TY - GEN
T1 - Ontology-based learning object searching technique with granular feature extraction
AU - Paramartha, A. A.Gede Yudhi
AU - Santoso, Harry Budi
AU - Hasibuan, Zainal Arifin
N1 - Publisher Copyright:
Copyright 2014 ACM.
PY - 2014/12/4
Y1 - 2014/12/4
N2 - The development of e-learning cannot be separated from the creation of learning objects which are always improving and more diverse. In this study, we propose a technique to perform learning object searching that use a granular learning object concept using ontology representation. The concept of granular learning objects is done by separating the materials with their sub-materials. A semantic web-based search engine is also used to explore existing learning objects. The result of the research shows that the implementation of granular leaning object ontology, and semantic web-based search engine, can improve searching performance by 29,7% better than search engine which uses document index-based searching technique. The search results do not only show the general description of a learning object, but can also show the sub-materials and the relationships among those materials. An information in the form of pictures and their descriptions about the retrieved learning object can also be displayed.
AB - The development of e-learning cannot be separated from the creation of learning objects which are always improving and more diverse. In this study, we propose a technique to perform learning object searching that use a granular learning object concept using ontology representation. The concept of granular learning objects is done by separating the materials with their sub-materials. A semantic web-based search engine is also used to explore existing learning objects. The result of the research shows that the implementation of granular leaning object ontology, and semantic web-based search engine, can improve searching performance by 29,7% better than search engine which uses document index-based searching technique. The search results do not only show the general description of a learning object, but can also show the sub-materials and the relationships among those materials. An information in the form of pictures and their descriptions about the retrieved learning object can also be displayed.
KW - Granular
KW - Learning object
KW - Ontology
KW - Semantic web
UR - http://www.scopus.com/inward/record.url?scp=84985905621&partnerID=8YFLogxK
U2 - 10.1145/2684200.2684293
DO - 10.1145/2684200.2684293
M3 - Conference contribution
AN - SCOPUS:84985905621
T3 - ACM International Conference Proceeding Series
SP - 395
EP - 400
BT - 16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014 - Proceedings
A2 - Indrawan-Santiago, Maria
A2 - Khalil, Ismail
A2 - Nguyen, Hong-Quang
A2 - Tjoa, A Min
A2 - Steinbauer, Matthias
A2 - Anderst-Kotsis, Gabriele
PB - Association for Computing Machinery
T2 - 16th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2014
Y2 - 4 December 2014 through 6 December 2014
ER -