Using Semantic Web Technologies for Exploratory OLAP: A Survey
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Otros documentos de la autoría: Abelló, Alberto; Romero, Óscar; Pedersen, Torben Bach; Berlanga Llavori, Rafael; Nebot Romero, Victoria
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Metadatos
Título
Using Semantic Web Technologies for Exploratory OLAP: A SurveyAutoría
Fecha de publicación
2015-02Editor
Institute of Electrical and Electronics Engineers (IEEE)ISSN
1041-4347Cita bibliográfica
ABELLO, Alberto, et al. Using semantic web technologies for exploratory OLAP: a survey. Knowledge and Data Engineering, IEEE Transactions on, 2015, vol. 27, no 2, p. 571-588.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=Usin ...Palabras clave / Materias
Resumen
This paper describes the convergence of some of the most influential technologies in the last few years, namely data
warehousing (DW), on-line analytical processing (OLAP), and the Semantic Web (SW). OLAP is used by ... [+]
This paper describes the convergence of some of the most influential technologies in the last few years, namely data
warehousing (DW), on-line analytical processing (OLAP), and the Semantic Web (SW). OLAP is used by enterprises to derive
important business-critical knowledge from data inside the company. However, the most interesting OLAP queries can no longer be
answered on internal data alone, external data must also be discovered (most often on the web), acquired, integrated, and (analytically)
queried, resulting in a new type of OLAP, exploratory OLAP. When using external data, an important issue is knowing the precise
semantics of the data. Here, SW technologies come to the rescue, as they allow semantics (ranging from very simple to very complex)
to be specified for web-available resources. SW technologies do not only support capturing the “passive” semantics, but also support
active inference and reasoning on the data. The paper first presents a characterization of DW/OLAP environments, followed by an
introduction to the relevant SW foundation concepts. Then, it describes the relationship of multidimensional (MD) models and SW
technologies, including the relationship between MD models and SW formalisms. Next, the paper goes on to survey the use of SW
technologies for data modeling and data provisioning, including semantic data annotation and semantic-aware extract, transform, and
load (ETL) processes. Finally, all the findings are discussed and a number of directions for future research are outlined, including SW
support for intelligent MD querying, using SW technologies for providing context to data warehouses, and scalability issues. [-]
Publicado en
Knowledge and Data Engineering, IEEE Transactions on, 2015, vol. 27, no 2Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
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info:eu-repo/semantics/restrictedAccess
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