Interlinking educational resources to Web of Data through IEEE LOM

The emergence of Web of Data enables new opportunities for relating resources identified by URIs combined with the usage of RDF as a lingua franca for describing them. There have been to date some efforts in the direction of exposing learning object metadata following the conventions of Linked Data. However, they have not addressed an analysis on the different strategies to expose Linked Data that could be used as a basis for leveraging the metadata currently curated in repositories following common conventions and established standards. This paper describes an approach for exposing IEEE LOM metadata as Linked Data and discusses alternative strategies and their tradeoffs. The recommended approach applies common principles for Linked Data to the specificities of LOM data types and elements, identifying opportunities for interlinking exhaustively. A case study and a reference implementation along with an evaluation are also presented as a proof of concept of this mapping.

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Knowledge Organization and Representation under the AI Lens

Journal of Data and Information Science ◽

10.2478/jdis-2020-0002 ◽

2020 ◽

Vol 5 (1) ◽

pp. 3-17

Author(s):

Jian Qin

Keyword(s):

Linked Data ◽

Information Science ◽

Knowledge Organization ◽

Library And Information Science ◽

Proof Of Concept ◽

Primary Method ◽

Methods And Techniques ◽

Preliminary Research ◽

Practical Implications

AbstractPurposeThis paper compares the paradigmatic differences between knowledge organization (KO) in library and information science and knowledge representation (KR) in AI to show the convergence in KO and KR methods and applications.MethodologyThe literature review and comparative analysis of KO and KR paradigms is the primary method used in this paper.FindingsA key difference between KO and KR lays in the purpose of KO is to organize knowledge into certain structure for standardizing and/or normalizing the vocabulary of concepts and relations, while KR is problem-solving oriented. Differences between KO and KR are discussed based on the goal, methods, and functions.Research limitationsThis is only a preliminary research with a case study as proof of concept.Practical implicationsThe paper articulates on the opportunities in applying KR and other AI methods and techniques to enhance the functions of KO.Originality/value:Ontologies and linked data as the evidence of the convergence of KO and KR paradigms provide theoretical and methodological support to innovate KO in the AI era.

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A learning object ontology repository to support annotation and discovery of educational resources using semantic thesauri

IFLA Journal ◽

10.1177/0340035217737559 ◽

2017 ◽

Vol 44 (1) ◽

pp. 4-22 ◽

Cited By ~ 5

Author(s):

Dimitrios A. Koutsomitropoulos ◽

Georgia D. Solomou

Keyword(s):

Linked Data ◽

Learning Objects ◽

Open Educational Resources ◽

Educational Resources ◽

Learning Object ◽

Management Tools ◽

Ontology Repository ◽

Web Of Data ◽

Object Ontology ◽

Knowledge Value

Open educational resources are currently becoming increasingly available from a multitude of sources and are consequently annotated in many diverse ways. Interoperability concerns that naturally arise can often be resolved through the semantification of metadata descriptions, while at the same time strengthening the knowledge value of resources. SKOS can be a solid linking point offering a standard vocabulary for thematic descriptions, by referencing semantic thesauri. We propose the enhancement and maintenance of educational resources’ metadata in the form of learning object ontologies and introduce the notion of a learning object ontology repository that can help towards their publication, discovery and reuse. At the same time, linking to thesauri datasets and contextualized sources interrelates learning objects with linked data and exposes them to the Web of Data. We build a set of extensions and workflows on top of contemporary ontology management tools, such as WebProtégé, that can make it suitable as a learning object ontology repository. The proposed approach and implementation can help libraries and universities in discovering, managing and incorporating open educational resources and enhancing current curricula.

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Design principles for authoring dynamic, reusable learning objects

Australasian Journal of Educational Technology ◽

10.14742/ajet.1690 ◽

2003 ◽

Vol 19 (1) ◽

Cited By ~ 21

Author(s):

Tom Boyle

Keyword(s):

Software Engineering ◽

Design Principles ◽

Learning Objects ◽

Title Page ◽

Learning Object ◽

Learning Object Metadata ◽

Reusable Learning Objects ◽

The Creation ◽

Considerable Work

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>The aim of this paper is to delineate a coherent framework for the authoring of re-purposable learning objects. The approach is orthogonal to the considerable work into learning object metadata and packaging conducted by bodies such as IMS, ADL and the IEEE. The 'learning objects' and standardisation work has been driven largely by adding packaging and metadata to pre-constructed learning artefacts. This work is very valuable. The argument of this paper, however, is that these developments must be supplemented by significant changes in the creation of learning objects. The principal aim of this paper is to delineate authoring principles for reuse and repurposing. The principles are based on a synthesis of ideas from pedagogy and software engineering. These principles are outlined and illustrated from a case study in the area of learning to program in Java.</span></p></div></div></div>

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Evaluasi Aksesibilitas Learning Object Berdasarkan Web Content Accessibility Guidelines 2.0

Jurnal ULTIMATICS ◽

10.31937/ti.v9i2.602 ◽

2017 ◽

Vol 9 (2) ◽

pp. 67-71

Author(s):

Herru Darmadi ◽

Yan Fi ◽

Hady Pranoto

Keyword(s):

