Home // ICAS 2013, The Ninth International Conference on Autonomic and Autonomous Systems // View article

Autonomic Ontologies for Governamental Knowledge Base

Authors:
Stainam Nogueira Brandao
Sérgio Assis Rodrigues
Tiago Silva
Luis Araujo
Jano Moreira de Souza

Keywords: Knowledge base; Linked Data; Autonomic Computing; Ontologies

Abstract:
Ontologies are used as models to represent the semantics of the underlying data. The increasing amount of semantic data brings along important technical challenges for development and maintenance of domain ontologies. Our approach aims to provide the ontologies with capacity to evolve through the follow characteristics: (1) have a direct connection with the real world; (2) be able to execute actions in response to external stimuli; (3) execute actions faster than the human response. In other words, a system with proactive behavior must detect symptoms and must be able to handle such situations without human supervision. The paper describes the governmental knowledge base constructed from Brazilian laws and how it is linked and managed by domain ontologies through the autonomic computing paradigm to implement the proactive behavior. The autonomic characteristics were obtained through architecture that treats ontologies as knowledge that requires a management system to monitor known symptoms and execute specified actions on undesirable scenarios. The existing ontologies in the SIOP-LEGIS [3] repository are currently monitored for symptoms presented in this paper and it reached the ability to recommend actions for domain ontologies´ evolution. We envision the autonomic architecture will be able to take actions regarding Service Level Agreement (SLA) and improve the human/system interaction.

Pages: 96 to 102

Copyright: Copyright (c) IARIA, 2013

Publication date: March 24, 2013

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-257-8

Location: Lisbon, Portugal

Dates: from March 24, 2013 to March 29, 2013