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2014
This paper outlines the need for and the development of an Incident Management Ontology. The Incident Management Ontology is derived from an Incident Management Meta-Model. We describe the shortcomings of the Incident Management Meta-Model and how the Incident Management Ontology addresses these shortcomings. The development of the Incident Management Ontology is outlined and the need for such an ontology is discussed. Related work is described and the Incident Management Ontology’s potential uses and applications are presented. Keywords—Ontology, Incident Management, Description Logic
2012 Seventh International Conference on Availability, Reliability and Security, 2012
The CERT Incident Management Body of Knowledge (CIMBOK) was built using a systematic process that starts with a controlled vocabulary and evolves through taxonomies, static ontologies, dynamic ontologies, intentional ontologies, and metamodels. The CIMBOK builds on 10 previous standards for incident management. This paper describes the components of the CIMBOK and how they were constructed.
International Journal of Information Technology and Computer Science
A significant number of Information Technology incidents are reported through email. To design and implement an intelligent incident management system, it is significant to automatically classify the reported incident to a given incident category. This requires the extraction of semantic content from the reported email text. In this research work, we have attempted to classify a reported incident to a given category based on its semantic content using ontology. We have developed an Incident Ontology that can serve as a knowledge base for the incident management system. We have also developed an automatic incident classifier that matches the semantical units of the incident report with concepts in the incident ontology. According to our evaluation, ontology-driven incident classification facilitates the process of Information Technology incident management in a better way since the model shows 100% recall, 66% precision, and 79% F1-Score for sample incident reports.
Annual of Sofia University St Kliment Ohridski Faculty of Mathematics and Informatics, 2023
Knowledge management methods and their efficient implementation across the organization determine sound and resilient management of processes. This paper studies the semantic integration of enterprise data sources essential to service management processes. Implementing a semantic layer within the enterprise architecture uses various tools, methods, and techniques. The semantic conceptual model unifies and implements intelligent integration of multiple data sources across the enterprise, achieving consistency and more accessible interpretation. Specifically, we draw our attention to incident and problem management within enterprises. We propose an ontology -a conceptual model for the incident management process. The incident ontology presented as an intelligent data integration layer component aims to achieve operational excellence. Besides, this ontology is a fundamental part of the proactive process in problem management. An ontology as a logic-based system supports integrity validation. It infers new, no explicitly modeled facts in the problem domain, thus helping experts better analyze and understand the problem. We discuss the conducted experiment results with the proposed in this article conceptual model using the enterprise knowledge graph platform. It can be perceived as a framework for a query-answering system with components, including ontology schema, data mapping, and classification methods for data graph enrichment.
Arxiv preprint arXiv:1203.1021, 2012
Abstract: In a world where communication and information sharing are at the heart of our business, the terminology needs are most pressing. It has become imperative to identify the terms used and defined in a consensual and coherent way while preserving linguistic diversity. To streamline and strengthen the process of acquisition, representation and exploitation of scenarii of train accidents, it is necessary to harmonize and standardize the terminology used by players in the security field. The research aims to significantly ...
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015
Mining security events helps with better precautionary planning for community safety. However, incident records are expressed in diverse and application dependent formats which impedes common comprehension for automatic knowledge extraction and reasoning. In this paper, we present Security Incident Ontology, SIO, a novel lightweight domain ontology for security incidents. We use Timeline to annotate the temporal facts of incidents and adopt Event to represent any security issues from indecent behavior to assault to more adverse crime which raise the security alarm in a community. It will present a unique way to the security incident detectors, a police officer, Robocops, or intelligent CCTV cameras, to report security events. We use SIO in populating security incident notifications of Integrated Risk Management (IRM) at Ryerson University to evaluate its competency, for Ryerson University campus has both business and housing area in the vicinity and encompass not only high rate, but also wide variety of different security issues. SIO is developed in OWL 2 with Protégé.
ArXiv, 2012
In a world where communication and information sharing are at the heart of our business, the terminology needs are most pressing. It has become imperative to identify the terms used and defined in a consensual and coherent way while preserving linguistic diversity. To streamline and strengthen the process of acquisition, representation and exploitation of scenarii of train accidents, it is necessary to harmonize and standardize the terminology used by players in the security field. The research aims to significantly improve analytical activities and operations of the various safety studies, by tracking the error in system, hardware, software and human. This paper presents the contribution of ontology to modeling scenarii for rail accidents through a knowledge model based on a generic ontology and domain ontology. After a detailed presentation of the state of the art material, this article presents the first results of the developed model.
