Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Cultural History
Title: The Role of Smart City Characteristics in the Plans of Fifteen Cities
Abstract: ABSTRACT This paper identifies the characteristics of smart cities as they emerge from the recent literature. It then examines whether and in what way these characteristics are present in the smart city plans of 15 cities: Amsterdam, Barcelona, London, PlanIT Valley, Stockholm, Cyberjaya, Singapore, King Abdullah Economic City, Masdar, Skolkovo, Songdo, Chicago, New York, Rio de Janeiro, and Konza. The results are presented with respect to each smart city characteristic. As expected, most strategies emphasize the role of information and communication technologies in improving the functionality of urban systems and advancing knowledge transfer and innovation networks. However, this research yields other interesting findings that may not yet have been documented across multiple case studies; for example, most smart city strategies fail to incorporate bottom-up approaches, are poorly adapted to accommodate the local needs of their area, and consider issues of privacy and security inadequately.
Extracted statement — has smart city instance: Skolkovo
Research field: Cultural History
Title: The Role of Smart City Characteristics in the Plans of Fifteen Cities
Abstract: ABSTRACT This paper identifies the characteristics of smart cities as they emerge from the recent literature. It then examines whether and in what way these characteristics are present in the smart city plans of 15 cities: Amsterdam, Barcelona, London, PlanIT Valley, Stockholm, Cyberjaya, Singapore, King Abdullah Economic City, Masdar, Skolkovo, Songdo, Chicago, New York, Rio de Janeiro, and Konza. The results are presented with respect to each smart city characteristic. As expected, most strategies emphasize the role of information and communication technologies in improving the functionality of urban systems and advancing knowledge transfer and innovation networks. However, this research yields other interesting findings that may not yet have been documented across multiple case studies; for example, most smart city strategies fail to incorporate bottom-up approaches, are poorly adapted to accommodate the local needs of their area, and consider issues of privacy and security inadequately.
Extracted statement — has smart city instance: Songdo
Research field: Cultural History
Title: Digital heritage interpretation: a conceptual framework
Abstract: ABSTRACT ‘Heritage Interpretation’ has always been considered as an effective learning, communication and management tool that increases visitors’ awareness of and empathy to heritage sites or artefacts. Yet the definition of ‘digital heritage interpretation’ is still wide and so far, no significant method and objective are evident within the domain of ‘digital heritage’ theory and discourse. Considering ‘digital heritage interpretation’ as a process rather than as a tool to present or communicate with end-users, this paper presents a critical application of a theoretical construct ascertained from multiple disciplines and explicates four objectives for a comprehensive interpretive process. A conceptual model is proposed and further developed into a conceptual framework with fifteen considerations. This framework is then implemented and tested on an online platform to assess its impact on end-users’ interpretation level. We believe the presented interpretive framework (PrEDiC) will help heritage professionals and media designers to develop interpretive heritage project.
Extracted statement — Material: tool
Research field: Cultural History
Title: Digital heritage interpretation: a conceptual framework
Abstract: ABSTRACT ‘Heritage Interpretation’ has always been considered as an effective learning, communication and management tool that increases visitors’ awareness of and empathy to heritage sites or artefacts. Yet the definition of ‘digital heritage interpretation’ is still wide and so far, no significant method and objective are evident within the domain of ‘digital heritage’ theory and discourse. Considering ‘digital heritage interpretation’ as a process rather than as a tool to present or communicate with end-users, this paper presents a critical application of a theoretical construct ascertained from multiple disciplines and explicates four objectives for a comprehensive interpretive process. A conceptual model is proposed and further developed into a conceptual framework with fifteen considerations. This framework is then implemented and tested on an online platform to assess its impact on end-users’ interpretation level. We believe the presented interpretive framework (PrEDiC) will help heritage professionals and media designers to develop interpretive heritage project.
Extracted statement — has stakeholder: Visitor
Research field: Cultural History
Title: Digital Media, Participatory Culture, and Difficult Heritage: Online Remediation and the Trans-Atlantic Slave Trade
Abstract: A diverse and changing array of digital media have been used to present heritage online. While websites have been created for online heritage outreach for nearly two decades, social media is employed increasingly to complement and in some cases replace the use of websites. These same social media are used by stakeholders as a form of participatory culture, to create communities and to discuss heritage independently of narratives offered by official institutions such as museums, memorials, and universities. With difficult or “dark” heritage—places of memory centering on deaths, disasters, and atrocities—these online representations and conversations can be deeply contested. Examining the websites and social media of difficult heritage, with an emphasis on the trans-Atlantic slave trade provides insights into the efficacy of online resources provided by official institutions, as well as the unofficial, participatory communities of stakeholders who use social media for collective memories.
