A Good Role Model for Ontologies

2012 ◽  
pp. 225-235 ◽  
Author(s):  
Michael Pradel ◽  
Jakob Henriksson ◽  
Uwe Aßmann
Keyword(s):  
Role Models ◽  
Role Model ◽  
Building Blocks ◽  
Role Modeling ◽  
Web Ontology Language ◽  
Existing Building ◽  
Ontology Language ◽  
Ontology Languages ◽  
The Web

Although ontologies are gaining more and more acceptance, they are often not engineered in a component-based manner due to, among various reasons, a lack of appropriate constructs in current ontology languages. This hampers reuse and makes creating new ontologies from existing building blocks difficult. We propose to apply the notion of roles and role modeling to ontologies and present an extension of the Web Ontology Language OWL for this purpose. Ontological role models allow for clearly separating different concerns of a domain and constitute an intuitive reuse unit.

A Good Role Model for Ontologies

2010 ◽  
Vol 6 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Michael Pradel ◽  
Jakob Henriksson ◽  
Uwe Aßmann
Keyword(s):  
Role Models ◽  
Role Model ◽  
Building Blocks ◽  
Role Modeling ◽  
Web Ontology Language ◽  
Existing Building ◽  
Ontology Language ◽  
Ontology Languages ◽  
The Web

Although ontologies are gaining more and more acceptance, they are often not engineered in a componentbased manner due to, among various reasons, a lack of appropriate constructs in current ontology languages. This hampers reuse and makes creating new ontologies from existing building blocks difficult. We propose to apply the notion of roles and role modeling to ontologies and present an extension of the Web Ontology Language OWL for this purpose. Ontological role models allow for clearly separating different concerns of a domain and constitute an intuitive reuse unit.

scholarly journals Clinical teachers as positive and negative role models: an explanatory sequential mixed method design

2019 ◽  
Author(s):  
Leila Bazrafkan ◽  
Ali Asghar Hayat ◽  
Seyed Ziaaddin Tabei ◽  
Leila Amirsalari
Keyword(s):  
Mixed Method ◽  
Role Models ◽  
Role Model ◽  
Clinical Skills ◽  
Role Modeling ◽  
Individual Characteristics ◽  
Structured Interviews ◽  
Positive Role ◽  
Clinical Teachers ◽  
Negative Role

Today, role modeling is an essential component of medical education that facilitates the students' learning and affects their attitudes and behaviors. Hence, this study aimed to examine the characteristics of positive and negative role models using a mixed method approach. In the quantitative part, data were collected using a questionnaire with 24 items. The research population included medical students who were in their clinical period between May 2017 and December 2018 at Shiraz University of Medical Sciences (n = 750). A total of 282 questionnaires were completed by these students, and in the qualitative part, 26 semi-structured interviews were conducted with them. The most important components of role modeling for students included: individual characteristics, clinical skills and competence, teaching skills and professionalism, in that order. The qualitative analysis confirmed the results of the quantitative analysis. The findings showed that the characteristics of a negative role model can also be classified in four main components. The results demonstrated that 46.8% of the students identified one or more medical teachers as negative models. Students paid attention to not only the positive characteristics of their teachers, but also their negative features, stating that they had been influenced by both. Therefore, it can be concluded that clinical teachers should improve their performance as positive role models through reducing these negative effects and reinforcing positive characteristics

Modular Ontology Modeling: A Tutorial

2020 ◽  
Author(s):  
Cogan Shimizu ◽  
Pascal Hitzler ◽  
Adila Krisnadhi
Keyword(s):  
Design Patterns ◽  
Ontology Engineering ◽  
Web Ontology Language ◽  
Ontology Language ◽  
Ontology Modeling ◽  
Ontology Design ◽  
Modular Ontology ◽  
The Web

We provide an in-depth example of modular ontology engineering with ontology design patterns. The style and content of this chapter is adapted from previous work and tutorials on Modular Ontology Modeling. It offers expanded steps and updated tool information. The tutorial is largely self-contained, but assumes that the reader is familiar with the Web Ontology Language OWL; however, we do briefly review some foundational concepts. By the end of the tutorial, we expect the reader to have an understanding of the underlying motivation and methodology for producing a modular ontology.

