Statistically-driven generation of multidimensional analytical schemas from linked data
نویسندگان
چکیده
منابع مشابه
Statistically-driven generation of multidimensional analytical schemas from linked data
The ever-increasing Linked Data (LD) initiative has given place to open, large amounts of semi-structured and rich data published on the Web. However, effective analytical tools that aid the user in his/her analysis and go beyond browsing and querying are still lacking. To address this issue, we propose the automatic generation of multidimensional analytical stars (MDAS). The success of the mul...
متن کاملGenerating Multidimensional Schemas from the Semantic Web
In this paper, we introduce a semi-automatable method aimed to find the business multidimensional concepts from an ontology representing the organization domain. With these premises, our approach falls into the Semantic Web research area, where ontologies play a key role to provide a common vocabulary describing the meaning of relevant terms and relationships among them.
متن کاملMultidimensional Schemas Quality Assessment
A data warehouse is a database focused on decision making. It is built separately from the transactional (OLTP) databases of the enterprise, although it is partly fed from transactional data. Data warehouses are typically accessed by decision makers using OLAP tools, based on a specific, multidimensional representation of data. Considering the strategic importance of data warehouses, the qualit...
متن کاملDesigning Multidimensional Cubes from Warehoused Data and Linked Open Datas
A Data Warehouse (DW) is widely used as a consistent and integrated data repository in Business Intelligence systems. Warehoused data provide only a partial view over the activities of an organization. In today's highly dynamic business context, Linked Open Data (LOD) should also be included in analyses to offer multiple perspectives to decision-makers. However, differences between DW and LOD m...
متن کاملConsolidation of Linked Data Resources upon Heterogeneous Schemas
Linked data resources have influential roles in conducting the future of semantic web. They are growing more and more, and the amount of published data is increasing at a fast pace. It causes some new concerns arise in the context of semantic web. One of the most important issues is the large amount of data that is produced as identical entities in heterogeneous data sources by different provid...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2016
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2016.07.010