SciTePress - Affiliation Profile

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Affiliation

ARDITI - Regional Agency for the Development of Research, Technology, and Innovation, 9020-105, Funchal, Portugal

Context (please use complete words only)

Field

Sort by

3 Papers

Extending DEMO Action Rule Specifications’ Syntax in a Low Code Platform Based Municipality Hearing System Implementation

Topics: Knowledge Representation; Applications and Case-Studies; Enterprise Engineering; Domain Analysis and Modeling; Enterprise Ontology; Domain Ontologies; Ontology Tools

Authors: David Aveiro ^{1

;

2

;

3} , Vitor Freitas ^{1

;

3} , Duarte Pinto ^{1

;

2} , Valentim Caires ^{1

;

2} and Dulce Pacheco ^{1

;

2}

Affiliations: ¹ ARDITI - Regional Agency for the Development of Research, Technology and Innovation, 9020-105 Funchal, Portugal , ² NOVA-LINCS, Universidade NOVA de Lisboa, Campus da Caparica, 2829-516 Caparica, Portugal , ³ Faculty of Exact Sciences and Engineering, University of Madeira, Caminho da Penteada 9020-105 Funchal, Portugal

Digital Object Identifier: 10.5220/0013068800003838

Proceedings of KEOD 2024, ISBN: 978-989-758-716-0

Quick Abstract

The current official Design and Engineering Methodology for Organizations (DEMO) Action Rules Specification are unnecessarily complex and ambiguous. These specifications are also incomplete, lacking sufficient ontological details required to derive a fully functional implementation; and complex by containing mostly unneeded specifications. Additionally, this paper details our progress in developing a metamodel for DEMO’s Action Model, using an Extended Backus-Naur Form (EBNF) syntax. These advancements were driven by our experience in implementing a system for the case study on a no-code/low-code platform to support a local Municipality Hearings Process. This implementation was done on a Low-Code platform supporting the direct execution of DEMO Models that is being developed by our team. Among our contributions are the models and patterns generated from this implementation, which provide reusable solutions that can be adopted by other low-code platforms using a similar approach.

Evaluating the Perceived Quality and Functionality of DEMO Models’ Representations in the Health Domain

Topics: Applications and Case-Studies; Enterprise Engineering; Enterprise Ontology; Domain Ontologies

Authors: David Aveiro ^{1

;

2

;

3} , Vítor Freitas ^{1

;

3} , Dulce Pacheco ^{1

;

2

;

4} and Duarte Pinto ¹

Digital Object Identifier: 10.5220/0012260400003598

Proceedings of KEOD 2023, ISBN: 978-989-758-671-2

Quick Abstract

Demo’s (Design and Engineering Methodology for Organizations) Way of Modelling encompasses a collection of interconnected models and diagrams designed to depict an organization’s structure and operations in a cohesive and platform-independent manner. Nevertheless, there has been a contention that the syntax and semantics of DEMO models are overly intricate and cluttered, posing challenges for laypeople in terms of interpretation. Our research team has been working on improvements to the DEMO Modelling language for Enterprise Ontology. Previous work had shown challenges in using standard DEMO notations for model communication and validation, prompting the development of new representations. This study evaluates these representations through quality and functionality testing using a health domain case and health professionals with domain knowledge. The results of the conducted tests reveal significant differences in perceived quality and functionality between the new and traditional DEMO representations. These findings indicate a strong preference for the new representations over traditional ones. This study underscores the importance of focusing on users in enhancing the effectiveness of modelling languages like DEMO, particularly in complex domains such as healthcare. The results suggest that these new representations have the potential to improve the perceived quality and functionality of DEMO models in various practical applications, including health-related information systems.

Ontology for a Georeferencing Mobile System for Real Time Detection and Monitoring of Wildfires

Topics: Ontology Engineering; Ontology Matching and Alignment; Ontology Sharing and Reuse; Enterprise Engineering; Enterprise Ontology; Domain Ontologies

Authors: Dulce Pacheco ^{1

;

2

;

3} , David Aveiro ^{1

;

3

;

4} , Valentim Caires ^{1

;

3} and Duarte Pinto ^{1

;

3}

Affiliations: ¹ ARDITI - Regional Agency for the Development of Research, Technology, and Innovation, 9020-105, Funchal, Portugal , ² School of Technology and Management, University of Madeira, Caminho da Penteada, 9020-105, Funchal, Portugal , ³ NOVA-LINCS, Universidade NOVA de Lisboa, Campus da Caparica, 2829-516, Caparica, Portugal , ⁴ Faculty of Exact Sciences and Engineering, University of Madeira, Caminho da Penteada, 9020-105, Funchal, Portugal

Digital Object Identifier: 10.5220/0011592100003335

Proceedings of KEOD 2022/IC3K, ISBN: 978-989-758-614-9

Quick Abstract

This paper presents the Georeferencing Mobile Wildfire Detection System Ontology (GeMoWilDSOn). This ontology served as a base for implementing software for a mobile and georeferencing system for real-time detection and monitoring of wildfires in steep mountainous territories. On average, about 65,000 fires occur in Europe annually, burning approximately half a million hectares of wild land and forest areas. This growing tragedy directly reduces the forest biomass and biodiversity, causing severe damage to the ecosystems. Ontologies help developers speed up the requirements’ analysis in the design of a new system. Our work results in a streamlined ontology focused on fire prevention and fighting with mobile sensors, automatically georeferenced polygon data, and visible and thermal image captures, specially designed for steep mountainous terrain, where firefighting can be complex. Our research fills gaps found in related state-of-the-art and provides innovative contributions such as the concepts of manually drawn areas of fire and shadow, which are of utmost importance regarding this particularity of steep terrain. Our ontology was validated in three real-world tests where experts were delighted with the features, captured information, and its representation in the GUI of the developed system.