Learning Objects ◽

Authoring Tool ◽

Learning Object ◽

Web Content ◽

Web Browser ◽

E Learning ◽

Index Terms ◽

Accessibility Guidelines ◽

Content Accessibility

Learning Object (LO) is a representation of interactive content that are used to enrich e-learning activities. The goals of this case study were to evaluate accessibility and compatibility factors from learning objects that were produced by using BINUS E-learning Authoring Tool. Data were compiled by using experiment to 30 learning objects by using stratified random sampling from seven faculties in undergraduate program. Data were analyzed using accessibility and compatibility tests based on Web Content Accessibility Guidelines 2.0 Level A. Results of the analysis for accessibility and compatibility tests of Learning Objects was 90% better than average. The result shows that learning objects is fully compatible with major web browser. This paper also presents five accessibility problems found during the test and provide recommendation to overcome the related problems. It can be concluded that the learning objects that were produced using BINUS E-learning Authoring Tool have a high compatibility, with minor accessibility problems. Learning objects with a good accessibility and compatibility will be beneficial to all learner with or without disabilities during their learning process. Index Terms—accessibility, compatibility, HTML, learning object, WCAG2.0, web

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When is a Proof-of-Concept (POC) not a POC? Pomaglumetad (LY2140023) as a Case Study for Antipsychotic Efficacy

Current Pharmaceutical Design ◽

10.2174/1381612821666150605105632 ◽

2015 ◽

Vol 21 (26) ◽

pp. 3788-3796 ◽

Cited By ~ 4

Author(s):

Gerard Marek

Keyword(s):

Proof Of Concept ◽

Antipsychotic Efficacy

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Enhanced metrics for temporal dimensions toward assessing Linked Data: A Case Study of Wikidata

Journal of King Saud University - Computer and Information Sciences ◽

10.1016/j.jksuci.2021.05.010 ◽

2021 ◽

Author(s):

Ferradji Mohamed Amine ◽

Fouzia Benchikha

Keyword(s):

Linked Data ◽

Temporal Dimensions

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Integrating publicly available information to screen potential candidates for chemical prioritization under the Toxic Substances Control Act: A proof of concept case study using genotoxicity and carcinogenicity

Computational Toxicology ◽

10.1016/j.comtox.2021.100185 ◽

2021 ◽

pp. 100185

Author(s):

Grace Patlewicz ◽

Jeffry L. Dean ◽

Catherine F. Gibbons ◽

Richard S. Judson ◽

Nagalakshmi Keshava ◽

...

Keyword(s):

Toxic Substances ◽

Proof Of Concept ◽

Toxic Substances Control Act ◽

Available Information

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Extracting insights from big social data for smarter tourism destination management

Measuring Business Excellence ◽

10.1108/mbe-11-2020-0156 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Gianluca Solazzo ◽

Ylenia Maruccia ◽

Gianluca Lorenzo ◽

Valentina Ndou ◽

Pasquale Del Vecchio ◽

...

Keyword(s):

Heterogeneous Data ◽

Destination Image ◽

Data Types ◽

Social Data ◽

Content Type ◽

Management And Development ◽

Destination Attractiveness ◽

Tourist Demand ◽

Tourist Behaviour

Purpose This paper aims to highlight how big social data (BSD) and analytics exploitation may help destination management organisations (DMOs) to understand tourist behaviours and destination experiences and images. Gathering data from two different sources, Flickr and Twitter, textual and visual contents are used to perform different analytics tasks to generate insights on tourist behaviour and the affective aspects of the destination image. Design/methodology/approach This work adopts a method based on a multimodal approach on BSD and analytics, considering multiple BSD sources, different analytics techniques on heterogeneous data types, to obtain complementary results on the Salento region (Italy) case study. Findings Results show that the generated insights allow DMOs to acquire new knowledge about discovery of unknown clusters of points of interest, identify trends and seasonal patterns of tourist demand, monitor topic and sentiment and identify attractive places. DMOs can exploit insights to address its needs in terms of decision support for the management and development of the destination, the enhancement of destination attractiveness, the shaping of new marketing and communication strategies and the planning of tourist demand within the destination. Originality/value The originality of this work is in the use of BSD and analytics techniques for giving DMOs specific insights on a destination in a deep and wide fashion. Collected data are used with a multimodal analytic approach to build tourist characteristics, images, attitudes and preferred destination attributes, which represent for DMOs a unique mean for problem-solving, decision-making, innovation and prediction.

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DERIVING AND SCHEDULING COMMUNICATION OPERATIONS FOR GENERIC SKELETON IMPLEMENTATIONS

Parallel Processing Letters ◽

10.1142/s0129626405002258 ◽

2005 ◽

Vol 15 (03) ◽

pp. 337-352 ◽

Cited By ~ 3

Author(s):

THOMAS NITSCHE

Keyword(s):

Iterative Solution ◽

Synchronous Communication ◽

Data Types ◽

Communication Scheduling ◽

Overlapping Data ◽

Abstract Notion ◽

Algebraic Data Types ◽

Data Elements ◽

Communication Operations

Data distributions are an abstract notion for describing parallel programs by means of overlapping data structures. A generic data distribution layer serves as a basis for implementing specific data distributions over arbitrary algebraic data types and arrays as well as generic skeletons. The necessary communication operations for exchanging overlapping data elements are derived automatically from the specification of the overlappings. This paper describes how the communication operations used internally by the generic skeletons are derived, especially for the asynchronous and synchronous communication scheduling. As a case study, we discuss the iterative solution of PDEs and compare a hand-coded MPI version with a skeletal one based on overlapping data distributions.

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