Despite rapid progress, most of the educational technologies today lack a strong instructional design knowledge basis leading to questionable quality of instruction. In addition, a major challenge is to customize these educational technologies for a wide range of instructional designs. Ontologies are one of the pertinent mechanisms to represent instructional design in the literature. However, existing approaches do not support modeling of flexible instructional designs. To address this problem, in this paper, we propose an ontology based framework for systematic modeling of different aspects of instructional design knowledge based on domain patterns. As part of the framework, we present ontologies for modeling goals, instructional processes and instructional materials. We demonstrate the ontology framework by presenting instances of the ontology for the large scale case study of adult literacy in India (287 million learners spread across 22 Indian Languages), which requires creation of 1000 similar but varied eLearning Systems based on flexible instructional designs. The implemented framework is available at http://rice.iiit.ac.in and is transferred to National Literacy Mission of Government of India. This framework could be used for modeling instructional design knowledge of systems for skills, school education and beyond.
Federal State Institution of the Federal Research Center NIISI RAS（俄罗斯科学院NIISI联邦研究中心联邦国家机构）；Kazan Federal University（喀山联邦大学）
Nowadays, distance learning technologies have become very popular. The recent pandemic has had a particularly strong impact on the development of distance education technologies. Kazan Federal University has a distance learning system based on LMS Moodle. This article describes the structure of the OntoMathEdu ecosystem aimed at improving the process of teaching school mathematics courses, and also provides a method for improving the OntoMathEdu ontology structure based on identifying new connections between contextually related concepts.
The use of Semantic Technologies - in particular the Semantic Web - has revealed to be a great tool for describing the cultural heritage domain and artistic practices. However, the panorama of ontologies for musicological applications seems to be limited and restricted to specific applications. In this research, we propose HaMSE, an ontology capable of describing musical features that can assist musicological research. More specifically, HaMSE proposes to address sues that have been affecting musicological research for decades: the representation of music and the relationship between quantitat…
Tsinghua University（清华大学）；Khoury College of Computer Sciences, Northeastern University（东北大学库利计算机科学学院）
Web and artificial intelligence technologies, especially semantic web and knowledge graph (KG), have recently raised significant attention in educational scenarios. Nevertheless, subject-specific KGs for K-12 education still lack sufficiency and sustainability from knowledge and data perspectives. To tackle these issues, we propose EDUKG, a heterogeneous sustainable K-12 Educational Knowledge Graph. We first design an interdisciplinary and fine-grained ontology for uniformly modeling knowledge and resource in K-12 education, where we define 635 classes, 445 object properties, and 1314 datatype…
Information Sciences Institute, University of Southern California（南加州大学信息科学研究所）
In recent years, Semantic Web technologies have been increasingly adopted by researchers, industry and public institutions to describe and link data on the Web, create web annotations and consume large knowledge graphs like Wikidata and DBPedia. However, there is still a knowledge gap between ontology engineers, who design, populate and create knowledge graphs; and web developers, who need to understand, access and query these knowledge graphs but are not familiar with ontologies, RDF or SPARQL. In this paper we describe the Ontology-Based APIs framework (OBA), our approach to automatically cr…
Of primary importance in formulating a response to the increasing prevalence and power of artificial intelligence (AI) applications in society are questions of ontology. Questions such as: What "are" these systems? How are they to be regarded? How does an algorithm come to be regarded as an agent? We discuss three factors which hinder discussion and obscure attempts to form a clear ontology of AI: (1) the various and evolving definitions of AI, (2) the tendency for pre-existing technologies to be assimilated and regarded as "normal," and (3) the tendency of human beings to anthropomorphize. Th…
Ontology is the explicit and formal representation of the concepts in a domain and relations among them. Transportation science is a wide domain dealing with mobility over various complex and interconnected transportation systems, such as land, aviation, and maritime transport, and can take considerable advantage from ontology development. While several studies can be found in the recent literature, there exists a large potential to improve and develop a comprehensive smart mobility ontology. The current chapter aims to present different aspects of ontology development in general, such as onto…
Macedonian Academy of Sciences and Arts（马其顿科学与艺术学院）；Ss. Cyril and Methodius University in Skopje（斯科普里圣西里尔与圣美多迪乌斯大学）
This paper addresses ontology and ethics of an AI agent called digital me. We define digital me as autonomous, decision-making, and learning agent, representing an individual and having practically immortal own life. It is assumed that digital me is equipped with the big-five personality model, ensuring that it provides a model of some aspects of a strong AI: consciousness, free will, and intentionality. As computer-based personality judgments are more accurate than those made by humans, digital me can judge the personality of the individual represented by the digital me, other individuals' pe…
