Knowledge cubes - A proposal for scalable and semantically-guided management of Big Data

Abstract—A Knowledge Cube, or cube for short, is an intelligent and adaptive database instance capable of storing, analyzing, and searching data. Each cube is established based on semantic aspects, e.g., (1) Topical, (2) Contextual, (3) Spatial, or (4) Temporal. A cube specializes in handling data that is only relevant to the cube’s semantics. Knowledge cubes are inspired by two chitectures: (1) Dataspaces that provides an abstraction for data management where heterogeneous data sources can co-exist and it requires no prespecified unifying schema, and (2) Linked Data that provides best practices for publishing and interlinking structured data on the web. A knowledge cube uses Linked Data as its main building block for its data layer and ses some of the data integration abstractions defined by Dataspaces. In this paper, knowledge cubes are proposed as a semantically-guided data management architecture, where data management is influenced by the data semantics rather than by a pre...

• Type: Journal
• Year: 2013
• Where: BIGDATACONF
• Authors: Amgad Madkour, Walid G. Aref, Saleh Basalamah
• Keywords: BIGDATACONF 2013