Extracted statement — has communication channel: websites
Research field: Data Storage Systems
Title: EduCOR: An Educational and Career-Oriented Recommendation Ontology
Abstract: Abstract With the increased dependence on online learning platforms and educational resource repositories, a unified representation of digital learning resources becomes essential to support a dynamic and multi-source learning experience. We introduce the EduCOR ontology, an educational, career-oriented ontology that provides a foundation for representing online learning resources for personalised learning systems. The ontology is designed to enable learning material repositories to offer learning path recommendations, which correspond to the user’s learning goals and preferences, academic and psychological parameters, and labour-market skills. We present the multiple patterns that compose the EduCOR ontology, highlighting its cross-domain applicability and integrability with other ontologies. A demonstration of the proposed ontology on the real-life learning platform eDoer is discussed as a use case. We evaluate the EduCOR ontology using both gold standard and task-based approaches. The comparison of EduCOR to three gold schemata, and its application in two use-cases, shows its coverage and adaptability to multiple OER repositories, which allows generating user-centric and labour-market oriented recommendations. Resource : <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://tibonto.github.io/educor/">https://tibonto.github.io/educor/</jats:ext-link>.
Extracted statement — keywords: Education
Research field: Data Storage Systems
Title: An ontology based modeling framework for design of educational technologies
Abstract: Abstract 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 customizable 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 material . 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 hundreds of similar but varied e Learning Systems based on flexible instructional designs. The implemented framework is available at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://rice.iiit.ac.in">http://rice.iiit.ac.in</jats:ext-link> and is transferred to National Literacy Mission Authority of Government of India . The proposed framework could be potentially used for modeling instructional design knowledge for school education, vocational skills and beyond.
Extracted statement — keywords: goals
Research field: Data Storage Systems
Title: An ontology based modeling framework for design of educational technologies
Abstract: Abstract 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 customizable 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 material . 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 hundreds of similar but varied e Learning Systems based on flexible instructional designs. The implemented framework is available at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://rice.iiit.ac.in">http://rice.iiit.ac.in</jats:ext-link> and is transferred to National Literacy Mission Authority of Government of India . The proposed framework could be potentially used for modeling instructional design knowledge for school education, vocational skills and beyond.
Extracted statement — Personalisation features: Goals
Research field: Data Storage Systems
Title: EduCOR: An Educational and Career-Oriented Recommendation Ontology
Abstract: Abstract With the increased dependence on online learning platforms and educational resource repositories, a unified representation of digital learning resources becomes essential to support a dynamic and multi-source learning experience. We introduce the EduCOR ontology, an educational, career-oriented ontology that provides a foundation for representing online learning resources for personalised learning systems. The ontology is designed to enable learning material repositories to offer learning path recommendations, which correspond to the user’s learning goals and preferences, academic and psychological parameters, and labour-market skills. We present the multiple patterns that compose the EduCOR ontology, highlighting its cross-domain applicability and integrability with other ontologies. A demonstration of the proposed ontology on the real-life learning platform eDoer is discussed as a use case. We evaluate the EduCOR ontology using both gold standard and task-based approaches. The comparison of EduCOR to three gold schemata, and its application in two use-cases, shows its coverage and adaptability to multiple OER repositories, which allows generating user-centric and labour-market oriented recommendations. Resource : <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://tibonto.github.io/educor/">https://tibonto.github.io/educor/</jats:ext-link>.
Extracted statement — keywords: ontology
Research field: Data Storage Systems
Title: An ontology based modeling framework for design of educational technologies
Abstract: Abstract 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 customizable 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 material . 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 hundreds of similar but varied e Learning Systems based on flexible instructional designs. The implemented framework is available at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://rice.iiit.ac.in">http://rice.iiit.ac.in</jats:ext-link> and is transferred to National Literacy Mission Authority of Government of India . The proposed framework could be potentially used for modeling instructional design knowledge for school education, vocational skills and beyond.
Extracted statement — keywords: ontology
Research field: Data Storage Systems
Title: EduCOR: An Educational and Career-Oriented Recommendation Ontology
Abstract: Abstract With the increased dependence on online learning platforms and educational resource repositories, a unified representation of digital learning resources becomes essential to support a dynamic and multi-source learning experience. We introduce the EduCOR ontology, an educational, career-oriented ontology that provides a foundation for representing online learning resources for personalised learning systems. The ontology is designed to enable learning material repositories to offer learning path recommendations, which correspond to the user’s learning goals and preferences, academic and psychological parameters, and labour-market skills. We present the multiple patterns that compose the EduCOR ontology, highlighting its cross-domain applicability and integrability with other ontologies. A demonstration of the proposed ontology on the real-life learning platform eDoer is discussed as a use case. We evaluate the EduCOR ontology using both gold standard and task-based approaches. The comparison of EduCOR to three gold schemata, and its application in two use-cases, shows its coverage and adaptability to multiple OER repositories, which allows generating user-centric and labour-market oriented recommendations. Resource : <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://tibonto.github.io/educor/">https://tibonto.github.io/educor/</jats:ext-link>.