An Ontology-Based Approach to Optimizing Geometry Problem Sets for Skill Development
Harvard University（哈佛大学）；Forome Association（Forome协会）；IDEXX Laboratories（爱德士实验室）；Russian School of Mathematics（俄罗斯数学学校）；Lexington High School（列克星敦高中）；Park Hill South High School（帕克希尔南高中）；Brookline High School（布鲁克莱恩高中）
Institute of Artificial Intelligence, Medical University of Vienna（维也纳医科大学人工智能研究所）
Research in artificial intelligence (AI) is addressing a growing number of tasks through a rapidly growing number of models and methodologies. This makes it difficult to keep track of where novel AI methods are successfully -- or still unsuccessfully -- applied, how progress is measured, how different advances might synergize with each other, and how future research should be prioritized. To help address these issues, we created the Intelligence Task Ontology and Knowledge Graph (ITO), a comprehensive, richly structured and manually curated resource on artificial intelligence tasks, benchmark …
St. Pölten University of Applied Sciences（圣珀尔滕应用科学大学）
Distributed ledger systems have become more prominent and successful in recent years, with a focus on blockchains and cryptocurrency. This has led to various misunderstandings about both the technology itself and its capabilities, as in many cases blockchain and cryptocurrency is used synonymously and other applications are often overlooked. Therefore, as a whole, the view of distributed ledger technology beyond blockchains and cryptocurrencies is very limited. Existing vocabularies and ontologies often focus on single aspects of the technology, or in some cases even just on one product. This …
University at Buffalo（布法罗大学）；National Center for Ontological Research（国家本体研究中心）；Institute for Artificial Intelligence and Data Science（人工智能与数据科学研究所）；Alabama Commission on Higher Education（阿拉巴马州高等教育委员会）；University of Michigan Medical School（密歇根大学医学院）；University of Florida（佛罗里达大学）；Medical College of Wisconsin（威斯康星医学院）
A semantic approach to mapping the Provenance Ontology to Basic Formal Ontology
National Center for Ontological Research（国家本体论研究中心）；Conceptual Systems（概念系统公司）；University at Buffalo（布法罗大学）；Summit Knowledge Solutions（顶峰知识解决方案公司）；University of Vienna（维也纳大学）；Institute for Artificial Intelligence and Data Science（人工智能与数据科学研究所）
The Artificial Intelligence Ontology: LLM-assisted construction of AI concept hierarchies
Lawrence Berkeley National Laboratory（劳伦斯伯克利国家实验室）；UC Berkeley（加州大学伯克利分校）；Helen Wills Neuroscience Institute（海伦·威尔斯神经科学研究所）；Redwood Center for Theoretical Neuroscience（红杉理论神经科学中心）
Montclair State University（蒙特克莱尔州立大学）；Covenant University（圣约大学）
The ability of a system to meet its requirements is a strong determinant of success. Thus effective requirements specification is crucial. Explicit Requirements are well-defined needs for a system to execute. IMplicit Requirements (IMRs) are assumed needs that a system is expected to fulfill though not elicited during requirements gathering. Studies have shown that a major factor in the failure of software systems is the presence of unhandled IMRs. Since relevance of IMRs is important for efficient system functionality, there are methods developed to aid the identification and management of IM…
Despite the large-scale uptake of semantic technologies in the biomedical domain, little is known about common modelling practices in published ontologies. OWL ontologies are often published only in the crude form of sets of axioms leaving the underlying design opaque. However, a principled and systematic ontology development life cycle is likely to be reflected in regularities of the ontology's emergent syntactic structure. To develop an understanding of this emergent structure, we propose to reverse-engineer ontologies taking a syntax-directed approach for identifying and analysing regularit…
SSBD Ontology: A Two-Tier Approach for Interoperable Bioimaging Metadata
RIKEN Information R&D and Strategy Headquarters（日本理化学研究所信息研发与战略本部）；RIKEN Bioresource Research Center（日本理化学研究所生物资源研究中心）；RIKEN Center for Biosystems Dynamics Research（日本理化学研究所生物系统动力学研究中心）
Semantics, Cybersecurity \& Services, University of Twente, The Netherlands；Business Information Systems, University of Twente, The Netherlands；DAFIST, University of Genoa, Italy
This EPTCS volume contains the proceedings of the ThEdu'19 workshop, promoted on August 25, 2019, as a satellite event of CADE-27, in Natal, Brazil. Representing the eighth installment of the ThEdu series, ThEdu'19 was a vibrant workshop, with an invited talk by Sarah Winkler, four contributions, and the first edition of a Geometry Automated Provers Competition. After the workshop an open call for papers was issued and attracted seven submissions, six of which have been accepted by the reviewers, and collected in the present post-proceedings volume. The ThEdu series pursues the smooth transiti…
This EPTCS volume contains the proceedings of the ThEdu'21 workshop, promoted on 11 July 2021, as a satellite event of CADE-28. Due to the COVID-19 pandemic, CADE-28 and all its co-located events happened as virtual events. ThEdu'21 was a vibrant workshop, with an invited talk by Gilles Dowek (ENS Paris-Saclay), eleven contributions, and one demonstration. After the workshop an open call for papers was issued and attracted 10 submissions, 7 of which have been accepted by the reviewers, and collected in the present post-proceedings volume. The ThEdu series pursues the smooth transition from an …
Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms
Institute of Health Informatics, University College London（伦敦大学学院健康信息学研究所）；Farr Institute of Health Informatics Research, University College London（伦敦大学学院法尔健康信息学研究所）
This paper presents a critical review of the challenges to the implementation of learning technologies with particular focus on developing countries. A comprehensive literature review on learning technologies was undertaken for the purpose of understanding the challenges in developing countries. The research question is: what extent does education empower learners to be full participants in a socially democratic society? The literature review identified 25 papers relevant to this topic. Challenges are interrelated and to bring about changes in developing countries, this paper proposes two educ…
When learning technologies are introduced in educational environments, it is assumed that the educational environment is culture neutral i.e, all educational environments have the same challenges, problems and cultural norms. However, it can be observed that cultural factors can influence the successful implementation and use of learning technologies. In this study the aims were to explore contextual challenges to implementing different educational technologies and to explore the effects of culture. The results of this survey suggest that Hofstede's cultural measures of uncertainty avoidance, …
The article is devoted to the topical issue of the cloud technologies implementation in educational process in general and when studying geography, in particular. The authors offer a selection of online services which can contribute to the effective acquisition of geographical knowledge in higher school. The publication describes such cloud technologies as Gapminder, DESA,Datawrapper.de, Time.Graphics, HP Reveal, MOZAIK education, Settera Online, Click-that-hood, Canva, Paint Instant. It is also made some theoretical generalization of their economic, technical, technological, didactic advantag…
This article is dedicated to the Earth Remote Sensing (ERS), which the authors believe is a great way to teach geography and allows forming an idea of the actual geographic features and phenomena. One of the major problems that now constrains the active introduction of remote sensing data in the educational process is the low availability of training aerospace pictures, which meet didactic requirements. The article analyzes the main sources of ERS as a basis for educational resources formation with aerospace images: paper, various individual sources (personal stations receiving satellite infor…
The article discusses the prospects of the augmented reality using as a component of a cloud-based environment. The research goals are the next: to explore the possibility of the augmented reality using with the involvement of the cloud-based environment components. The research objectives are the next: to consider the notion of augmented reality; to analyze the experience the augmented reality using within the cloud environment / system; to outline the prospects of the augmented reality using in educational institutions; to consider the technical conditions of the augmented reality use. The o…
Pinterest is a popular Web application that has over 250 million active users. It is a visual discovery engine for finding ideas for recipes, fashion, weddings, home decoration, and much more. In the last year, the company adopted Semantic Web technologies to create a knowledge graph that aims to represent the vast amount of content and users on Pinterest, to help both content recommendation and ads targeting. In this paper, we present the engineering of an OWL ontology---the Pinterest Taxonomy---that forms the core of Pinterest's knowledge graph, the Pinterest Taste Graph. We describe modelin…
Université de Toulouse – INSA（图卢兹大学-法国国立应用科学学院）；Institut de Mathématiques de Toulouse（图卢兹数学研究所）；IRT Saint Exupéry（圣埃克苏佩里技术研究院）
Big data, data science, deep learning, artificial intelligence are the key words of intense hype related with a job market in full evolution, that impose to adapt the contents of our university professional trainings. Which artificial intelligence is mostly concerned by the job offers? Which methodologies and technologies should be favored in the training programs? Which objectives, tools and educational resources do we needed to put in place to meet these pressing needs? We answer these questions in describing the contents and operational resources in the Data Science orientation of the speci…
Qualitative and quantitative analysis of student's perceptions in the use of generative AI in educational environments
Consejo Superior de Investigaciones Científicas（西班牙高等科学研究理事会）；Centre for Automation and Robotics-CAR (CSIC-UPM)（自动化与机器人中心（西班牙高等科学研究理事会-马德里理工大学））；Universidad Politécnica de Madrid（马德里理工大学）；Centro de Investigación e Innovación Eléctrica, Mecánica y de la Industria (CINEMI), Universidad Tecnológica de Panamá（巴拿马工业电气、机械与工业研究创新中心，巴拿马理工大学）
In this article, we present the SILKNOW project (Silk heritage in the Knowledge Society: from punched card to Big Data, Deep Learning and visual/tangible simulations) (2018-2021). This project aimed to use Semantic Web technologies to give greater visibility to silk objects produced and consumed in Europe between the 15th and 19th centuries. Silk is a particularly important material in European history, and it has produced some exceptional objects of great historical interest. However, it is a threatened heritage that is little known to the general public. We show the interest of using Semanti…
