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JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
Current issue: Nov 2016
Next issue: Feb 2017
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
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A Blind High-Capacity Wavelet-Based Steganography Technique for Hiding Images into other Images, HAMAD, S., KHALIFA, A., ELHADAD, A.
Issue 2/2014


Single-phase Multilevel Current Source Inverter with Reduced Device Count and Current Balancing Capability, MOALLEMI KHIAVI, A., FARHADI KANGARLU, M., DAIE KOOZEHKANANI, Z., SOBHI, J., HOSSEINI, S. H.
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A Framework for Hardware-Accelerated Services Using Partially Reconfigurable SoCs, MACHIDON, O. M., HINTEA, S., SANDU, F.
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Location of Fraudulent Branch Lines or Faults in Short-Length Low Voltage Lines, ESCOBEDO, J., MEDINA, A., HERNANDEZ, J.-C., ALMONACID, G., VIDAL, P.
Issue 3/2014


FIR Filter Sharpening by Frequency Masking and Pipelining-Interleaving Technique, CIRIC, M. P., RADONJIC, V. M., KRNETA, R. R., STEFANOVIC, N. J.
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With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "Big Data - " before the paper title in OpenConf.

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IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

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  3/2013 - 4

Building a Module for Inserting Microformats into Moodle

ERMALAI, I. See more information about ERMALAI, I. on SCOPUS See more information about ERMALAI, I. on IEEExplore See more information about ERMALAI, I. on Web of Science, DRAGULESCU, B. See more information about  DRAGULESCU, B. on SCOPUS See more information about  DRAGULESCU, B. on SCOPUS See more information about DRAGULESCU, B. on Web of Science, TERNAUCIUC, A. See more information about  TERNAUCIUC, A. on SCOPUS See more information about  TERNAUCIUC, A. on SCOPUS See more information about TERNAUCIUC, A. on Web of Science, VASIU, R. See more information about VASIU, R. on SCOPUS See more information about VASIU, R. on SCOPUS See more information about VASIU, R. on Web of Science
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Download PDF pdficon (651 KB) | Citation | Downloads: 306 | Views: 1,480

Author keywords
content management, electronic learning, information representation, semantic Web, Web services

References keywords
learning(10), semantic(7), microformats(4), linked(4), data(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-08-31
Volume 13, Issue 3, Year 2013, On page(s): 23 - 26
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03004
Web of Science Accession Number: 000326321600004
SCOPUS ID: 84884947698

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Information found nowadays on the World Wide Web is generally regarded as limitless. Hence emerged the need to find methods for organizing data in order to get better information retrieval. Organizing web content does not implicitly mean structuring data by attaching meaning to the information published on the web - at least not yet. For instance, content management systems (CMS) are tools that provide means of organizing web data. Nevertheless only a handful of CMSs have a semantic layer. The following paper offers an in-depth description of the logic and the implementation behind the method used to integrate microformats - also known as the lower-case semantic web- into the widely known learning content management system Moodle, personalized to suit the needs of students attending the Politehnica University of Timisoara. It is an easy to use, easy to integrate solution that does not require any changes in the core of Moodle and, moreover, it does not overrun the server, as the decision block runs on the users' computer.

References | Cited By  «-- Click to see who has cited this paper

[1] T. Berners-Lee, J. Hendler, and O. Lassila, "The Semantic Web," in Scientific American New York, 2001.

[2] R. Khare and T. Çelik, "Microformats: a pragmatic path to the semantic web," in Proceedings of the 15th international conference on World Wide Web, Edinburgh, Scotland, 2006, pp. 865 - 866
[CrossRef] [SCOPUS Times Cited 59]

[3] J. Hebeler, M. Fisher, R. Blace, and A. Perez-Lopez, Semantic Web Programming: Wiley Publishing, Inc., 2009.

[4] E. Lewis, Microformats Made Simple. Berkeley, 2009.

