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CFP: Focussed Topic Issue on: "Educational Applications on the Web of Data"

From: Jose María Alvarez Rodríguez <chema.ar@gmail.com>
Date: Thu, 3 Mar 2016 09:32:44 +0100
Message-ID: <CABv_SBiUkmiU2qsv1XdxSigXd2Vzh1VSn=RsY1rXEp5gLGi0pg@mail.gmail.com>
To: Semantic Web <semantic-web@w3.org>
Cc: public-lod@w3.org, public-linked-json@w3.org, pedantic-web@googlegroups.com, uai@engr.orst.edu, "public-rdf-sha." <public-rdf-shapes@w3.org>
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We will appreciate if you distribute this CFP among your colleagues.



Call for Papers

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Telematics & Informatics

ISSN: ISSN: 0736-5853
2014 ISI Impact Factor: 1.120

Special Issue on

Educational Applications on the Web of Data: New trends and perspectives

SI: EduWebofData

http://www.journals.elsevier.com/telematics-and-informatics/call-for-papers/special-issue-on-educational-applications-on-the-web-of-data/


Education has become a key component of any society since it is the means
by which humanity functions and governs itself. It allows individuals to
appropriately integrate and progress into a given community. For this
reason, new ways of interaction between students and educational contents
are emerging in order to improve the quality of education. From this
perspective, information technologies are playing an increasingly crucial
role in the delivery of digital education, which in turn is driving
research into finding ever better technological solutions. The emergence of
the Web of Data and its gradual adoption in learning or education-related
settings has led to the creation of an embryonic “Web of Educational Data,”
including institutional data from universities, as well as Linked Data
about publicly available educational resources. However, while the very
nature of the Linked Data approach offers promising solutions that can
potentially transform education and learning, adoption and take-up is still
hindered by issues which are both technical as well interdisciplinary. In
this context, semantic-based technologies have emerged to afford a common
and standard data model that eases the interoperability, integration,
sharing and monitoring of knowledge-based systems. Furthermore, the Linked
Data initiative as practical view of the Semantic Web has posed the
baseline technology to easily integrate, exchange, enrich and consume data
in a distributed/federated system.

In the education domain, knowledge management is becoming critical. From
official education resources such as the ones available in Massive Open
Online Courses (MOOC) platforms to those available on the web (blog posts,
wiki, social network posts, web pages, digital newspaper, etc.), there is
an increasing need of organizing, linking, discovering, evaluating,
searching and suggesting educational contents. Moreover and due to this
huge amount of information resources, it seems clear the need of
establishing levels of confidence, trust and quality on such contents.

In the light of elevating the meaning of educational resources, semantic
technologies are considered a cornerstone to provide a new user-centric and
smart environment for Linked Data Education. Ontology models and standards
for educational data, visual tools, career plans, curriculum preparation,
searching and recommending systems, expertise ranking or e-Learning
analytics techniques are examples of services that aim to improve and
enhance existing e-Learning platforms through semantics and Linked Data.

Taking into account the emerging necessity of an intelligent and self-aware
environment to manage educational resources and the need of providing
user-centric educational services, this special issue aims to discuss the
main approaches for semantic-based knowledge management in the context of
e-Learning, as well as the principal methods, techniques and standards for
leveraging Linked Data as a key-driver of the new Digital and Linked
Education ecosystem.

The aim of this Special Issue is to investigate trends among innovative and
high-quality research regarding the implementation of conceptual
frameworks, strategies, techniques, methodologies, informatics platforms
and models applying new perspectives for developing educational
applications on the Web of Data.

The list of topics includes, but is not limited to:

-Access, navigation and (live) consumption of educational resources in the
Web of Data
-Automatic learning paths using semantic technologies
-Collaborative and continuous learning based on Linked Data
-Social and smart environments for learning processes
-Novel user-interaction techniques to manage and consume educational
resources through Linked Data
-Informal learning and Linked Data
-(Visual) learning analytics and educational data mining based on Linked
Data
-Advanced techniques and architectures to understand students behavior and
educational resources: deep learning, sentiment analysis, opinion mining,
etc.
-Personalized educational resources based on Linked Data
-Education and Learner Knowledge Graphs
-Data-driven organizational learning and learning organizations
-Legal, ethical and economic aspects of Linked Data in science and education
-Open Science and Open Access publishing based Linked Data: vocabularies
and ontologies
-Provenance, trust and quality of on-line educational resources
-Massive Open On-line Courses: discovery, search, recommendation and
trustworthiness based on Linked Data
-Case studies on implementing Linked (Open) Data in education
-Algorithms and techniques to discover, search and recommend educational
resources based on Linked Data
-Publishing and tagging educational resources in the Web of Data:
vocabularies and ontologies
-Use of standard vocabularies for science and education in the Web of Data
-Reconciliation, mapping and alignment of educational resources
-Novel data-driven architectures to integrate and offer open educational
resources
-Integration and interoperability of educational resources through Linked
Data


Important Dates


-Abstract submission deadline (1 page): July 1, 2016
-Manuscript submission deadline: September 1, 2016
-Notification of Review: November 15, 2016
-Revision due: January 15, 2017
-Notification of Final Acceptance: March 15, 2017
-Expected Publication of the Special Issue: 2017


Submission Guidelines

All submissions have to be prepared according to the Guide for Authors as
published in the Journal website at
http://www.journals.elsevier.com/telematics-and-informatics/ . Authors
should select “SI: EduWebofData”, from the “Choose Article Type” pull-down
menu during the submission process. All contributions must not have been
previously published or be under consideration for publication elsewhere. A
submission based on one or more papers that appeared elsewhere has to
comprise major value-added extensions over what appeared previously (at
least 50% new material). Authors are requested to attach to the submitted
paper their relevant, previously published articles and a summary document
explaining the enhancements made in the journal version.

All submitted papers will undergo a rigorous peer-review process that will
consider programmatic relevance, scientific quality, significance,
originality, style and clarity.

The acceptance process will focus on papers that address original
scientific contributions in the form of theoretical and experimental
research and case studies applying new perspectives for developing
educational applications on the Web of Data.


Guest Editors

Giner Alor-Hernández, Division of Research and Postgraduate Studies,
Instituto Tecnológico de Orizaba, Oriente 9 #852 Emiliano Zapata, Orizaba,
Veracruz, México. Email: galor@itorizaba.edu.mx

Jose María Alvarez-Rodríguez, Department of Engineering and Computer
Science. Carlos III University of Madrid, Avd. De la Universidad, 30,
28911, Leganés, Spain. Email:  josemaria.alvarez@uc3m.es

--
Jose María Alvarez Rodríguez
WWW: www.josemalvarez.es
Skype: josem.alvarez
Received on Thursday, 3 March 2016 08:33:25 UTC

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