International Journal of Advanced Computer Science and Applications
Disasters, whether natural or human-made, leave a lasting impact on human lives and require mitigation measures. In the past, millions of human beings lost their lives and properties in disasters. Information and Communication Technology provides many solutions. The issue of so far developed disaster management systems is their inefficiency in semantics that causes failure in producing dynamic inferences. Here comes the role of semantic web technology that helps to retrieve useful information. Semantic web-based intelligent and self-administered framework utilizes XML, RDF, and ontologies for a semantic presentation of data. The ontology establishes fundamental rules for data searching from the unstructured world, i.e., the World Wide Web. Afterward, these rules are utilized for data extraction and reasoning purposes. Many disaster-related ontologies have been studied; however, none conceptualizes the domain comprehensively. Some of the domain ontologies intend for the precise end goal like the disaster plans. Others have been developed for the emergency operation center or the recognition and characterization of the objects in a calamity scene. A few ontologies depend on upper ontologies that are excessively abstract and are exceptionally difficult to grasp by the individuals who are not conversant with theories of the upper ontologies. The present developed semantic web-based disaster trail management ontology almost covers all vital facets of disasters like disaster type, disaster location, disaster time, misfortunes including the causalities and the infrastructure loss, services, service providers, relief items, and so forth. The objectives of this research were to identify the requirements of a disaster ontology, to construct the ontology, and to evaluate the ontology developed for Disaster Trail Management. The ontology was assessed efficaciously via competency questions; externally by the domain experts and internally with the help of SPARQL queries.
IEICE Transactions on Information and Systems, 2018
The emergency response process is quite complex since there is a wide variety of elements to be evaluated for taking decisions. Uncertainties generated by subjectivity and imprecision affect the safety and effectiveness of actions. The aim of this paper is to develop an ontology for emergency response protocols, in particular, to fires in buildings. This developed ontology supports the knowledge sharing, evaluation and review of the protocols used, contributing to the tactical and strategic planning of organizations. The construction of the ontology was based on the methodology Methontology. The domain specification and conceptualization were based in qualitative research, in which were evaluated 131 terms with definitions, of which 85 were approved by specialists. From there, in the Protégé tool, the domain's taxonomy and the axioms were created. The specialists validated the ontology using the assessment by human approach (taxonomy, application and structure). Thus, a sustainable ontology model to the rescue tactical phase was ensured.
iscramlive.org
Emergency Management, like other fields of Operations, consists of information, communication and decision making. Thanks to the pervasiveness of real time networked infrastructures, such as the internet and the web, new models of operations are emerging, designed to leverage the aggregate the power of 'collective intelligence' and 'distributed action' facilitated by 'open world' systems environments. In order to develop effective information systems capable of supporting the distributed nature of emerging 'architectures of participation', it is necessary to devise adequate 'semantic structures', which in turn rely on sound and explicit conceptual frameworks, such as ontologies. However, there aren't enough 'ontologies' in the public domain that can be referenced to establish compatibility of architectures and serve as guidelines for the development of open, neutral and accountable information systems. In this paper we a) describe and analyse the 'distributed' and 'networked' nature of emergency operations b) put forward the notion information systems to support of emergency management today should be modeled on 'distributed' and networked organizational structures, and that ontologies in this domain should be built accordingly
2011
ABSTRACT The next generation of information systems for emergency management will be based on information provided by large and diverse collections of sensors, including information supplied by human volunteers. Consequently there is more than ever a need to provide solutions to the integration question, so that the Common Operating Picture can truly and effectively provide the unified view required of it. This paper describes some work on the ontology of information that can contribute to a solution of the integration problem.
2009
Rafael Batres, Yukiyasu Shimada, Tetsuo Fuchino Department of Production Systems Engineering, Toyohashi University of Technology; Tel: þ81-532-44-6716, Fax: þ81-543-44-6690; e-mail: [email protected] Chemical Safety Research Group, National Institute of Occupational Safety and Health; Tel: þ81-42-494-6230 Fax: þ81-42-491-7846; e-mail: [email protected] Department of Chemical Engineering, Tokyo Institute of Technology; Tel: þ81-3-5734-2474, Fax: þ81-3-5734-2474; e-mail: [email protected]
International Conference on Information Fusion, 2005
The overall goal of the research described in this paper is to design a general methodology for situation assessment to support crisis management. The purpose of situation assessment is to produce contextual understanding and interpretation of the relationships between various entities, events and behaviors of interest. One of the main challenges of designing a situation assessment process is to provide a formal structure for ontological analyses of domainspecific types of entities, attributes, situations, and the relationships between them. This paper presents an attempt to confront this challenge by utilizing formal philosophical categories and theories to design a formal ontology of catastrophic events that describe the most basic and relevant structures of objective reality. The ontology is designed from both a top-down philosophical perspective (from abstract level to domain-specific level) and a bottom-up applicationbased perspective (from domain-specific level to abstract level). Situations are characterized by spatial items of interest (SNAP) at different levels of granularity (objects, aggregates, combination of aggregates), temporal items of interest (SPAN) that characterize the behaviors of SNAP items, and the relations between them.
2005
InvestigationOrganizer (IO) is a collaborative semantic Web application designed to support mishap investigations, and has been used for accidents ranging from those involving only minor property damage to the loss of the Space Shuttle Columbia. The development and use of IO in support of these investigations has provided significant lessons about the use of semantic Web technologies in real-world systems.
