Title :
Gist of Text Extraction
Author :
Mahmoudi, Khaoula ; Faiz, Sami
Author_Institution :
Lab. LTSIRS, ENIT, Tunis, Tunisia
Abstract :
The amount of spatial information we are managing is continuously in growth. Such information is increasingly used in most economic sectors by having a direct impact on productivity. Geographic information system (GIS) stores spatial data in geographic databases (GDB). Typically, such databases do not store all the data and details needed to sustain decision makers, since this entails a high cost of data processing and maintenance. In front to this situation, new technologies were proposed to pursue the relevant and timely information. Concretely, this is accomplished through data enrichment. In this context, we propose an approach to enrich the semantic aspect of the GDB. The objective is to save time in retrieving and updating the data to reflect the current state of geographic entities.
Keywords :
data mining; geographic information systems; information retrieval; GDB; GIS; data enrichment; geographic databases; geographic information system; semantic aspect; spatial information; text extraction; Data processing; Filtering; Geographic information systems; Satellites; Semantics; Spatial databases; GIS; RST analysis; data enrichment; segmentation; topic identification;
Conference_Titel :
Signal-Image Technology and Internet-Based Systems (SITIS), 2014 Tenth International Conference on
DOI :
10.1109/SITIS.2014.37