Geo-referenced textual data has been the subject of multiple investigations, by providing opportunities to better understand certain phenomena according to the content that is shared, either on-line such as social networks, blogs, and news; or through repositories such as scientific research articles, geo-referenced virtual books, among others. However, the characteristics of this information are studied, analyzed and processed separately, either through its textual components or its geo-spatial components, which offers a separate understanding of the results. In this paper, we propose an integration of textual and geo-spatial components from the pre-processing phase to the visualization stage, As a part of the Document Mapping process based on the phases of the Knowledge Discovery in Databases (KDD). Achieving two main results (1) minimize the problems that arise in the visual phase, such as data occlusion and (2) provide a more detailed understanding between the textual relationships of the data when plotted in a geo-spatial map.
|Title of host publication||Web and Wireless Geographical Information Systems - 16th International Symposium, W2GIS 2018, Proceedings|
|Editors||Farid Karimipour, Miguel R. Luaces|
|Number of pages||10|
|State||Published - 2018|
|Event||16th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2018 - A Coruna, Spain|
Duration: 21 May 2018 → 22 May 2018
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||16th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2018|
|Period||21/05/18 → 22/05/18|
Bibliographical noteFunding Information:
The present work was achieved thanks to the joint work with my advisor, for her persistence and tenacity at the moment of sharing her teachings with me, to my distinguished teachers who have forged knowledge from the first day of classes, whom with nobility and enthusiasm influenced as an example in me and my colleagues in the master’s degree in computer science; also thanks to CONCYTEC, FONDECYT and Cienciactiva for the support and opportunities provided that made this work possible.
© Springer International Publishing AG, part of Springer Nature 2018.
- Data visualization
- Document map
- Geo-referenced data
- Textual data