1,720,975 research outputs found
Pedagogically-driven Ontology Network for Conceptualizing the e-Learning Assessment Domain
Get PDFThe use of ontologies as tools to guide the generation, organization and personalization of e-learning content, including e-assessment, has drawn attention of the researchers because ontologies can represent the knowledge of a given domain and researchers use the ontology to reason about it. Although the use of these semantic technologies tends to enhance technology-based educational processes, the lack of validation to improve the quality of learning in their use makes the educator feel reluctant to use them. This paper presents progress in the development of an ontology network, called AONet, that conceptualizes the e-assessment domain with the aim of supporting the semi-automatic generation of assessment, taking into account not only technical aspects but also pedagogical ones.Fil: Romero, Lucila. Universidad Nacional del Litoral; ArgentinaFil: North, Matthew. The college of Idabo; Estados UnidosFil: Gutierrez, Milagros. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; ArgentinaFil: Caliusco, Maria Laura. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentin
Learning path based-portfolio for personalized learning
Get PDFNowadays, lot of human activities have been affected by the use of technology needed to change in order to adapted. Particularly, in education domain the changes that occurred were not enough to break the traditional schemas of teaching. In this way, more and more people claim for real remodeling. Mainly, one of the most important subject is the necessity to adapt the teaching process to the particular characteristics of students, in a king of personalized learning. This work presents a conceptual framework, which proposes learning path based-portfolio as a way to personalize education. This framework uses semantic technologies, logical rules and agents to determine the student learning level and based on that propose course of actions.Fil: Romero, Lucila. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; ArgentinaFil: Gutierrez, Maria de Los Milagros. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; ArgentinaFil: Caliusco, Maria Laura. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentin
Semantic modeling of portfolio assessment in e-learning environment
Get PDFIn learning environment, portfolio is used as a tool to keep track of learner’s progress. Particularly, when it comes to e-learning, continuous assessment allows greater customization and efficiency in learning process and prevents students lost interest in their study. Also, each student has his own characteristics and learning skills that must be taken into account in order to keep learner`s interest. So, personalized monitoring is the key to guarantee the success of technology-based education. In this context, portfolio assessment emerge as the solution because is an easy way to allow teacher organize and personalize assessment according to students characteristic and need. A portfolio assessment can contain various types of assessment like formative assessment, summative assessment, hetero or self-assessment and use different instruments like multiple choice questions, conceptual maps, and essay among others. So, a portfolio assessment represents a compilation of all assessments must be solved by a student in a course, it documents progress and set targets. In previous work, it has been proposed a conceptual framework that consist of an ontology network named AOnet which is a semantic tool conceptualizing different types of assessments. Continuing that work, this paper presents a proposal to implement portfolios assessment in e-learning environments. The proposal consists of a semantic model that describes key components and relations of this domain to set the bases to develop a tool to generate, manage and perform portfolios assessment.Fil: Romero, Lucila. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; ArgentinaFil: Gutierrez, Milagros. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; ArgentinaFil: Caliusco, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentin
A set of ontology design patterns for reengineering SBVR statements into OWL/SWRL ontologies
Get PDFThe interest in the use of ontologies for creating more intelligent and effective enterprise information systems has increased considerably in recent years. The most critical aspects during the development of these systems are: (1) to identify the ontology concepts and (2) to make explicit the business rules by means of the ontology axioms. In order to address these issues, mappings of business rules expressions to ontology statements based on different languages were proposed. Despite the efforts made in this area, some work remain to be done. This work presents a set of ontology design patterns providing a way to obtain an OWL/SWRL ontology by applying metamodel transformation rules over the SBVR specification of a business domain. Patterns are rooted in the structural specification of the standards, providing a set of mappings readily usable for business people or developers concerned with the implementation of a mapping tool. Moreover, translations from SBVR to SWRL language are presented in order to fill the gap in the expressive power of SBVR and OWL. The theoretical expressions of patterns are illustrated by means of an example depicting the core structure of a fictitious company.Fil: Reynares, Emiliano. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria En Sistemas de Informacion; ArgentinaFil: Galli, Maria Rosa. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria En Sistemas de Informacion; ArgentinaFil: Caliusco, Maria Laura. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria En Sistemas de Informacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentin
Knowledge Representation of Geographic Information using an Ontologies-based Approach
Get PDFActualmente el empleo de la información geográfica es inherente a muchos dominios de aplicación en diversas disciplinas. Dado el potencial de la información geográfica, ésta constituye una herramienta relevante para facilitar la toma de decisiones y la gestión de recursos. Existen estándares para la representación a través de modelos conceptuales de la información geográfica. Sin embargo, éstos presentan limitaciones tanto para incorporar expresividad semántica, ya que sólo consideran los aspectos técnicos; como para modelar adecuadamente aplicaciones que utilizan información geográfica, ya que no consideran todos los conceptos involucrados en el dominio geoespacial, sus características y relaciones. En este trabajo se presenta una meta-ontología que permite crear modelos semánticos enriquecidos capaces de representar y realizar inferencias sobre el conocimiento de la información geográfica.Nowadays, the use of Geographic Information is inherent in many application domains in various disciplines. Given the potential of geographic information, it is an important tool to facilitate decision making and resource management. There are different standards for representation through conceptual models of geographic information. However, these have limitation for both incorporate semantic expressiveness, since only considered the technical aspect, to properly model applications that use geographic information, because they do not consider all the concepts involved in the geospatial domain, their characteristics and relationships. This paper presents a meta-ontology that creates rich semantic models able to represent and make inferences about the knowledge of geographic information.Fil: Tolaba, Ana Carolina. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Caliusco, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; ArgentinaFil: Galli, Maria Rosa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentin
