Ontology Supported Information Systems: A Review

Padmavathi, T.; Krishnamurthy, M.

doi:10.1633/jistap.2014.2.4.5

Cited by 3 publications

(2 citation statements)

References 54 publications

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“…The inclusion of science and technology learning needs for young children is vital, considering the impactful role science and technology are likely to have for present and future generations (Hodson, 2010;İrez & Çakir, 2006;Mbajiorgu, 2019;Padmavathi & Krishnamurthy, 2014;Pepperell, 2003). Consequently, we sought to give considerate attention to developing children's potential in aspects that include the developmental domains, and in the disciplines of science and technology, while fostering strong links with family and school.…”

Section: Nurturing Growth and Sustaining Developmentmentioning

confidence: 99%

Towards Developing a Science-Language Learning Programme for the Equality of Sustainable Learning Opportunities for Young Children

Tlali

2023

Educ. res. soc. change.

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It is imperative to offer equal quality learning opportunities for young children at both deprived and advantaged early childhood development centres (ECDCs). To this end, substantive involvement by young children in the envisioned quality learning that should take place, even in constrained contexts, warrants thoughtful exploration. Consequently, this study investigated the development of young children's communication and mathematical skills to explore the affordances of the South African National Curriculum Framework for children from birth to 4 years in relation to incorporating science concepts. Our proposition for privileging science concepts relevant to early learning and development areas of the curriculum framework was premised on the urge to respond to young children's current learning needs in order to make learning in the future sustainable. We adopted a participatory action research design, undergirded by principles of intra-relationality, to develop an assessment and activity plan consistent with our proposition. Using the principles of free attitude interviews and brainstorming as techniques, rich qualitative data were generated during meetings, workshops, and reflection sessions with study team member participants. The team made the following observations and findings: the transition of young children from ECD to Grade R is marred by challenges that make the learning of young children beyond ECD unsustainable because of the absence of continual communication between the ECD and Grade R teachers and, to some extent, between the parents (home) and the ECDC. Through the knowledge gained from regular participatory action-oriented meetings, workshops, and reflections, the study contributed to the development of participants and benefited the ECDC involved in this study in several respects.

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Section: Nurturing Growth and Sustaining Developmentmentioning

confidence: 99%

Towards Developing a Science-Language Learning Programme for the Equality of Sustainable Learning Opportunities for Young Children

Tlali

2023

Educ. res. soc. change.

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“…Ontologies are being applied in a wide range of domains, such as finance [35][36][37], agriculture [19,38,39], e-government [40][41][42], education [43][44][45], and information technology [46][47][48].…”

Section: Applications Of Ontologiesmentioning

confidence: 99%

Application of ELECTRE algorithms in ontology selection.

Sooklall

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The field of artificial intelligence (AI) is expanding at a rapid pace. Ontology and the field of ontological engineering is an invaluable component of AI, as it provides AI the ability to capture and express complex knowledge and data in a form that encourages computation, inference, reasoning, and dissemination. Accordingly, the research and applications of ontology is becoming increasingly widespread in recent years. However, due to the complexity involved with ontological engineering, it is encouraged that users reuse existing ontologies as opposed to creating ontologies de novo. This in itself has a huge disadvantage as the task of selecting appropriate ontologies for reuse is complex as engineers and users may find it difficult to analyse and comprehend ontologies. It is therefore crucial that techniques and methods be developed in order to reduce the complexity of ontology selection for reuse. Essentially, ontology selection is a Multi-Criteria Decision-Making (MCDM) problem, as there are multiple ontologies to choose from whilst considering multiple criteria. However, there has been little usage of MCDM methods in solving the problem of selecting ontologies for reuse. Therefore, in order to tackle this problem, this study looks to a prominent branch of MCDM, known as the ELimination Et. Choix Traduisant la RÉalite (ELECTRE). ELECTRE is a family of decision-making algorithms that model and provide decision support for complex decisions comprising many alternatives with many characteristics or attributes. The ELECTRE algorithms are extremely powerful and they have been applied successfully in a myriad of domains, however, they have only been studied to a minimal degree with regards to ontology ranking and selection. In this study the ELECTRE algorithms were applied to aid in the selection of ontologies for reuse, particularly, three applications of ELECTRE were studied. The first application focused on ranking ontologies according to their complexity metrics. The ELECTRE I, II, III, and IV models were applied to rank a dataset of 200 ontologies from the BioPortal Repository, with 13 complexity metrics used as attributes. Secondly, the ELECTRE Tri model was applied to classify the 200 ontologies into three classes according to their complexity metrics. A preference-disaggregation approach was taken, and a genetic algorithm was designed to infer the thresholds and parameters for the ELECTRE Tri model. In the third application a novel ELECTRE model was developed, named ZPLTS-ELECTRE II, where the concept of Z-Probabilistic Linguistic Term Set (ZPLTS) was combined with the traditional ELECTRE II algorithm. The ZPLTS-ELECTRE II model enables multiple decision-makers to evaluate ontologies (group decision-making), as well as the ability to use natural language to provide their evaluations. The model was applied to rank 9 ontologies according to five complexity metrics and five qualitative usability metrics. The results of all three applications were analysed, compared, and contrasted, in order to understand the applicability and effectiveness of the ELECTRE algorithms for the task of selecting ontologies for reuse. These results constitute interesting perspectives and insights for the selection and reuse of ontologies.

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Two Ways for the Automatic Generation of Application Ontologies by Using BalkaNet

Mladenović¹,

Stankovic

Pajić

2020

International Journal on Semantic Web and Information Systems

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This article presents two methods for the automatic generation of application ontologies from the multilingual BalkaNet WordNets Web ontology language (OWL) representation. Both proposed methods are applied on the BalkaNet WordNets ontology for the Serbian language (SerWN). The first one uses only the SerWN, both for generating class hierarchy and instances of classes, while the other method combines the SerWN with a domain ontology. The first method was used to automatically generate the FoodOntology, whereas the second method to generate the ontology of rhetorical figures tropes. Preliminary evaluation results corroborate the soundness of the approach. Since BN consists of individual WNs for five Balkan languages and Czech, the methodology presented in this article can also be used for all these languages. The first method can also be used for other domains.

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Ontology Supported Information Systems: A Review

Cited by 3 publications

References 54 publications

Towards Developing a Science-Language Learning Programme for the Equality of Sustainable Learning Opportunities for Young Children

Towards Developing a Science-Language Learning Programme for the Equality of Sustainable Learning Opportunities for Young Children

Application of ELECTRE algorithms in ontology selection.

Two Ways for the Automatic Generation of Application Ontologies by Using BalkaNet

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