[Paper Review] Ontology-Based Emergency Management System in a Social Cloud

A. Bhuvaneswari, G. R. Karpagam|arXiv (Cornell University)|Dec 9, 2011

Service-Oriented Architecture and Web Services12 references3 citations

TL;DR

This paper proposes an ontology-based emergency management system in a social cloud using Eucalyptus to enable intelligent, on-demand access to emergency services. By modeling entities like people, organizations, and healthcare services via semantic web services and an ontology, the system enhances interoperability and automated discovery of critical resources during emergencies, demonstrated in the healthcare domain with improved response coordination.

ABSTRACT

The need for Emergency Management continually grows as the population and exposure to catastrophic failures increase. The ability to offer appropriate services at these emergency situations can be tackled through group communication mechanisms. The entities involved in the group communication include people, organizations, events, locations and essential services. Cloud computing is a "as a service" style of computing that enables on-demand network access to a shared pool of resources. So this work focuses on proposing a social cloud constituting group communication entities using an open source platform, Eucalyptus. The services are exposed as semantic web services, since the availability of machine-readable metadata (Ontology) will enable the access of these services more intelligently. The objective of this paper is to propose an Ontology-based Emergency Management System in a social cloud and demonstrate the same using emergency healthcare domain.

Motivation & Objective

• To address the growing need for efficient emergency response as populations and disaster risks increase.
• To improve coordination among emergency entities—people, organizations, locations, events, and services—through group communication mechanisms.
• To leverage cloud computing's on-demand resource model for scalable emergency service delivery.
• To enhance service discovery and interoperability using semantic web technologies and ontologies.
• To demonstrate the feasibility and effectiveness of the system in the emergency healthcare domain.

Proposed method

• The system is built on the Eucalyptus open-source cloud platform to support a social cloud infrastructure for emergency services.
• A domain-specific ontology is developed to model emergency entities such as people, organizations, locations, events, and healthcare services.
• Semantic web services are exposed to enable machine-readable metadata and automated service discovery.
• The ontology enables reasoning and dynamic composition of services based on contextual needs during emergencies.
• The system integrates group communication mechanisms to support real-time coordination among stakeholders.
• The implementation is validated in the emergency healthcare domain to demonstrate end-to-end functionality.

Experimental results

Research questions

• RQ1 How can a social cloud infrastructure be designed to support dynamic, on-demand emergency response coordination?
• RQ2 To what extent can ontologies improve interoperability and automated discovery of emergency services?
• RQ3 How can semantic web services enhance the intelligence and adaptability of emergency management systems?
• RQ4 What role does cloud computing play in scaling emergency service delivery during crises?
• RQ5 How effective is the proposed system in a real-world emergency healthcare scenario?

Key findings

• The ontology-based system enables automated discovery and composition of emergency services through machine-readable metadata.
• Semantic web services significantly improve interoperability and context-aware service selection during emergencies.
• The integration of Eucalyptus provides a scalable, on-demand cloud infrastructure for emergency resource provisioning.
• The system demonstrates improved coordination among emergency entities through structured, semantically enriched communication.
• The implementation in the emergency healthcare domain confirms the feasibility and practicality of the proposed approach.
• The use of ontologies enhances system adaptability and supports dynamic response to evolving emergency situations.