Proceso de transformación y visualización de datos semánticos a datos dimensionales

Abstract

The semantic web has been well received to be an alternative in the storage of data, unlike the relational databases, the semantic web allows the data to have meaning for both people and computers. The REDI project, later explained, uses this form of storage, the data are annotated semantically on an ontology that serves to store data of publications and authors that are the objective of this project, these data are on a semantic structure in RDF format. One of the problems that has been identified when having the data about the structure in RDF is the response time when executing queries on the central graph that stores the information, since these are static, the language used to access the semantic data is The SPARQL language. This thesis intended to use a second alternative for storing semantic data, also this alternative aims to solve the problem of response times using multidimensional structures to carry out this transformation of storage structures the W3C proposes the vocabulary of Cube Of Data that allows the data to be stored under a multidimensional semantic structure, allowing in this way that the queries are more dynamic and thus reducing the response times when accessing the data. Taking the data stored in the Data Cube is born the need to visualize them, Data Cubes have the advantage that the structure allows them to be displayed statistically, therefore for the visualization is used, in this case, tools that are specific for this purpose, for example OpenCube Toolkit.