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In this chapter, the authors propose an ontology based approach to classify the anomalous events occurring in a number of hosts, thus filtering the interesting or non-trivial events requiring immediate attention from a set of events. An ontology is developed to structure the domain of anomaly detection. It expresses the semantic relationships among the attributes of an anomaly detection system and events collected by it. The system harnesses the reasoning capability of ontology and that of inference engine to make meaningful assumptions about anomaly events. This enables automatic classification of the reported anomalies based on the functionality and significance of the originating host as well as the associated system resource or parameter.

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Safety is a very critical domain in an industrial organization. This is especially true for organizations having multiplicity of scientific and engineering disciplines. This requires a broad based safety management system which has to take into account various aspects consisting of planning, management, preventive measures, compliance to safety standards and response to emergencies. In order to make the safety management system more effective and prompt in its operations and response to emergencies, we have developed a web based system to visualize and maintain the information about the equipments/materials of the offices, workshops and labs. By using the system, the management will be able to visualize the complete 2D layout of workplace and have the ability to select labs, offices and workshops to see the visual layout of each one of them along with major equipments Imaterials. The system also records aU the equipment, furniture and materials (such as chemicals, cylinders, and biomaterial) along with the types, quantity, hazard level, fire class and its location within the building. Having the above material information system enables the management to quickly access the information about the types and quantity of hazardous materials located in the organization and the potential danger that they present during an emergency and respond effectively.An extensive database schema has been designed to inter-relate the layout and material information. The authentication and authorization of the users, equipment 1 material categorization and management issues have also been addressed in the schema. Once the database gets accurately populated, a rule based inference engine being developed will be used to generate periodic reports, extract and search meaningful information based on the multiple criterions (rules) such as finding out the incompatible or hazardous materials and quantity within certain area. The user interface has been developed in the form of Rich Internet Application (RIA) that gives a feel of desktop application over the internet with web-like simplicity. The data presentation provided certainly enhances the situational awareness. We are using open source technologies for the entire software development. We have developed a prototype 978-1-4244-8343-3110/$26.00 system by selecting a building with multi disciplinary labs, workshops to demonstrate the capabilities and to gather inputs for further enhancements. LINTRODUCTIONThe multi disciplinary organization has large number of facilities with unique infrastructure such as chemical labs, services infrastructure (steam, compressed air, chilled water, cooling water, power distribution etc), workshops and offices. Because of the multi disciplinary nature, the safety management of such organization requires different kind of planning, management, preventive measures, compliance to safety standards and response to the emergencies [1], [2], [4], [5]. In addition to this the safety management is a dynamic process. Individuals and the concerned bodies responsible ...