Approaching the feasibility of SBVR as modeling language for ontology development: An exploratory experiment
Get PDFOntology development techniques still constitute an open research area despite its importance in semantic aware information systems. Until now, most methods have used UML in supporting ontology development process. Recent works propose the mapping of business rules expressions to ontology statements as a building technique by means of SBVR language. However, there is still no experimental research comparing such approaches. Aim of this work is to evaluate the feasibility of mapping business domain expressions to ontology statements. An exploratory experiment comparing performance of techniques based on UML and SBVR languages is presented. Comparison is rooted in the quality assessment of the ontologies developed by 10 equally sized groups randomly conformed by 30 undergraduate engineering students and applying such techniques. Developed ontologies largely outperform the minimally acceptable quality, according to the considered quality assessment framework. There is no statistical significant difference between the quality scores of the ontologies developed by means of UML and SBVR techniques, in any of the assessed quality dimensions. The feasibility of mapping business domain expressions to ontology statements is shown: ontologies developed by means of a SBVR based approach at least equate the quality of ontologies developed by using an UML based method. Results confirm previous research about the effectiveness of UML approaches for conceptualizing lightweight ontologies while stressing the potential of the SBVR language to express complex notions of a domain of interest. The potential of SBVR to OWL 2 mappings as an ontology development technique worthy of further study is highlighted.Fil: Galli, Maria Rosa. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; ArgentinaFil: Reynares, Emiliano. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; ArgentinaFil: Caliusco, Maria Laura. Universidad Tecnologica Nacional. Facultad Regional Santa Fe. Centro de Investigacion y Desarrollo de Ingenieria en Sistemas de Informacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentin
Stakeholder´s analysis in e-learning software process development
Get PDFThe success of an e-learning project depends largely on the quality of applications and tools used to support the learning process. Meanwhile, the quality of software depends largely on proper stakeholders? identification in the requirements stage during the development process. Although some studies exist which have identified key stakeholders in e-learning domain, most of them do not perform a deep analysis of the stakeholders and their contexts, necessary to consider educational and cultural issues in this type of environment. The aim of this paper is to present the application of a method for the identification and analysis of stakeholders, which is adapted to e-learning domain. This method was used in a case study considering university environments.Fil: Romero, Lucila J.. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; ArgentinaFil: Ballejos, Luciana Cristina. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gutierrez, Maria de Los Milagros. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; ArgentinaFil: Caliusco, Maria Laura. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentin
Context-aware representation of digital twins’ data: The ontology network role
No full textA Digital Factory is made up of various Digital Twins (DTs) that interact with each other to improve decision-making. With this aim, DTs need to share accurate and high-quality data that guarantees their integration at syntactic, semantic, and semiotic levels. Effective decision-making requires consideration of the context features to which each DT belongs. In order to facilitate data exchange, this paper proposes the use of contextualized ontologies, obtained from an ontology network in which context features are made explicit.Fil: Rico, Mariela. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; ArgentinaFil: Taverna, María Laura. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; ArgentinaFil: Galli, Maria Rosa. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Caliusco, Maria Laura. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentin
Towards ontological engineering: A process for building a domain ontology from scratch in public administration
Get PDFThe state reformation that took place in the 1990s and the technological explosion have led governments to reframe their way of working so as to be able to offer new and better services for citizens. To achieve this goal, major obstacles must be overcome, such as the problem of semantic heterogeneity that leads to more difficult recovery and integration of information from different government sectors. Although in the private sector solutions to this problem through the building of ontologies have already been set out, the characteristics of government itself have led the direct application of these practices to fail. This paper presents a process for building a domain ontology in the public sector from scratch. In addition, it presents the application of this process for building an ontology for the Budgetary Domain of Santa Fe Province (Argentina).Fil: Brusa, Graciela. No especifíca;Fil: Caliusco, Maria Laura. Universidad Tecnológica Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Chiotti, Omar Juan Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentin
ANN-agent for Distributed Knowledge Source Discovery
Get PDFThis paper presents an Artificial Neural Network-based (ANN) agent with capabilities for discovering distributed knowledge sources. This agent has the responsibility of guiding knowledge requirements towards distributed ontology domains in the Semantic Web, indicating i.e. potentially partners for the establishment of a dynamic collaborative relationship. The agent performs its task through a neural network model. This work shows a proposed reference architecture, explains the ontology- matching model ANN-based for the agent and presents preliminary good results obtained.Fil: Stegmayer, Georgina. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Centro de Investigación y Desarrollo de Ingeniería en Sistemas de Información; ArgentinaFil: Caliusco, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Chiotti, Omar Juan Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Galli, Maria Rosa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentin
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