2018
DOI: 10.1177/1460458218775147
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Experimental evaluation of ontology-based HIV/AIDS frequently asked question retrieval system

Abstract: This study presents the results of experimental evaluations of an ontology-based frequently asked question retrieval system in the domain of HIV and AIDS. The main purpose of the system is to provide answers to questions on HIV/AIDS using ontology. To evaluate the effectiveness of the frequently asked question retrieval system, we conducted two experiments. The first experiment focused on the evaluation of the quality of the ontology we developed using the OQuaRE evaluation framework which is based on software… Show more

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Cited by 4 publications
(7 citation statements)
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References 27 publications
(27 reference statements)
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“…We used Text2Onto 34,35 tool to build the corpus from the CPGs. The CQs were used to identify terms in the corpus that are relevant to pneumonia diagnosis.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…We used Text2Onto 34,35 tool to build the corpus from the CPGs. The CQs were used to identify terms in the corpus that are relevant to pneumonia diagnosis.…”
Section: Methodsmentioning
confidence: 99%
“…These CPGs came from Cochrane Collaboration, 25 National Institute for Health and Care Excellence (NICE), 26 Infectious Diseases Society of America (IDSA), 27 European Society of Clinical Microbiology and Infectious Diseases (ESCMID), 28 Australian Society for Infectious Diseases (ASID), 29 Canadian Respiratory Guidelines (CTS), 30 Pulmonary and Critical Care Medicine (PulmCCM), 31 American Thoracic Society (ATS), 32 and British Thoracic Society (BTS). 33 We used Text2Onto 34,35 tool to build the corpus from the CPGs. The CQs were used to identify terms in the corpus that are relevant to pneumonia diagnosis.…”
Section: Phase 2: Building Corpus and Extraction Of Termsmentioning
confidence: 99%
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“…The development of novel information technology tools in order to support online HIV consumer health is another research path holding great potential. Current research in this area includes: the development of an ontology-based FAQ query system for HIV/AIDS information [39], future versions of which could potentially be incorporated into GSN app sexual health information sections; continued research into social media data mining and monitoring to help make informed decisions and strategies concerning online HIV information materials [20,27,28]; and the creation of automated text summaries from health social media posts [40].…”
Section: Development Of Information Technology Tools To Support Online Hiv Informationmentioning
confidence: 99%
“…Modelling ontology is a time-taking process (Walisadeera et al, 2013b) and hence requires appropriate tools (Ayalew et al, 2018). Further, constructing a domain ontology from the beginning is a complicated task.…”
Section: Ontology Modellingmentioning
confidence: 99%