2014
DOI: 10.1016/j.eswa.2014.02.045
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An overview of ontologies and data resources in medical domains

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Cited by 67 publications
(43 citation statements)
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“…Nowadays, the information stored in ontology-based knowledge bases has significantly grown and are being applied to different domains such as recommendation (Amini, Ibrahim, Othman, & Nematbakhsh, 2015; Carrer-Neto, Hernández-Alcaraz, Valencia-García, & García- Sánchez, 2012;Colombo-Mendoza, Valencia-García, Rodríguez-González, Alor-Hernández, & Samper-Zapater, 2015), information retrieval (Rodríguez-García, Valencia-García, García-Sánchez, & Samper-Zapater, 2014b), innovation management (Rodríguez-García, Valencia-García, Alcaraz-Mármol, & Carralero, 2014a), sentiment analysis (Peñalver-Martinez et al, 2014) , medicine (Ivanović & Budimac, 2014; Ruiz-Martínez, Valencia-García, Martínez-Béjar, & Hoffmann, 2012), human perception (Prieto-González, Stantchev, & Colomo-Palacios, 2014), and Customer Relationship Management (CRM) (García-Sánchez, Valencia-García, Martínez-Béjar, & Fernández-Breis, 2009) to mention but a few.…”
Section: Introductionmentioning
confidence: 98%
“…Nowadays, the information stored in ontology-based knowledge bases has significantly grown and are being applied to different domains such as recommendation (Amini, Ibrahim, Othman, & Nematbakhsh, 2015; Carrer-Neto, Hernández-Alcaraz, Valencia-García, & García- Sánchez, 2012;Colombo-Mendoza, Valencia-García, Rodríguez-González, Alor-Hernández, & Samper-Zapater, 2015), information retrieval (Rodríguez-García, Valencia-García, García-Sánchez, & Samper-Zapater, 2014b), innovation management (Rodríguez-García, Valencia-García, Alcaraz-Mármol, & Carralero, 2014a), sentiment analysis (Peñalver-Martinez et al, 2014) , medicine (Ivanović & Budimac, 2014; Ruiz-Martínez, Valencia-García, Martínez-Béjar, & Hoffmann, 2012), human perception (Prieto-González, Stantchev, & Colomo-Palacios, 2014), and Customer Relationship Management (CRM) (García-Sánchez, Valencia-García, Martínez-Béjar, & Fernández-Breis, 2009) to mention but a few.…”
Section: Introductionmentioning
confidence: 98%
“…Moreover, this paper tackles the above problem by using the Description Logic (DL) paradigm as enterprises are increasingly using OWL (web ontology language) to store, use and transfer data and knowledge through the web and OWL is based on DL which is a fragment of first order logic (FOL). The proposed approach can be widely applicable in E-Commerce 8 , product design 9 , product development 10 and medical domain 11 , where new information is being gathered with time. Ontology based knowledge merging approach, proposed here, will help in making their knowledge bases coherent.…”
Section: Achieve Logically Consistent Mappingsmentioning
confidence: 99%
“…The NCI Thesaurus is a description logic-based terminology that is a component of the US National Cancer Institute (NCI) Bioinformatics ca CORE distribution [9]. 7) Unified Medical Language System: Many studies evaluating the usefulness of the UMLS as a terminology and knowledge resource for tasks ranging from terminology translation to domain ontology construction have been published in recent years [9]. 8) International Classification of Diseases (ICD): The newest edition (ICD-10) is divided into 21 chapters: (Infections, Neoplasm, Blood Diseases, Endocrine Diseases, etc.…”
Section: Health Domain Ontologiesmentioning
confidence: 99%
“…The chapters are subdivided into homogeneous "blocks" of three-character categories. most of the three character categories are subdivided by means of a fourth, numeric character after a decimal point, allowing up to 10 subcategories [9] [11].…”
Section: Health Domain Ontologiesmentioning
confidence: 99%