Modelado conceptual de ciudades inteligentes: un mapeo sistemático de literatura

La ciudad inteligente (CI) gestiona de manera eficiente los flujos urbanos a través del proceso en tiempo real de información sobre dispositivos, ciudadanos y activos. Determinar un modelo conceptual de CIs estandarizado es importante para establecer un plan completo, una comprensión concisa sobre el dominio, habilitar estrategias de desarrollo y asegurar que múltiples iniciativas están alineadas. En este artículo se presentan los resultados de un mapeo sistemático de la literatura (en inglés, systematic mapping study o SMS) para establecer el estado del arte de las contribuciones de modelado conceptual de las CIs. Se realizó una búsqueda en las librerías digitales IEEE Xplore y ACM desde octubre del 2015 a marzo del 2022 y se analizaron 48 estudios primarios. Se evidenció que del modelado lo más publicado son diagramas de arquitectura. Y dentro de los diagramas UML, los predominantes son los diagramas de clases y diagramas de actividad.Track «Gobierno Digital y Ciudades Inteligentes»Red de Universidades con Carreras en Informátic

Analyzing the Usefulness of ThingFO as a Foundational Ontology for Sciences

This work specifies and defines all terms, properties and relationships of ThingFO –which stands for Thing Foundational Ontology. ThingFO is an ontology for particular and universal Things and Assertions placed at the foundational level in the context of a four-layered ontological architecture called FCDOntoArch. This is a four-layered ontological architecture, which considers foundational, core, domain and instance levels. In turn, the domain level is split down into two sub-levels, namely: top-domain and low-domain. Ontologies at the same level can be related to each other, except for the foundational level where only the ThingFO ontology is. Additionally, ontologies' terms, properties and relationships at lower levels can be semantically enriched by ontologies' terms properties and relationships from the higher levels. Since ThingFO is at the highest level, ontologies at lower levels benefit from reusing and extending its concepts. To illustrate the usefulness of ThingFO, we primarily analyze enriched terms of a couple of ontologies at the core level such as ProcessCO and SituationCO, among others, in which their concepts are cross-cutting concerns for many domain terminologies from diverse sciences.Sociedad Argentina de Informática e Investigación Operativ

System: A core conceptual modeling construct for capturing complexity

[EN] The digitalization of human society continues at a relentless rate. However, to develop modern information technologies, the increasing complexity of the real-world must be modeled, suggest-ing the general need to reconsider how to carry out conceptual modeling. This research proposes that the often-overlooked notion of "system"should be a separate, and core, conceptual modeling construct and argues for incorporating it and related concepts, such as emergence, into existing approaches to conceptual modeling. The work conducts a synthesis of the ontology of systems and general systems theory. These modeling foundations are then used to propose a CESM+ template for conducing systems-grounded conceptual modeling. Several new conceptual modeling notations are introduced. The systemist modeling is then applied to a case study on the development of a citizen science platform. The case demonstrates the potential contributions of the systemist approach and identifies specific implications of explicit modeling with systems for theory and practice. The paper provides recommendations for how to incorporate systems into existing projects and suggests fruitful opportunities for future conceptual modeling research.We wish to thank the editor-in-chief, Carson Woo, and three anonymous reviewers for their exceptionally insightful and developmental comments. The substantial improvements that resulted from their feedback were much deeper than we usually experience in journal review processes. We wish to thank the participants of www.nlnature.com (now inactive) who contributed their sightings from 2010 to 2022. We also thank Jeffrey Parsons and Yolanda Wiersma - the co -investigators of NLNature. We are grateful to the late Mario Bunge and to Ron Weber with whom we discussed ontological ideas that inspired this paper. We also want to thank the participants and reviewers of AIS SIGSAND and ER Conference for their comments and feedback on earlier versions of this paper. This research was supported by McIntire School of Commerce, University of Virginia, J. Mack Robinson College of Business, Georgia State University, United States, and by VRAIN Research Institute of the Universitat Politecnica de Valencia and the Generalitat Valenciana, Spain under the CoMoDiD project (CIPROM/2021/023) .Lukyanenko, R.; Storey, VC.; Pastor López, O. (2022). System: A core conceptual modeling construct for capturing complexity. Data & Knowledge Engineering. 141:1-29. https://doi.org/10.1016/j.datak.2022.10206212914

Ontology for Conceptual Modeling: Reality of What Thinging Machines Talk About, e.g., Information

In conceptual modeling (CM) as a subdiscipline of software engineering, current proposed ontologies (categorical analysis of entities) are typically established through whole adoption of philosophical theories (e.g. Bunge’s). In this paper, we pursue an interdisciplinary research approach to develop a diagrammatic-based ontological foundation for CM using philosophical ontology as a secondary source. It is an endeavor to escape an offshore procurement of ontology from philosophy and implant it in CM. In such an effort, the CM diagrammatic language plays an important role in contrast to dogmatic philosophical languages’ obsession with abstract entities. Specifically, this paper is about developing a descriptive (in contrast to formal) ontology that a modeler accepts as a supplementary account of reality when using thinging machines (TMs; i.e. a reality that uncovers the ontology of things that TM modeling discusses or “talks about,” akin to the ontology of natural language). Although existence is a well-established notion, we defend subsistence (Stoic term) as a supplementary mode of reality (e.g. reflection of event). The aim here is aligned toward developing CM notions and processes that are firm enough. Classical analysis of being per se (e.g. identity, substance, classes, objects) is de-emphasized in this work; nevertheless, philosophical concepts form an acknowledged authority to compare to. As a case study, such a methodology is applied to the notion of information that provides a common-sense understanding of the world. This application would enhance understanding of the TM methodology and clarify some of the issues that shed light on the question of the nature of information as an important concept in software engineering. Information is defined as about events; that is, it is about existing things. It is viewed as having a subsisting nature that exists only through being “carried on” by other things. The results seem to indicate a promising approach to define information and understand its nature

UFO: Unified Foundational Ontology

The Unified Foundational Ontology (UFO) was developed over the last two decades by consistently putting together theories from areas such as formal ontology in philosophy, cognitive science, linguistics, and philosophical logics. It comprises a number of micro-theories addressing fundamental conceptual modeling notions, including entity types and relationship types. The aim of this paper is to summarize the current state of UFO, presenting a formalization of the ontology, along with the analysis of a number of cases to illustrate the application of UFO and facilitate its comparison with other foundational ontologies in this special issue. (The cases originate from the First FOUST Workshop – the Foundational Stance, an international forum dedicated to Foundational Ontology research.

30th International Conference on Information Modelling and Knowledge Bases

Information modelling is becoming more and more important topic for researchers, designers, and users of information systems. The amount and complexity of information itself, the number of abstraction levels of information, and the size of databases and knowledge bases are continuously growing. Conceptual modelling is one of the sub-areas of information modelling. The aim of this conference is to bring together experts from different areas of computer science and other disciplines, who have a common interest in understanding and solving problems on information modelling and knowledge bases, as well as applying the results of research to practice. We also aim to recognize and study new areas on modelling and knowledge bases to which more attention should be paid. Therefore philosophy and logic, cognitive science, knowledge management, linguistics and management science are relevant areas, too. In the conference, there will be three categories of presentations, i.e. full papers, short papers and position papers