Using Semantic Technology to Tame the Data Variety Challenge

被引：40

作者：

Horrocks, Ian ^{[1
]}

Giese, Martin ^{[2
]}

Kharlamov, Evgeny ^{[1
]}

Waaler, Arild ^{[2
]}

机构：

[1] Univ Oxford, Dept Comp Sci, Oxford, England

[2] Univ Oslo, Dept Informat, Oslo, Norway

来源：

IEEE INTERNET COMPUTING | 2016年 / 20卷 / 06期

关键词：

Big Data; data analytics; intelligent systems; Internet/Web technologies; linked data; OBDA; semantic technologies; Semantic Web; Web ontologies;

D O I：

10.1109/MIC.2016.121

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Data analytics can be problematic in real-world settings, where data sources are often distributed, heterogeneous, and dynamic. Semantic technologies can now offer a practical solution that addresses scalability and usability issues, and has been successfully deployed in industry applications.

引用

页码：62 / 66

页数：5

共 6 条

[1]

Bean R., 2016, MIT SLOAN REV B 0328

[2]

Crompton J., 2008, WORLD WID WEB WORKSH

[3]

Kharlamov E., 2015, P INT SEM WEB C POST

[4] Ontology Based Access to Exploration Data at Statoil [J].

Kharlamov, Evgeny ;

Hovland, Dag ;

Jimenez-Ruiz, Ernesto ;

lanti, DaviDe ;

Lie, Hallstein ;

Pinkel, Christoph ;

Rezk, Martin ;

Skjaeveland, Martin G. ;

Thorstensen, Evgenij ;

Xiao, Guohui ;

Zheleznyakov, Dmitriy ;

Horrocks, Ian .

SEMANTIC WEB - ISWC 2015, PT II, 2015, 9367 :93-112

[5]

Poggi A, 2008, LECT NOTES COMPUT SC, V4900, P133, DOI 10.1007/978-3-540-77688-8_5

[6] Ontology-Based Visual Query Formulation: An Industry Experience [J].

Soylu, Ahmet ;

Kharlamov, Evgeny ;

Zheleznyakov, Dmitriy ;

Jimenez-Ruiz, Ernesto ;

Giese, Martin ;

Horrocks, Ian .

ADVANCES IN VISUAL COMPUTING, PT I (ISVC 2015), 2015, 9474 :842-854

← 1 →