PoN-S : a systematic approach for applying the Physics of Notation (PoN)

Visual Modeling Languages (VMLs) are important instruments of communication between modelers and stakeholders. Thus, it is important to provide guidelines for designing VMLs. The most widespread approach for analyzing and designing concrete syntaxes for VMLs is the so-called Physics of Notation (PoN). PoN has been successfully applied in the analysis of several VMLs. However, despite its popularity, the application of PoN principles for designing VMLs has been limited. This paper presents a systematic approach for applying PoN in the design of the concrete syntax of VMLs. We propose here a design process establishing activities to be performed, their connection to PoN principles, as well as criteria for grouping PoN principles that guide this process. Moreover, we present a case study in which a visual notation for representing Ontology Pattern Languages is designed

LawV : towards an ontology-based visual modeling language in the legal domain

There has been an increase use of Domain-Specific Visual Modeling Language (DSVML) as a means of improving models’ comprehensibility and, consequently, stakeholders’ productivity. Combining the benefits of DSVMLs and of an ontological approach for designing and evaluating DSVMLs, we present, in this paper, the first-steps towards an ontology-based DSVML in the legal domain called LawV. The main purpose of LawV is to provide for a visual symbolic representation for legal statements. LawV has been built by applying an ontology-based language engineering method called PoNTO-S and UFO-L, a legal core ontology. To evaluate LawV, we instantiate a judicial case selected from the database of Appeal Court of the Esp ́ırito Santo State in Brazil

The use of foundational ontologies in biomedical research

Background: The FAIR principles recommend the use of controlled vocabularies, such as ontologies, to define data and metadata concepts. Ontologies are currently modelled following different approaches, sometimes describing conflicting definitions of the same concepts, which can affect interoperability. To cope with that, prior literature suggests organising ontologies in levels, where domain specific (low-level) ontologies are grounded in domain independent high-level ontologies (i.e., foundational ontologies). In this level-based organisation, foundational ontologies work as translators of intended meaning, thus improving interoperability. Despite their considerable acceptance in biomedical research, there are very few studies testing foundational ontologies. This paper describes a systematic literature mapping that was conducted to understand how foundational ontologies are used in biomedical research and to find empirical evidence supporting their claimed (dis)advantages. Results: From a set of 79 selected papers, we identified that foundational ontologies are used for several purposes: ontology construction, repair, mapping, and ontology-based data analysis. Foundational ontologies are claimed to improve interoperability, enhance reasoning, speed up ontology development and facilitate maintainability. The complexity of using foundational ontologies is the most commonly cited downside. Despite being used for several purposes, there were hardly any experiments (1 paper) testing the claims for or against the use of foundational ontologies. In the subset of 49 papers that describe the development of an ontology, it was observed a low adherence to ontology construction (16 papers) and ontology evaluation formal methods (4 papers). Conclusion: Our findings have two main implications. First, the lack of empirical evidence about the use of foundational ontologies indicates a need for evaluating the use of such artefacts in biomedical research. Second, the low adherence to formal methods illustrates how the field could benefit from a more systematic approach when dealing with the development and evaluation of ontologies. The understanding of how foundational ontologies are used in the biomedical field can drive future research towards the improvement of ontologies and, consequently, data FAIRness. The adoption of formal methods can impact the quality and sustainability of ontologies, and reusing these methods from other fields is encouraged.</p

Foundational Ontologies meet Ontology Matching: A Survey

Ontology matching is a research area aimed at finding ways to make different ontologies interoperable. Solutions to the problem have been proposed from different disciplines, including databases, natural language processing, and machine learning. The role of foundational ontologies for ontology matching is an important one. It is multifaceted and with room for development. This paper presents an overview of the different tasks involved in ontology matching that consider foundational ontologies. We discuss the strengths and weaknesses of existing proposals and highlight the challenges to be addressed in the future

The Role of Modeling in the Analysis and Design of Sustainable Systems:A Panel Report

Sustainability should become a key concern in the next generation of engineered systems. While this expectation is relatively straightforward, the question of how to get there is less obvious. The multi-dimensional and intricate nature of sustainability poses challenges in designing sustainable systems and analyzing sustainability properties. Finding trade-offs between economic, environmental, societal, and technological aspects of sustainability is a wicked problem and calls for advanced modeling and simulation methods. In this paper, we report on a panel discussion held at the 28th Working Conference on Exploring Modeling Methods for Systems Analysis and Development (EMMSAD) with four esteemed experts representing four complementary and often conflicting perspectives on the role of modeling for sustainability – stakeholders, digitalization, degrowth and IT, and ethics. We report the key arguments of the panelists, discuss the roles of modeling in the analysis and design of sustainable systems, and finally, elaborate the conflicts among the perspectives, their effects, and potential resolutions

Uma Abordagem Baseada em Ontologias para Obtenção de Indicadores a partir de Dados Abertos.