Extracted statement — Personalisation features: recommendation
Research field: Data Storage Systems
Title: An ontology based modeling framework for design of educational technologies
Abstract: Abstract 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 customizable 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 material . 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 hundreds of similar but varied e Learning Systems based on flexible instructional designs. The implemented framework is available at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://rice.iiit.ac.in">http://rice.iiit.ac.in</jats:ext-link> and is transferred to National Literacy Mission Authority of Government of India . The proposed framework could be potentially used for modeling instructional design knowledge for school education, vocational skills and beyond.
Extracted statement — keywords: scale
Research field: Data Storage Systems
Title: EduCOR: An Educational and Career-Oriented Recommendation Ontology
Abstract: Abstract With the increased dependence on online learning platforms and educational resource repositories, a unified representation of digital learning resources becomes essential to support a dynamic and multi-source learning experience. We introduce the EduCOR ontology, an educational, career-oriented ontology that provides a foundation for representing online learning resources for personalised learning systems. The ontology is designed to enable learning material repositories to offer learning path recommendations, which correspond to the user’s learning goals and preferences, academic and psychological parameters, and labour-market skills. We present the multiple patterns that compose the EduCOR ontology, highlighting its cross-domain applicability and integrability with other ontologies. A demonstration of the proposed ontology on the real-life learning platform eDoer is discussed as a use case. We evaluate the EduCOR ontology using both gold standard and task-based approaches. The comparison of EduCOR to three gold schemata, and its application in two use-cases, shows its coverage and adaptability to multiple OER repositories, which allows generating user-centric and labour-market oriented recommendations. Resource : <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://tibonto.github.io/educor/">https://tibonto.github.io/educor/</jats:ext-link>.
Extracted statement — keywords: Skill
Research field: Data Storage Systems
Title: EduCOR: An Educational and Career-Oriented Recommendation Ontology
Abstract: Abstract With the increased dependence on online learning platforms and educational resource repositories, a unified representation of digital learning resources becomes essential to support a dynamic and multi-source learning experience. We introduce the EduCOR ontology, an educational, career-oriented ontology that provides a foundation for representing online learning resources for personalised learning systems. The ontology is designed to enable learning material repositories to offer learning path recommendations, which correspond to the user’s learning goals and preferences, academic and psychological parameters, and labour-market skills. We present the multiple patterns that compose the EduCOR ontology, highlighting its cross-domain applicability and integrability with other ontologies. A demonstration of the proposed ontology on the real-life learning platform eDoer is discussed as a use case. We evaluate the EduCOR ontology using both gold standard and task-based approaches. The comparison of EduCOR to three gold schemata, and its application in two use-cases, shows its coverage and adaptability to multiple OER repositories, which allows generating user-centric and labour-market oriented recommendations. Resource : <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://tibonto.github.io/educor/">https://tibonto.github.io/educor/</jats:ext-link>.
Extracted statement — Has evaluation: task-based
Research field: Databases/Information Systems
Title: A method for eliminating articles by homonymous authors from the large number of articles retrieved by author search
Abstract: This paper proposes a methodology which discriminates the articles by the target authors (“true” articles) from those by other homonymous authors (“false” articles). Author name searches for 2,595 “source” authors in six subject fields retrieved about 629,000 articles. In order to extract true articles from the large amount of the retrieved articles, including many false ones, two filtering stages were applied. At the first stage any retrieved article was eliminated as false if either its affiliation addresses had little similarity to those of its source article or there was no citation relationship between the journal of the retrieved article and that of its source article. At the second stage, a sample of retrieved articles was subjected to manual judgment, and utilizing the judgment results, discrimination functions based on logistic regression were defined. These discrimination functions demonstrated both the recall ratio and the precision of about 95% and the accuracy (correct answer ratio) of 90–95%. Existence of common coauthor(s), address similarity, title words similarity, and interjournal citation relationships between the retrieved and source articles were found to be the effective discrimination predictors. Whether or not the source author was from a specific country was also one of the important predictors. Furthermore, it was shown that a retrieved article is almost certainly true if it was cited by, or cocited with, its source article. The method proposed in this study would be effective when dealing with a large number of articles whose subject fields and affiliation addresses vary widely. © 2011 Wiley Periodicals, Inc.
Extracted statement — Performance metric: Accuracy