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- 134 creator alejandro-vaisman.
- 134 creator lorena-etcheverry.
- 134 type InProceedings.
- 134 label "Enhancing OLAP Analysis with Web Cubes".
- 134 sameAs 134.
- 134 abstract "Traditional On-Line Analytical Processing (OLAP) tools have proven to be successful in analyzing large sets of enterprise data. For today's business dynamics, sometimes these highly curated data is not enough. External data (particularly web data), may be useful to enhance local analysis. In this paper we discuss the extraction of multidimensional data from web sources, and their representation in RDFS. We introduce Open Cubes, an RDFS vocabulary for the specification and publication of multidimensional cubes on the Semantic Web, and show how classical OLAP operations can be implemented over Open Cubes using SPARQL 1.1, without the need of mapping the multidimensional information to the local database (the usual approach to multidimensional analysis of Semantic Web data). We show that our approach is plausible for the data sizes that can usually be retrieved to enhance local data repositories.".
- 134 hasAuthorList authorList.
- 134 isPartOf proceedings.
- 134 keyword "OLAP".
- 134 keyword "data analysis".
- 134 keyword "web data".
- 134 title "Enhancing OLAP Analysis with Web Cubes".