From ADL to OWLthe POSEACLE approach

  1. Fernández Breis, Jesualdo Tomás 1
  2. Valencia García, Rafael 1
  3. Maldonado, José Alberto 2
  4. Menárguez Tortosa, Marcos 1
  5. Vivancos Vicente, Pedro José 1
  1. 1 Universidad de Murcia
    info

    Universidad de Murcia

    Murcia, España

    ROR https://ror.org/03p3aeb86

  2. 2 Universidad Politécnica de Valencia
    info

    Universidad Politécnica de Valencia

    Valencia, España

    ROR https://ror.org/01460j859

Liburua:
XII Conferencia de la Asociación Española para la Inteligencia Artificial: (CAEPIA 2007). Actas
  1. Borrajo Millán, Daniel (coord.)
  2. Castillo Vidal, Luis (coord.)
  3. Corchado Rodríguez, Juan Manuel (coord.)

Argitaletxea: Universidad de Salamanca

ISBN: 978-84-611-8846-8,  978-84-611-8847-5

Argitalpen urtea: 2007

Alea: 1

Orrialdeak: 377-386

Biltzarra: Conferencia de la Asociación Española para la Inteligencia Artificial (12. 2007. Salamanca)

Mota: Biltzar ekarpena

DIALNET GOOGLE SCHOLAR

Laburpena

The lifelong clinical information of any person supported by electronic means configures his Electronic Health Record (EHR). This information is usually distributed among several independent and heterogeneous systems that may be syntactically or semantically incompatible. There are currently different standards for representing and exchanging EHR information among different systems. In advanced EHR approaches, clinical information is represented by means of archetypes. Most of these approaches use ADL to specify archetypes. In this work, Semantic Web technologies are used to specify clinical archetypes for advanced EHR architectures. The advantages of using OWL instead of ADL are described and discussed in this work.

Datuen iturria: Dialnet