[5] T. Çelik, "Microformats, Building Blocks, and You," 2007.

[6], "Moodle Statistics." vol. 2012.

[7] I. Ermalai, M. Mocofan, M. Onita, and R. Vasiu, "Adding Semantics to Online Learning Environments," in 5th International Symposium on Applied Computational Intelligence and Informatics - SACI2009, Timisoara, Romania, 2009, pp. 569-573.

[8] B. Dragulescu, I. Ermalai, M. Bucos, and M. Mocofan, "Using hCard and vCard for improving usability in Moodle," in 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI 2011), Timisoara, Romania, 2011, pp. 463-476.
[CrossRef] [SCOPUS Times Cited 1]

[9] S. Lukichev, I.-M. Diaconescu, and A. Giurca, "Empowering Moodle with Rules and Semantics," in SFSW, 2007.

[10] O. Mustapasa, D. Karahoca, A. Karahoca, A. Yücel, and H. Uzunboylu, "Implementation of Semantic Web Mining on E-Learning," Procedia - Social and Behavioral Sciences, vol. 2, pp. 5820-5823, 2010.

[11] S. Leone, "Characterisation of a Personal Learning Environment as a lifelong learning tool," Universita Politecnica delle Marche, Extended summary 2011.

[12] R. R. d. Oliveira, "Use of Twitter and Semantic Resource Recovery in the Educational Context," in 2012 IEEE 21st International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, Toulouse, Cedex 04, France, 2012, pp. 468-473.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]

[13] A. Rodríguez-Rodríguez, L. Cruz-García, C. Hernández-Guerra, and F. Quintana-Domínguez, "How Semantics can Improve e-Learning Tools," in IADIS International Conference WWW/Internet, MURCIA, SPAIN, 2006, pp. 364-366.

[14] M. Hendrix, A. Protopsaltis, I. Dunwell, S. de Freitas, P. Petridis, S. Arnab, N. Dovrolis, E. Kaldoudi, D. Taibi, and E. Mitsopoulou, "Technical Evaluation of The mEducator 3.0 Linked Data-based Environment for Sharing Medical Educational Resources," 2011.

[15] C. Bratsas, P. Bamidis, A. Dimou, I. Antoniou, and L. Ioannidis, "Semantic CMS and Wikis as Platforms for Linked Learning," in World Wide Web Lyon, France, 2012.

[16] P. D. Bamidis, S. T. Konstantinidis, C. Bratsas, and M. S. Iyengar, "Federating learning management systems for medical education: A persuasive technologies perspective," in Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on, 2011, pp. 1-6.

[17] I. Hickson, "HTML Microdata - W3C Working Draft 29 March 2012," W3C, 2012.

[18] Tomas Steiner, Raphael Troncy, and Michael Hausenblas, "How Google is using Linked Data Today and Vision For Tomorrow," in Linked Data in the Future Internet, Ghent, Belgium, 2010.

[19] K. Goel, R. V. Guha, and O. Hansson, "Introducing Rich Snippets," G. W. C. Blog, Ed., 2009.

[20] G. Graham, "E-learning: a philosophical enquiry," Education + Training, vol. 46, pp. 308 - 314, 2004.

[21] W. C. W. Group, "RDFa 1.1 Primer Rich Structured Data Markup for Web Documents," 2012.

[22] V. Tomberg and M. Laanpere, "RDFa versus Microformats: Exploring the Potential for Semantic Interoperability of Mash-up Personal Learning Environments," in Second International Workshop on Mashup Personal Learning Environments (MUPPLE09), Nice, France, 2009.

[23] C. Bizer, "D2RQ - Accessing Relational Databases as Virtual RDF Graphs."

References Weight

Web of Science® Citations for all references: 1 TCR
SCOPUS® Citations for all references: 61 TCR

Web of Science® Average Citations per reference: 0 ACR
SCOPUS® Average Citations per reference: 3 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

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