Ontology-Driven Information Retrieval for Healthcare Information System : A Case Study

Ibrahim, Aidarus M.; Hashi, Hussein A.; Mohamed, Abdullalem A.

doi:10.5121/ijnsa.2013.5105

Cited by 8 publications

(3 citation statements)

References 3 publications

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“…Data management. To manage large volumes of medical documentation, text classification, information extraction and text summarization can be used to generate category labels, informative keywords and simplified summaries [25], [56], [66], [67], [168] for management, while information retrieval systems, especially those systems based on semantic search [80], [169] and question answering [81], can be used in healthcare information systems to ease the retrieval process.…”

Section: B Hospital Managementmentioning

confidence: 99%

Natural Language Processing for Smart Healthcare

Zhou¹,

Yang²,

Shi³

et al. 2021

Preprint

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Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare scenarios. As an essential technology powered by AI, natural language processing (NLP) plays a key role in smart healthcare due to its capability of analysing and understanding human language. In this work we review existing studies that concern NLP for smart healthcare from the perspectives of technique and application. We focus on feature extraction and modelling for various NLP tasks encountered in smart healthcare from a technical point of view. In the context of smart healthcare applications employing NLP techniques, the elaboration largely attends to representative smart healthcare scenarios, including clinical practice, hospital management, personal care, public health, and drug development. We further discuss the limitations of current works and identify the directions for future works.

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Section: B Hospital Managementmentioning

confidence: 99%

Natural Language Processing for Smart Healthcare

Zhou¹,

Yang²,

Shi³

et al. 2021

Preprint

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“…Ontology is a broad term that includes a wide range of activities. It plays an important role in Semantic Web applications (Ibrahim, 2013). Ontology can provide semantics to the next generation of the Web.…”

Section: Definitionsmentioning

confidence: 99%

Developing an ontology for Greek mythology

Syamili

Rekha

2018

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Purpose The purpose of this study is to illustrate the development of ontology for the heroes of the ancient Greek mythology and religion. At present, a number of ontologies exist in different domains. However, ontologies of epics and myths are comparatively very few. To be more specific, nobody has developed such ontology for Greek mythology. This paper describes the attempts at developing ontology for Greek mythology to fill this gap. Design/methodology/approach This paper follows a combination of different methodologies, which is assumed to be a more effective way of developing ontology for mythology. It has adopted motivating scenario concept from Gruninger and Fox, developing cycle from Methontology and the analytico–synthetic approach from yet another methodology for ontology, and hence, it is a combination of three existing approaches. Findings A merged methodology has been adopted for this paper. The developed ontology was evaluated and made to meet with the information needs of its users. On the basis of the study, it was found that Greek mythology ontology could answer 62 per cent of the questions after first evaluation, i.e. 76 out of the 123 questions. The unanswered questions were analyzed in detail for further development of the ontology. The missing concepts were fed into the ontology; the ontology obtained after this stage was an exhaustive one. Practical implications This ontology will grow with time and can be used in semantic applications or e-learning modules related to the domain of Greek mythology. Originality/value This work is the first attempt to build ontology for Greek mythology. The approach is unique in that it has attempted to trace out the individual characteristics as well as the relationship between the characters described in the work.

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“…Its definition is not in our scope. We use a customization of the ontology presented in (Ibrahim et al, 2013). Concerning the configurable process models which are defined as a collection of variants, each variant must respect a fragment of the domain ontology.…”

Section: Domain Ontology For Semantic Validation Of Cpmmentioning

confidence: 99%

Ontology-Based Framework for Quality in Configurable Process Models

Faquih

Fredj

2017

Journal of Electronic Commerce in Organizations

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In recent years, business process modeling has increasingly drawn the attention of enterprises. As a result of the wide use of business processes, redundancy problems have arisen and researchers introduced the variability management, in order to enhance the business process reuse. The most approach used in this context is the Configurable Process Model solution, which consists in representing the variable and the fixed parts together in a unique model. Due to the increasing number of variants, the configurable models become complex and incomprehensible, and their quality is therefore impacted. Most of research work is limited to the syntactic quality of process variants. The approach presented in this paper aims at providing a novel method towards syntactic verification and semantic validation of configurable process models based on ontology languages. We define validation rules for assessing the quality of configurable process models. An example in the e-healthcare domain illustrates the main steps of our approach.

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Ontology-Driven Information Retrieval for Healthcare Information System : A Case Study

Cited by 8 publications

References 3 publications

Natural Language Processing for Smart Healthcare

Natural Language Processing for Smart Healthcare

Developing an ontology for Greek mythology

Ontology-Based Framework for Quality in Configurable Process Models

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