How to extract knowledge of Qualitative Data from Big Textual Data

Jouis Christophe, Orús-Lacort Mercedes
2021 SCIREA Journal of Computer  
In this article, we will analyze how to obtain pertinent Information in the form of Qualitative Data graphically represented from unstructured Big Textual data. Unstructured data refers to information that either does not have a pre-defined data model or is not organized in a pre-defined manner (80-90% of all information). Obviously, it is not useful to accumulate large amounts of information if we cannot find a particular piece of information. The current methods prove to be expensive and the
more » ... esults are too often inappropriate. The goal of the research described here is to present an approach for automating the detection and the extraction of meaning from unstructured data using its normalized part: Web of data & Linked Open data (LOD). On the other hand, in structured indexes, classification systems, thesauri, conceptual structures or semantic networks, relationships are too often vague. One possible SCIREA Journal of Computer
doi:10.54647/computer52243 fatcat:273dl3m4r5a5ljvngozxbwf6re