Virtual Dataspace -- A Service Oriented Model for Scientific Big Data

Author

Wei Lin ; Changjun Hu ; Yang Li ; Xin Cheng

Author_Institution

Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China

fYear

2013

fDate

9-11 Sept. 2013

Firstpage

1

Lastpage

5

Abstract

The massive, distributed, heterogeneous and diverse features of big data have raised challenges to traditional data management systems. As the development and innovation of Data Space, virtual data space (VDS) model is proposed for big data management. Local ontologies are created from data sources. Then the local ontologies are mapped and formed a global ontology. Based on this, access log and user feedback are considered for data evolution. At last, a material scientists-oriented service (materials scholar assistant) is introduced as the application case of VDS.

Keywords

distributed databases; ontologies (artificial intelligence); access log; data evolution; data management systems; global ontology; local ontologies; material scientists-oriented service; scientific big data; service oriented model; user feedback; virtual dataspace; Distributed databases; Information management; Materials; OWL; Ontologies; Semantics; XML; big data; dataspace; scientific data management; virtual dataspace;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Intelligent Data and Web Technologies (EIDWT), 2013 Fourth International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4799-2140-9

Type

conf

DOI

10.1109/EIDWT.2013.5

Filename

6631582