scholarly journals Overview and Utilization of the NCI Thesaurus

2004 ◽  
Vol 5 (8) ◽  
pp. 648-654 ◽  
Author(s):  
Gilberto Fragoso ◽  
Sherri de Coronado ◽  
Margaret Haber ◽  
Frank Hartel ◽  
Larry Wright
Keyword(s):  
National Cancer Institute ◽  
Description Logic ◽  
Biological Processes ◽  
Gene Products ◽  
Collaborative Effort ◽  
Web Ontology Language ◽  
Ontology Language ◽  
File Formats ◽  
History Of ◽  
The Web

The NCI Thesaurus is a reference terminology covering areas of basic and clinical science, built with the goal of facilitating translational research in cancer. It contains nearly 110 000 terms in approximately 36000 concepts, partitioned in 20 subdomains, which include diseases, drugs, anatomy, genes, gene products, techniques, and biological processes, among others, all with a cancer-centric focus in content, and originally designed to support coding activities across the National Cancer Institute. Each concept represents a unit of meaning and contains a number of annotations, such as synonyms and preferred name, as well as annotations such as textual definitions and optional references to external authorities. In addition, concepts are modelled with description logic (DL) and defined by their relationships to other concepts; there are currently approximately 90 types of named relations declared in the terminology. The NCI Thesaurus is produced by the Enterprise Vocabulary Services project, a collaborative effort between the NCI Center for Bioinformatics and the NCI Office of Communications, and is part of the caCORE infrastructure stack (http://ncicb.nci.nih.gov/NCICB/core). It can be accessed programmatically through the open caBIO API and browsed via the web (http://nciterms.nci.nih.gov). A history of editing changes is also accessible through the API. In addition, the Thesaurus is available for download in various file formats, including OWL, the web ontology language, to facilitate its utilization by others.

Semantic System for Attacks and Intrusions Detection

2015 ◽  
Vol 7 (4) ◽  
pp. 19-32
Author(s):  
Abdeslam El Azzouzi ◽  
Kamal Eddine El Kadiri
Keyword(s):  
Web Application ◽  
Description Logics ◽  
Attack Detection ◽  
Web Ontology Language ◽  
Detection Systems ◽  
Web Attacks ◽  
Ontology Language ◽  
Essential Properties ◽  
Prevention Methods ◽  
The Web

The increasing development of information systems complicate task of protecting against threats. They have become vulnerable to malicious attacks that may affect the essential properties such as confidentiality, integrity and availability. Then the security becomes an overriding concern. Securing a system begins with prevention methods that are insufficient to reduce the danger of attacks, that must be accomplished by intrusion and attack detection systems. In this paper, a method for detecting web application attacks is proposed. Unlike methods based on signatures, the proposed solution is a technique based on ontology. It describes the Web attacks, the HTTP request, and the application using semantic rules. The system is able to detect effectively the sophisticated attacks by analysing user requests. The semantic rules allow inference about the ontologies models to detect complex variations of web attacks. The ontologies models was developed using description logics which was based Web Ontology Language (OWL). The proposed system is able to be installed on an HTTP server.

Rule-Based OWL Ontology Reasoning Systems

2010 ◽  
pp. 124-148 ◽  
Author(s):  
Georgios Meditskos ◽  
Nick Bassiliades
Keyword(s):  
Semantic Web ◽  
Description Logic ◽  
Formal Semantics ◽  
Web Ontology Language ◽  
Rule Engine ◽  
Basic Principles ◽  
Rule Based ◽  
Ontology Language ◽  
Open Nature ◽  
The Web

This chapter is focused on the basic principles behind the utilization of rules in order to perform reasoning about the Web Ontology Language (OWL), a Description Logic-based language that is the W3C recommendation for creating and sharing ontologies in the Semantic Web. More precisely, we elaborate on the entailment-based OWL reasoning (EBOR) paradigm, which is based on the utilization of RDF/ RDFS and OWL entailment rules that run on a rule engine, applying the formal semantics of the ontology language. To this end, seven EBOR systems are described and compared, analyzing the different approaches. Despite the closed rule environment, which comes in contrast with the open nature of the Semantic Web, and the fact that OWL semantics are partially mapped into rules, the rule-based OWL reasoning paradigm can give great potentials in the Semantic Web, enabling the utilization of rule engines on top of ontology information.

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