In a world where communication and information sharing are at the heart of our business, the terminology needsare most pressing. It has become imperative to identify the terms used and defined in a consensual and coherent way whilepreserving linguistic diversity. To streamline and strengthen the process of acquisition, representation and exploitation of scenarii of train accidents, it is necessary to harmonize and standardize the terminology used by players in the security field.The research aims to significantly improve analytical activities and operations of the various safety studies, by tracking the error in system, hardware, software and human. This paper presents the contribution of ontology to modeling scenarii for railaccidents through a knowledge model based on a generic ontology and domain ontology. After a detailed presentation of thestate of the art material, this article presents the first results of the developed model
2018 Third International Conference on Informatics and Computing (ICIC), 2018
One of the recent issues related to IT Services Management (ITSM) is automation in solving an incident (incident management). In order to bridge the issues, semantic web creation can become one of solutions and to create a semantic web, an ontology is required. Therefore, in this study an ITSM ontology designed by using the ITILv.3 framework for incident management process in domain service operation. The data used in this research is incident management data on university that has implemented the ITILv.3 framework. The process of designing the ontology was using the Methontology method and then be implemented in Portege software. The results obtained were measured using the OntoQA method, which obtained the relationship richness value of 0.27, the attribute richness value of 2.4 and inheritance richness of 3.2.
International Journal of Information and Education Technology, 2018
Ontologies provide a machine-processable description of entities and their properties, relationships and constraints, thus they can depict the semantics of disaster situations and related emergency tasks and thereby help to create connections between them for an efficient emergency response. As an ontology acts as the basic structure and knowledge base of an application, evaluation and assessment of the ontology are a critical point of the development process. Through the evaluation, the quality and the content of the ontology is assessed and it ensures that the ontology is well built, structured and contains all important concepts and relationships between them for sufficient reasoning. In this paper, an evaluation framework is proposed to evaluate an emergency situation ontology for which existing evaluation methods have been combined into a single framework, dividing the methods used into two phases: verification and validation. The verification of the ontology ensures that the ontology is correctly built. It evaluates the structure, functionality and representation of the ontology. Different metrics and common pitfalls are used to detect errors. The validation of the ontology ensures that the right ontology for the given application is built. This is achieved by competency questions and expert interviews.
Having access to the right information before and during an industrial emergency could save organizations and keep them safe and sustainable. Accident databases among other are used to provide such accesses. But, usual accident databases are lacking to provide enough emergency knowledge. This paper tries to improve the current process accident databases information retrieval through developing a process accident knowledge base (PAKB). Technological accident concepts and subconcepts were identified. Then, the relevant taxonomy for each concept was developed and the relationships among all concepts were formalized. This collection was transferred into the protégé software for more formal interpretation and representations. The established PAKB could improve information retrieval processes, reduce query time and fault results. Despite customary databases, it can disclose the hidden relations among different stored data. The accident knowledge base imagines knowledge epresentation and concept relationships that could help to understand the hidden relations among the needed data. Such features are vital in the emergency management.
… Conference-Geomatics for Disaster Management, 2010
Emergency response is a complex activity involving many actors and heterogeneous spatial data. One of the major challenges is the integration and understanding of these data by all the actors. While quite significant progress on system and syntax heterogeneity of data has been made, semantics issues are still insufficiently addressed. This papers discusses the possibility for applying ontology to resolve the semantic heterogeneity in emergency response. The paper introduces the interoperability problem by presenting a case study. Then, the basic ontology technology is introduced and discussed with respect to the emergency response processes. Finally, we present our concept on how to realize the semantic interoperability in emergency management.
The growing use of a variety of information systems in crisis management both by non-governmental organizations (NGOs) and emergency management agencies makes the challenges of information sharing and interoperability increasingly important. The use of semantic web technologies is a growing area and is a technology stack specifically suited to these challenges. This paper presents a review of ontologies, vocabularies and taxonomies that are useful in crisis management systems. We identify the different subject areas relevant to crisis management based on a review of the literature. The different ontologies and vocabularies available are analysed in terms of their coverage, design and usability. We also consider the use cases for which they were designed and the degree to which they follow a variety of standards. While providing comprehensive ontologies for the crisis domain is not feasible or desirable there is considerable scope to develop ontologies for the subject areas not currently covered and for the purposes of interoperability.
Computing in Civil and Building Engineering (2014), 2014
Construction safety related knowledge and project specific information are scattered and fragmented. Despite technological advancements of information and knowledge management in the building and construction industry, a link between safety management and information models is still missing. The objective of this study is to investigate a new approach to organize, store and re-use construction safety knowledge. A construction safety ontology is proposed to formalize the safety management knowledge, which consists of three main domain ontology models, including Construction Product Model, Construction Process Model and Construction Safety Model. The interaction between safety ontology and Building Information Modeling (BIM) is also explored. A prototype application of ontology-based job hazard analysis and visualization is implemented to further illustrate the applicability and effectiveness of the developed ontology. The developed construction safety ontology is expected to enable more effective inquiry of safety knowledge, which is the first step towards automated safety planning using BIM.
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