Memorias de investigación
Communications at congresses:
EgoIR: ontology-based information retrieval intended for eGovernment

Research Areas
  • Artificial intelligence

Electronic Government (eGov) is a significant application field [CS03] for the transformations that governments and public administrations will have to undergo in the next decades. Therefore, is necessary to transform the semantic eGov from electronic service to networked societal guidance to achieve the eGovernance (i.e. application of ICT to steer or guide society so as to best public interests and achieve the common good). The eGov research needs to be based on a robust theory, on modelling approaches, and on planning. In this scenario, a crucial issue is to manage in different ways the legal knowledge to improve and create semantic applications. The advancing technologies are being able to deal with real world legal knowledge utilized by governments. In concrete, the Semantic Web [HBM02] has the capabilities to face this challenge. The application of the Semantic Web to the eGov domain is completely new. The Semantic Web is considered to be the infrastructure upon which all intelligent eGov applications will be built in the near future. Even though security issues are important for eGov domain application area, the scope of this paper only covers basic approaches about this topic. The remaining of this paper is organised as follows. In section 2, the related work is presented; in section 3, the EGODO Ontology is described; in section 4, the EgoIR information retrieval is shown; in section 5, improved services of EgoIR with a peer to peer are described. And finally, in section 6 is devoted to conclusions.
2nd International Applications of Semantic Technologies (AST) Workshop ¿ Informatik 2007
Bremen, Alemania
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  • coautor: Fernando Ortiz Rodríguez
  • Autor: Boris Marcelo Villazón Terrazas UPM
  • Autor: Raúl Antonio Palma De León UPM

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group (LIA). Laboratorio Inteligencia Artificial. Grupo de Ingeniería Ontológica
  • Departamento: Inteligencia Artificial