About this paper

Appears in:
Pages: 6603-6607
Publication year: 2018
ISBN: 978-84-09-05948-5
ISSN: 2340-1095
doi: 10.21125/iceri.2018.2546

Conference name: 11th annual International Conference of Education, Research and Innovation
Dates: 12-14 November, 2018
Location: Seville, Spain

SOFTWARE ARCHITECTURE OF SEMANTIC RECOMMENDATION ENGINE BASED ON DATA ANALYSIS IN LEARNING MANAGEMENT SYSTEMS

A. Aleksieva-Petrova1, M. Petrov2

1Technical University (BULGARIA)
2Sofia University (BULGARIA)
We live in a world where huge amounts of data are collected every day - terabytes or petabytes of data pouring into our computer networks, Internet and various devices for data storage business, society, science and engineering, medicine and almost every other aspect of daily life. This explosive growth of information in education has become available as a result of the increasing of deployment of Learning Management Systems (LMS). These systems generate massive amounts of data, including different logs like learners’ activities, courses’ activities, course contents, student assessments results and many others. Analysis of these data is an important necessity in order to achieve better student results.

To address such problems, we propose an approach for semantic recommendation, semantic search, and semantic similar resources of different types of learning resources. To describe further and illustrate our proposed approach, a system architecture are also presented in this paper.

In order for the system to provide semantic recommendation, the available information for each learner would be used, as well as aggregated statistics on the behavior of a group of learners. The information will be extracted from the database and through machine learning techniques, the system will analyze and generate personal recommendations. On the other side to achieve , semantic search of resources containing materials related to the search term from the subject area, it will use ontology for the concepts and relationships between them in the subject area in which the educational platform is specialized.
@InProceedings{ALEKSIEVAPETROVA2018SOF,
author = {Aleksieva-Petrova, A. and Petrov, M.},
title = {SOFTWARE ARCHITECTURE OF SEMANTIC RECOMMENDATION ENGINE BASED ON DATA ANALYSIS IN LEARNING MANAGEMENT SYSTEMS},
series = {11th annual International Conference of Education, Research and Innovation},
booktitle = {ICERI2018 Proceedings},
isbn = {978-84-09-05948-5},
issn = {2340-1095},
doi = {10.21125/iceri.2018.2546},
url = {http://dx.doi.org/10.21125/iceri.2018.2546},
publisher = {IATED},
location = {Seville, Spain},
month = {12-14 November, 2018},
year = {2018},
pages = {6603-6607}}
TY - CONF
AU - A. Aleksieva-Petrova AU - M. Petrov
TI - SOFTWARE ARCHITECTURE OF SEMANTIC RECOMMENDATION ENGINE BASED ON DATA ANALYSIS IN LEARNING MANAGEMENT SYSTEMS
SN - 978-84-09-05948-5/2340-1095
DO - 10.21125/iceri.2018.2546
PY - 2018
Y1 - 12-14 November, 2018
CI - Seville, Spain
JO - 11th annual International Conference of Education, Research and Innovation
JA - ICERI2018 Proceedings
SP - 6603
EP - 6607
ER -
A. Aleksieva-Petrova, M. Petrov (2018) SOFTWARE ARCHITECTURE OF SEMANTIC RECOMMENDATION ENGINE BASED ON DATA ANALYSIS IN LEARNING MANAGEMENT SYSTEMS, ICERI2018 Proceedings, pp. 6603-6607.
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