DocumentCode :
3576306
Title :
Ontology-Based Integration and Sharing of Big Data Educational Resources
Author :
Jing Xiong ; Yuntong Liu ; Wei Liu
Author_Institution :
Sch. of Comput. & Inf. Eng., Anyang Normal Univ., Anyang, China
fYear :
2014
Firstpage :
245
Lastpage :
248
Abstract :
In the era of big data, massive educational resources are stored on the internet and mobile networks. However, most of these resources are heterogeneous and decentralized, they have different format. The resources are designed for humans to read and not understandable to the machine. Their low level sharing and reuse make them difficult to acquire. How to access the resources the users need quickly and efficiently and take advantage of them is a serious problem. In order to solve the problem, an ontology-based integration educational resources framework and sharing strategies are proposed. Using the advantages of ontological semantics these educational resources can be annotated semantically, so that the computer can understand and deal with the marked information. The ontology-based integration and sharing strategies can improve the recall and precision of the educational resources retrieval.
Keywords :
Big Data; Internet; educational computing; information resources; mobile computing; ontologies (artificial intelligence); big data educational resources; educational resources retrieval precision improvement; educational resources retrieval recall improvement; internet networks; mobile networks; ontological semantics; ontology-based integration strategy; ontology-based sharing strategy; Big data; Cognition; Educational institutions; Electronic learning; Ontologies; Semantics; big data; educational resources; information retrieval; ontology; semantic integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Information System and Application Conference (WISA), 2014 11th
Print_ISBN :
978-1-4799-5726-2
Type :
conf
DOI :
10.1109/WISA.2014.51
Filename :
7058020
Link To Document :
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