Taxonomies in operation, design, and meta-design

Niederce, C.; Muscogiuri, C.; Hemmje, Matthias

doi:10.1109/wisew.2002.1177857

Cited by 3 publications

(4 citation statements)

References 15 publications

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“…Taxonomies form a well‐established basis for organising and accessing resources of information, content, knowledge and learning management systems. Moreover, they convey a common point of view and effective dialogue to the user community by fostering the development and usage of a shared vocabulary (Niedere, Muscogiuri & Hemmje, 2002).…”

Section: Personalised Web‐based Learning and Personalised Technologiesmentioning

confidence: 99%

“…Taxonomies can be used either for the managing of resources in the system or for the designing processes of applications. Niedere et al (2002) asserted taxonomies as ‘...the fundamental basis for the construction process itself and as the principal support for context‐driven access to the common meta‐model in this framework implementing the ontological commitment underlying the complete framework’ (p. 140). They also stated that ‘...taxonomy and classification, for operation, design and meta‐design, facilitates user empowerment with respect to system design and evolution by stressing the commonalities and synergies between the different processes’ (p. 141).…”

Section: Personalised Web‐based Learning and Personalised Technologiesmentioning

confidence: 99%

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Ontology and taxonomy design and development for personalised web‐based learning systems

Yalçinalp

Gülbahar

2010

Brit J Educational Tech

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Recent developments and new directions in education have emphasised learners' needs, profile and pedagogical aspects by focusing on learner-centered approaches in educational settings. e-Learning, on the other hand, guarantees learners the opportunity of learning in their own way, and leads to new considerations in course design. e-Learning is defined as the new form of learning, rather than the use of new technologies. It requires new considerations in educational aspects and delivery methods. Personalised technologies and new approaches such as the use of ontologies and Semantic Webs in e-learning are some of the next challenges for both education and society in the future. This paper provides an overview and rationale for personalised web-based learning and personalised technologies. Also, it presents ontologies by emphasising the various usages of this term in a variety of fields, the main ontology structures, methodologies and design principles, and its applications in education.

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Section: Personalised Web‐based Learning and Personalised Technologiesmentioning

confidence: 99%

Section: Personalised Web‐based Learning and Personalised Technologiesmentioning

confidence: 99%

Ontology and taxonomy design and development for personalised web‐based learning systems

Yalçinalp

Gülbahar

2010

Brit J Educational Tech

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“…Taxonomy prescribes structure and terminology in a tree-like structure (classify a set of things). Moreover, taxonomies provide a common point of view of classes, subclasses and the relationship among them, it is also considered as the backbone of the ontology [32]. A taxonomy for patient ontology is presented in Figure 4.…”

Section: 𝐴𝑣𝑒𝑟𝑎𝑔𝑒𝑆𝑐𝑜𝑟𝑒 = 𝛴 𝐶𝑜𝑛𝑐𝑒𝑝𝑡𝑆𝑐𝑜𝑟𝑒 𝛴 𝐶𝑜𝑛𝑐𝑒𝑝𝑡𝑠mentioning

confidence: 99%

An IoT-Enabled Ontology-Based Intelligent Healthcare Framework for Remote Patient Monitoring

Zeshan,

Ahmad,

Babar

et al. 2023

IEEE Access

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The advancement in automation and medical care technologies in recent decade has changed the traditional medical treatment of patients. Although, these technologies have increased the treatment's precision but the growing number and the complexity of IoT healthcare devices are impacting accuracy along with several other challenges. Moreover, the use of different programming languages, operating platforms and data management methodologies are creating restrictions in safe exchange, integration and reuse of information across different applications. However, with the advent of the semantic web, the semantic technologies are growing in healthcare systems due to the capability of machine interpretation and processing by overcoming the restriction of languages and data heterogeneity. The most common shortcoming in the existing systems are the context-awareness and quality of services and the absence of rich patient ontology; leading towards low accuracy of results. To this aim, this paper provides a smart health framework, consisting on the collection and processing of IoT data (related to patient conditions and context). The framework is supported by the patient ontology along with SWRL rules for better decision making that consider different features (context-awareness and quality of services) differently that results in the improved accuracy. In the evaluation process the proposed work has achieved an accuracy of 89.81%. This work will help the practitioners to treat the patients in a better way.

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“…Other authoring tools enable e.g. setting up menus, building up taxonomies [15], classifying content as well as design-related information objects, and controlling the flow of the business process in the application.…”

Section: Query Conversionmentioning

confidence: 99%

Supporting model-based construction of semantic-enabled Web applications

Fuchs¹,

Niederée²,

Hemmje³

et al. 2003

Proceedings of the Fourth International Conference on Web Information Systems Engineering, 2003. WISE 2003.

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Semantic annotation of Web content is in the core of the current Semantic Web Activity. The operationalization of the Semantic Web raises the challenge on how to systematically integrate semantic annotations into generated Web application pages.In this paper, we present VizCo, a tool for systematically integrating RDF based semantically enriched application domain models into the process of setting up dynamically generated Web application user interfaces and supporting their evolution. The form-based Web pages are annotated based on the underlying domain model.Combined with further mapping tools, VizCo is used in our Web application development framework for coupling the domain model views and, indirectly, the underlying application data with other Web application components, especially with elements of the user interface. In contrast to a direct coupling with the application data an additional semantic layer is introduced. We follow a pragmatic approach that utilizes domain information extracted from application schemata and data as a starting point. Both the domain model and its coupling to the data source can be manually refined and extended. The couplings are dynamically translated into bi-directional data bindings at runtime.

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Taxonomies in operation, design, and meta-design

Cited by 3 publications

References 15 publications

Ontology and taxonomy design and development for personalised web‐based learning systems

Ontology and taxonomy design and development for personalised web‐based learning systems

An IoT-Enabled Ontology-Based Intelligent Healthcare Framework for Remote Patient Monitoring

Supporting model-based construction of semantic-enabled Web applications

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