Formalizing Mappings to Optimize Automated Schema Alignment: Application to Rare Diseases.
In the era of data sharing and systems interoperability, the automation of data schema alignment has become a priority. Discovering data mappings is the aim of many alignment approaches that have been described in the literature and the effectiveness of which depends on data specifications. In this...
| Publicado en: | Studies in Health Technology & Informatics Vol. 205; pp. 283 - 288 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=116234590&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 116234590 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2014 vid: 205 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 116234590 116234590 116234590 10.3233/978-1-61499-432-9-283 116234590 ppf: 283 ppct: 5 formats: tig: atl: Formalizing Mappings to Optimize Automated Schema Alignment: Application to Rare Diseases. aug: au: MAAROUFI, Meriem CHOQUET, Rémy LANDAIS, Paul JAULENT, Marie-Christine affil: Banque Nationale de Données Maladies Rares, Hôpital Necker Enfants Malades, Assistance Publique des Hôpitaux de Paris, Paris, France sug: subj: Rare Diseases Maps Elements Arterial Pressure Literature ab: In the era of data sharing and systems interoperability, the automation of data schema alignment has become a priority. Discovering data mappings is the aim of many alignment approaches that have been described in the literature and the effectiveness of which depends on data specifications. In this context, we propose a method for mappings formalization that allows automated data integration processes optimization. This method, involving both data element level and value element level, allows an automated inference of mappings expressed by rules. In this paper, we start by describing the methods used to achieve this mappings formalization. Then, we explain how it has been validated by characterizing data from two use cases. We end up by discussing the objectives of the proposed formalization. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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