Research on Emergency Plan Ontology Model

2012 ◽  
Vol 488-489 ◽  
pp. 1288-1292
Author(s):  
Min Ren ◽  
Feng Yang
Keyword(s):  
Retrieval System ◽  
Semantic Model ◽  
Semantic Retrieval ◽  
Emergency Plan ◽  
Emergency Plans ◽  
The Core ◽  
Ontology Language ◽  
Ontology Model ◽  
Emergency Events ◽  
Public Emergency

Emergency plan is a project document to guide and deal with public emergency events, and also is the core of emergency management. Nowadays, most emergency plans in China exist in non-semantic form and are difficult to play roles effectively. Ontology is an important method to describe semantic model. Therefore, in this paper, emergency plan ontology model is constructed by ontology technology of semantic Web and Web Ontology Language OWL, which formally describes the conceptions of emergency plan and the relations between them. Finally, the model is used in ontology-based semantic retrieval system, and improves the retrieval recall and precision.

Study on Semantic Model of Urban Rail Transit Emergency Plan

2013 ◽  
Vol 380-384 ◽  
pp. 2822-2826
Author(s):  
Yun Tao Du ◽  
Ling Ling Zhong
Keyword(s):  
Real World ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Semantic Model ◽  
Emergency Plan ◽  
Emergency Plans ◽  
The Core ◽  
Ontology Model ◽  
Urban Rail

Emergency plan modeling is the foundation of the work for digitizing emergency plans. On the basis of analyzing the content and structure of the existing urban rail transit emergency plans, a formalization method for emergency plans based on ontology is put forward. The core terms of emergency plans are extracted and classified. The relationships between various concepts are concluded. Combined with related concepts of ontology five meta-words, the ontology model of emergency plans is constructed. The emergency plan system from a subway company is presented as a real world case to establish the semantic model, providing the feasibility of the method proposed.

Research for the Metro Emergency Based on the Ontology Model

2014 ◽  
Vol 1030-1032 ◽  
pp. 2087-2090
Author(s):  
Peng Zhu
Keyword(s):  
Semantic Representation ◽  
Rapid Development ◽  
General Pattern ◽  
Emergency Plans ◽  
Ontology Model ◽  
Network Operation ◽  
Emergency Events ◽  
Metro Network

Currently, with the rapid development of subway in China, many cities are gradually creating a trend of metro network-operation. In this paper, the metro emergency plans are analyzed and compared, with the result on which generate a general pattern. Then the ontology model to describe the emergency events is established. By the multi-dimensional description, the semantic representation for the emergency events was optimized.

An approach to evaluation of emergency plans for unconventional emergency events based on soft fuzzy rough set

Kybernetes ◽  
2016 ◽  
Vol 45 (3) ◽  
pp. 461-473 ◽  
Author(s):  
Sun Bingzhen ◽  
Ma Weimin
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Management Decision ◽  
Fuzzy Rough Set ◽  
Emergency Plans ◽  
Content Type ◽  
Emergency Events

Purpose – The purpose of this paper is to present a new method for evaluation of emergency plans for unconventional emergency events by using the soft fuzzy rough set theory and methodology. Design/methodology/approach – In response to the problems of insufficient risk identification, incomplete and inaccurate data and different preference of decision makers, a new model for emergency plan evaluation is established by combining soft set theory with classical fuzzy rough set theory. Moreover, by combining the TOPSIS method with soft fuzzy rough set theory, the score value of the soft fuzzy lower and upper approximation is defined for the optimal object and the worst object. Finally, emergency plans are comprehensively evaluated according to the soft close degree of the soft fuzzy rough set theory. Findings – This paper presents a new perspective on emergency management decision making in unconventional emergency events. Also, the paper provides an effective model for evaluating emergency plans for unconventional events. Originality/value – The paper contributes to decision making in emergency management of unconventional emergency events. The model is useful for dealing with decision making with uncertain information.

scholarly journals Development of ontology-based model to support learning process in LMS

2021 ◽  
Vol 24 (1) ◽  
pp. 507
Author(s):  
Hussein Ali Ahmed Ghanim ◽  
László Kovács
Keyword(s):  
Learning Process ◽  
Time Management ◽  
Application Programming Interface ◽  
Domain Ontology ◽  
Actual Process ◽  
Process Ontology ◽  
Support Mechanism ◽  
Ontology Language ◽  
Ontology Model ◽  
E Learning

