Scalable methods to analyze Semantic Web data

被引:0
作者
Nebot Romero, Victoria [1 ]
机构
[1] Univ Jaume 1, Lenguajes & Sistemas Informat, Castellon de La Plana 12071, Spain
关键词
Semantic Web; ontologies; description logics; OWL; ontology modularization; multidimensional analysis; scalability;
D O I
10.3233/AIC-150669
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Semantic Web data is currently being heavily used as a data representation format in scientific communities, social networks, business companies, news portals and other domains. The irruption and availability of Semantic Web data is demanding new methods and tools to efficiently analyze such data and take advantage of the underlying semantics. Although there exist some applications that make use of Semantic Web data, advanced analytical tools are still lacking, preventing the user from exploiting the attached semantics. The main objective of this dissertation is to provide a formal framework that enables the multidimensional analysis of Semantic Web data in a scalable and efficient manner. The success of multidimensional analysis techniques applied to large volumes of structured data in the context of business intelligence, especially for data warehousing and OLAP applications, has prompted us to investigate the application of such techniques to Semantic Web data, whose nature is semi-structured and contain implicit knowledge.
引用
收藏
页码:473 / 475
页数:3
相关论文
共 5 条
[1]  
Berlanga R, 2012, BUSINESS INTELLIGENCE APPLICATIONS AND THE WEB: MODELS, SYSTEMS AND TECHNOLOGIES, P310, DOI 10.4018/978-1-61350-038-5.ch014
[2]   The Semantic Web - A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities [J].
Berners-Lee, T ;
Hendler, J ;
Lassila, O .
SCIENTIFIC AMERICAN, 2001, 284 (05) :34-+
[3]  
Codd EF, 1993, PROVIDING OLAP ON LI
[4]  
Kimball R., 2013, DATA WAREHOUSE TOOLK
[5]  
Nebot V., 2013, THESIS U JAUME 1 CAS