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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

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


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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
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 "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
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.

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  3/2009 - 6

Information Structuring and Retrieval with Topic Maps for Medical E-Learning

STANESCU, L. See more information about STANESCU, L. on SCOPUS See more information about STANESCU, L. on IEEExplore See more information about STANESCU, L. on Web of Science, BURDESCU, D. See more information about BURDESCU, D. on SCOPUS See more information about BURDESCU, D. on SCOPUS See more information about BURDESCU, D. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (478 KB) | Citation | Downloads: 1,551 | Views: 4,248

Author keywords
information filtering, information visualization, multimedia databases, search process, thesauri

References keywords
topic(6), medical(6), learning(6), maps(5), information(5), science(4), retrieval(4), mesh(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2009-10-26
Volume 9, Issue 3, Year 2009, On page(s): 27 - 33
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.03006
Web of Science Accession Number: 000271872000006
SCOPUS ID: 77954635399

Abstract
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The paper presents original ways of using topic maps for information structuring and retrieval in medical e-learning domain. The topic map is mainly used for graphical visualization of the MeSH thesaurus containing medical terms. The hierarchical structure of the descriptors from MeSH thesaurus that has also multiple associative and equivalence relationships between medical terms can be properly visualized in this way. The topic map is built and populated using an original algorithm, by mapping an xml file that can be downloaded for free to an xtm file that contains the topic map. The paper also presents how to use the topic map for semantic querying of a multimedia database with medical images that are accompanied by diagnosis and treatment as important information. For retrieving the interest information for student, this access path can be combined with another modern solution: the content-based visual query on the multimedia medical database using primitive features like color and texture.


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

[1] J. Ruiz, M. J. Mintzer, and R.M. Leipzig, "The Impact of E-Learning in Medical Education", Academic Medicine, vol.81, no. 3, Lippincott Williams & Wilkins, pp. 207-212, 2006 [PubMed]

[2] J.R. Smith, and S.F Chang, "Automated image retrieval using color and texture", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) - Special Issue on Digital Libraries: Representation and Retrieval, November, 1996, http://www.ctr.columbia.edu/~jrsmith/html/pubs/PAMI/pami_final_1.html

[3] O., Matei, "Ontology-Based Knowledge Organization for the Radiograph Images Segmentation", Advances in Electrical and Computer Engineering, ISSN 1582-7445, e-ISSN 1844-7600, vol. 8, no. 1, pp. 56-61, 2008
[CrossRef] [Full Text] [SCOPUS Times Cited 9]


[4] H. Muller, N. Michoux, D. Bandon, and A. Geissbuhler, "A Review of Content based Image Retrieval Systems in Medical Application - Clinical Benefits and Future Directions", International Journal of Medical Informatics, vol. 73(1), Elsevier Science Ireland Ltd, pp.1-23, 2004 [PubMed]

[5] H. Muller, A. Rosset, A. Garcia, J.P. Vallee, and A. Geissbuhler, "Benefits of Content-based Visual Data Access in Radiology, Radio Graphics", vol.25, Radiological Society of North America, pp. 849-858, 2005
[CrossRef] [Web of Science Times Cited 51]


[6] H. Rath, "The Topic Maps Handbook", Empolis GmbH, Gutersloh, Germany, 2003

[7] D. Dicheva, C. Dichev, and W. Dandan, "Visualizing topic maps for e-learning", Advanced Learning Technologies (ICALT 2005), IEEE Computer Society, pp. 950-951, 2005
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 28]


[8] W. Dandan, D. Dicheva, C. Dichev, and J. Akouala, "Retrieving information in topic maps: the case of TM4L", ACM Southeast Regional Conference, pp. 88-93, 2007
[CrossRef] [SCOPUS Times Cited 10]


[9] L. Kolas, "Topic Maps in E-learning: An Ontology Ensuring an Active Student Role as Producer", Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, Ed/ITLib Digital Library, Association for the Advancement of Computing in Education (AACE), pp. 2107-2113, 2006

[10] K. Ahmed, "Topic Map Design Patterns For Information Architecture", December 2003, http://www.techquila.com/tmsinia.html

[11] L. M. Garshol, "Metadata? Thesauri? Taxonomies? Topic Maps!", Journal of Information Science, vol. 30, no. 4, CILIP (Chartered Institute of Library and Information Professionals), pp. 378-391, ISSN 0165-5515, 2004

[12] C. Palm, D. Keysers, T. Lehmann, and K. Spitzer, "Gabor Filtering of Complex Hue/Saturation Images For Color Texture Classification", Proc. 5 th Joint Conference on Information Science (JCIS2000), pp. 45- 49, 2000

[13] D. Zhang, A. Wong, M. Infrawan, G. Lu, "Content-Based Image Retrieval Using Gabor Texture Features", Proc IEEE Pacific-Rim Conference on Multimedia, pp. 392-395, 2000

[14] L. Stanescu, M.C. Mihaescu, D.D. Burdescu, E. Georgescu, and L. Florea, "An Improved Platform for Medical E-Learning", Lecture Notes in Computer Science 4823, Springer, pp. 392-403, 2008
[CrossRef] [SCOPUS Times Cited 8]


[15] National Library of Medicine, Medical Subject Headings, MeSH Tree Structures, 2008 http://www.nlm.nih.gov/mesh/2008/MeSHtree.C.html

[16] J.N. Stuart, W. Douglas Johnston, and L. Betsy Humphreys, "Chapter 11: Relationships in Medical Subject Headings (MeSH)", http://www.nlm.nih.gov/mesh/meshrels.html



References Weight

Web of Science® Citations for all references: 60 TCR
SCOPUS® Citations for all references: 55 TCR

Web of Science® Average Citations per reference: 4 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

Citations for references updated on 2017-09-20 20:16 in 38 seconds.




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


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