EgoIR: An OntologyBased Legal Information Retrieval System to Improve the Information Access in eGov - PowerPoint PPT Presentation

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EgoIR: An OntologyBased Legal Information Retrieval System to Improve the Information Access in eGov

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Title: EgoIR: An OntologyBased Legal Information Retrieval System to Improve the Information Access in eGov


1
EgoIR An Ontology-Based Legal Information
Retrieval System to Improve the Information
Access in e-Government
Asunción Gómez-Pérez, Fernando Ortiz-Rodríguez,
Boris Villazón-Terrazas Universidad Politécnica
de Madrid Facultad de Informática. Campus de
Montegancedo, s/n. 28660 Boadilla del Monte,
Madrid, Spain 34913367467 asun, fortiz,
bvillazon_at_fi.upm.es
In this paper, we present EgoIR, an approach for
retrieving legal information based on ontologies
this approach has been developed with Legal
Ontologies to be deployed within the egovernment
context.
Architecture
  • This system is the result of integrating
    Ontological Workbench WebODE, and a text search
    engine library, Lucene.
  • Ontology Server. This module defines how the
    knowledge is structured in the application
    domain. This module includes the Legal Ontologies
    within WebODE.
  • Search Server. This module is based on Lucene
    and processes the Legal Document Base to create
    internally access structures. These structures
    (called indices) allow fast document location and
    are stored locally in the file system of the
    operating system.
  • Search Client. This module incorporates two
    sub-modules a Query Builder and a Document
    Viewer. This module describes also a procedural
    mapping that makes possible the interoperability
    between WebODE and Lucene.

Legal Ontologies
  • Legal Ontologies were built to represent the
    real-state transactions in the Spanish Government
    domain. These Legal Ontologies were developed
    with knowledge acquired by experts from academic
    and private sectors and built with the
    methodology METHONTOLOGY and the workbench
    WebODE.
  • Eleven ontologies have been developed person,
    civil personality, organization, location, tax,
    contract model, jurisprudence, Real-estate
    transaction verifications, Real-estate,
    legislation, and Real-estate transaction.

User Interface
Ontology Browsing Area
Document Information
Query Construction Area
This product includes software developed by the
Apache Software Foundation (http//www.apache.org/
).
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