Em uma organização diversas decisões são tomadas diariamente, desde o nível estratégico até o nível operacional. Independente do nível em que as decisões são tomadas, elas devem ser baseadas em dados que, quando analisados, fornecem informações que guiam a tomada de decisão. No entanto, apesar de as organizações coletarem e armazenarem dados para auxiliar a tomada de decisão, eles nem sempre são utilizados adequadamente. Esse problema é ampliado quando se trata de dados abertos, onde um grande volume de dados é disponibilizado, mas a identificação e acesso aos dados que, quando analisados, podem prover informações úteis e apoiar tomadas de decisão, não é trivial. Independente do domínio, muitas vezes, a obtenção de informações se dá a partir dos resultados de um processo de medição, no qual definem-se as medidas para as quais se deseja coletar dados e realizam-se a coleta e a análise dos dados. Considerando esse cenário, este trabalho propõe uma abordagem para obtenção de indicadores úteis à tomada de decisão a partir de dados abertos. Apesar de a abordagem ter sido desenvolvida considerando o uso de dados abertos, ela pode ser utilizada para outros tipos de fontes de dados. A abordagem foi definida com base em duas ontologias, também propostas neste trabalho: uma Core Ontology on Measurement, que apresenta a conceituação central de medição independente do domínio de aplicação, incluindo aspectos relacionados à definição de medidas de maneira alinhada a objetivos estabelecidos, à coleta de dados para as medidas e à análise dos dados coletados; e uma Measurement Task Ontology, que descreve o processo de medição e a conceituação a ele associada. A Core Ontology on Measurement foi utilizada para fornecer o conhecimento sobre medição e o vocabulário adotado na abordagem proposta. A Measurement Task Ontology, por sua vez, foi utilizada para nortear a definição da abordagem, orientando sobre as atividades que deveriam ser contempladas. Buscando alcançar clareza conceitual e fidelidade à realidade, as ontologias foram definidas tendo como base a ontologia de fundamentação UFO (Unified Foundational Ontology). Para apoiar o uso da abordagem proposta, uma aplicação foi desenvolvida e, como avaliação preliminar da abordagem, a aplicação foi utilizada para obter indicadores a partir de bases de dados abertos disponibilizadas pela ANAC (Agência Nacional de Aviação Civil) e pela INFRAERO (Empresa Brasileira de Infraestrutura Aeroportuária)

A COMMITMENT-BASED REFERENCE ONTOLOGY FOR SERVICE: HARMONIZING SERVICE PERSPECTIVES

Nowadays, the notion of service has been widely adopted in the practice of economic sectors (e.g., Service, Manufacturing, and Extractive sectors), as well as, in the research focus of various disciplines (e.g., Marketing, Business, and Computer Science). Due to that, a number of research initiatives (e.g., service ontologies, conceptual models, and theories) have tried to understand and characterize the complex notion of service. However, due to particular views of these disciplines and economic sectors, a number of different characterizations of service (e.g., service as interaction, service as co-creation of value, and service as capability / manifestation of competence, among others) have been proposed. The existence of these various non-harmonized characterizations, and the focus on a terminological debate about the service concept, instead of about the service phenomena from a broad perspective, make the establishment of a unified body of knowledge for service difficult. This limitation impacts, e.g., the establishment of unified conceptualization for supporting the smooth alignment between Business and IT views in service-oriented enterprise architecture (SoEA), and the design and usage of service modeling languages. In this thesis we define a theoretical foundation for service based on the notion of service commitment and claims as basic elements in the characterization of service relations along service life-cycle phases (service offer, service negotiation, and service delivery). As discussed in this work, this theoretical foundation is capable of harmonizing a number of service perspectives found in the literature. Such theoretical foundation is specified in a well-founded core reference ontology, named UFO-S, which was designed by adopting a sound ontological engineering apparatus (mainly, a well-founded ontology representation language, OntoUML, and approaches of model verification and model validation). As a kind of theory, UFO-S was applied in the analysis of SoEA structuring principles in order to define a commitment-based SoEA view, which remarks social aspects inherent in service relations usually underexplored in widely adopted service-oriented approaches (such as SOA-RM by OASIS, ITIL, and ArchiMate). Based on this, UFO-S was also applied in an ontological analysis of service modeling at ArchiMates Business layer. Such ontological analysis showed some limitations concerned to semantic ambiguity and lack of expressiveness for representing service offerings (and type thereof) and service agreements in SoEA. In order to address these limitations, three service modeling patterns (service offering type pattern, service offering pattern, and service agreement pattern) were proposed taking as basis UFO-S. The usefulness of these patterns for addressing these limitations was evidentiated by means of an empirical evaluation. Finally, we can say that, beyond offering a broad and well-founded theoretical foundation for service able to harmonize service perspectives, UFO-S presented benefits as a reference model in the analysis of SoEA structuring principles, and in the (re)design of service modeling languages