptual modelling pattern
Lecture Notes in Computer Science, 2004Co-Authors: Jordi Cabot, Ruth RaventosAbstract:Roles are meant to capture dynamic and temporal aspects of real-world objects. The role concept has been used with many semantic meanings: dynamic class, aspect, perspective, interface or mode. This paper identifies common semantics of different role models found in the literature. Moreover, it presents a conceptual modelling pattern for the role concept that includes both the static and dynamic aspects of roles. A conceptual modelling pattern is aimed at representing a specific Structure of Knowledge that appears in different domains. In particular, we adapt the pattern to UML. The use of this pattern eases the definition of roles in conceptual schemas. In addition, we describe the design of schemas defined using our pattern in order to implement them in any object-oriented language. We also discuss the advantages of our approach over previous ones.
Ke Wang - One of the best experts on this subject based on the ideXlab platform.
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the Structure of domain entity attribute semantic Knowledge base for natural language processing
DEStech Transactions on Computer Science and Engineering, 2017Co-Authors: W U Honglin, Ruoyi Zhou, Ke WangAbstract:The abstraction of semantic Knowledge in terms of entities, attributes, and action relationships can completely define two semantic forms of Knowledge: picture and situation. The Knowledge base proposed in this paper contained the entries that correspond to the components of the real world and the organizational network in which those entries are associated with the situation. The Knowledge base contains situation verb base, entity base, attribute base and attribute value base. Those terms are organized into a network according to the external feature of the entity and the relationship between entities and attributes. The Knowledge base also defines two sets of Knowledge networks. One is the entity attribute Knowledge frame which is integrated by the entity as a unit. It defines the frame of an entity corresponding to the real object. It embeds the slot into the entity, and points out the possible values of each attribute slot. The other is the collocation frame which is integrated by the verb as the core unit. The Knowledge resource is stored in XML format which could hierarchically represent the Structure of Knowledge framework. It could support the addition and deletion of Knowledge resources making the continuous construction and expansion of the Knowledge base possible. The abstracts of Knowledge in this paper reproduced the complete process of language comprehension, which can be well applied to language analysis.