<p>E-Learning is an important support mechanism for educational systems to increase the efficiency of the education process including students and teachers. The current e-learning systems typically lack the level of metacognitive awareness, adaptive tutoring, and time management skills and have not always met the expectations of the learners as required. In this study, we introduce a novel ontological model for the learning process in the e-learning domain. In the framework, we have built a domain ontology that represents knowledge of the learning, the outcome domain ontology covers the whole learning process. We focused on the learning process ontology model conceptualizing knowledge constructions, such as learning courses, and we present the created course and learning process ontology in detail. In this work, we considered three layers of learning process. The top layer defines a general framework of learning process, conceptual model layer, defines the framework of the actual process of the learning process and course ontology model contains the knowledge unit of the learning process. The prototype ontology is constructed in protégé and managed by Java web ontology language-application programming interface (OWL-API). As a result, our model can solve the problems of current e-tutor systems. Also, it can be used for different domain in e-tutor systems. It can reach the characteristics of standardization, reusability, flexibility, and open knowledge. By applying this model, we can avoid applying isolated databases. The constructed ontology can be used in the future to control adaptive intelligent e-tutor frameworks.</p>

Interoperability Issues for Systems Managing Competency Information

2010 ◽  
pp. 83-105
Author(s):  
Bernard Blandin ◽  
Geoffrey Frank ◽  
Simone Laughton ◽  
Kenji Hirata
Keyword(s):  
Supply Chain ◽  
Final Section ◽  
Reference Model ◽  
Research Programme ◽  
Semantic Model ◽  
Research Directions ◽  
The Third ◽  
The Core ◽  
Digital Services ◽  
Core Part

This chapter has four sections. The first one describes how the needs for interoperability in exchanging competency information have been addressed so far. The second part adopts a “Digital Services Supply Chain” approach and discusses the issues related to the exchange of competency information across systems regarding this approach. The third part is the core part of this chapter. It describes the 4 levels of the proposed approach: the Conceptual Reference Model (CRM), the Semantic Model, the Information Model and the Data Model. The final section presents the research directions currently envisaged, and the research programme needed to make the proposed approach operational.

Classification as Evaluation

2011 ◽  
pp. 41-62 ◽  
Author(s):  
Sari Hakkarainen ◽  
Darijus Strasunskas ◽  
Lillian Hella ◽  
Stine Tuxen
Keyword(s):  
Web Applications ◽  
Evaluation Criteria ◽  
Web Based ◽  
Classification Approach ◽  
The Core ◽  
Ontology Language ◽  
Ontology Building ◽  
Using Data

Ontology is the core component in Semantic Web applications. The employment of an ontology building method affects the quality of ontology and the applicability of ontology language. A weighted classification approach for ontology building guidelines is presented in this chapter. The evaluation criteria are based on an existing classification scheme of a semiotic framework for evaluating the quality of conceptual models. A sample of Web-based ontology building method guidelines is evaluated in general and experimented with using data from a case study in particular. Directions for further refinement of ontology building methods are discussed.

scholarly journals Effectiveness of Household Emergency Plans in Violent Tornadoes

2020 ◽  
pp. 1-2
Author(s):  
Zhen Cong ◽  
Daan Liang ◽  
Jianjun Luo
Keyword(s):  
Logistic Regression ◽  
Empirical Evidence ◽  
Family Involvement ◽  
Random Sampling ◽  
Telephone Survey ◽  
Multinomial Logistic Regression ◽  
Family Members ◽  
Emergency Plan ◽  
Emergency Plans

ABSTRACT Objective: This study examined factors that were associated with the effectiveness of pre-existing household emergency plans during the 2011 EF5 Joplin and EF4 Tuscaloosa tornadoes. We focused on whether discussing with family members helped increase the plan’s effectiveness. Methods: A telephone survey based on random sampling was conducted in 2012 with 1006 respondents in both cities. Each city experienced huge losses, injuries, and casualties. The working sample included 494 respondents who had a household emergency plan in place before these tornadoes. Results: Multinomial logistic regression showed that discussing with family members increased the helpfulness of the plan in Joplin, where people had not experienced tornadoes frequently and were less prepared for tornadoes relative to residents in Tuscaloosa. Conclusions: This study provides empirical evidence on the importance of encouraging family involvement when making household emergency plans, especially in places that are less prepared for disasters than those that are better prepared.

Research on Semantic Retrieval System for the Document Knowledge Based on Domain Ontology

2011 ◽  
Vol 204-210 ◽  
pp. 2171-2175
Author(s):  
Zi Yu Liu ◽  
Dong Li Zhang ◽  
Xue Hui Li
Keyword(s):  
High Speed ◽  
Retrieval System ◽  
Domain Ontology ◽  
Experimental Results ◽  
Semantic Retrieval ◽  
High Speed Railway ◽  
Knowledge Based ◽  
Main Components ◽  
Railway Domain ◽  
Concept Similarity

Domain ontology can effectively organize the knowledge of that domain and make it easier to share and reuse. We can build domain ontology on thesaurus and thematic words and index document knowledge using domain ontology. Under which this paper designs a semantic retrieval system for the document knowledge based on domain ontology, and the system consists of four main components: ontology query, semantic precomputation for document and the concept similarity, semantic extended search and reasoning search. Finally, this paper makes an experiment on high-speed railway domain. The experimental results show that the developed semantic retrieval system can reach the satisfied recall and precision.

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