TY - JOUR
T1 - ANIMITEX project
T2 - 1st Symposium on Information Management and Big Data, SIMBig 2014
AU - Alatrista-Salas, Hugo
AU - Kergosien, Eric
AU - Roche, Mathieu
AU - Teisseire, Maguelonne
PY - 2014/1/1
Y1 - 2014/1/1
N2 - With the amount of textual data available on the web, new methodologies of knowledge extraction domain are provided. Some original methods allow the users to combine different types of data in order to extract relevant information. In this context, this paper draws the main objectives of the ANIMITEX project which combines spatial and textual data. The data preprocessing step is detailed.
AB - With the amount of textual data available on the web, new methodologies of knowledge extraction domain are provided. Some original methods allow the users to combine different types of data in order to extract relevant information. In this context, this paper draws the main objectives of the ANIMITEX project which combines spatial and textual data. The data preprocessing step is detailed.
KW - Knowledge extraction
KW - Satellite images
KW - Spatial feature identification
KW - Text mining
KW - Knowledge extraction
KW - Satellite images
KW - Spatial feature identification
KW - Text mining
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84919651307&origin=inward
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84919651307&origin=inward
M3 - Conference article
SN - 1613-0073
VL - 1318
SP - 49
EP - 52
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 8 September 2014 through 10 September 2014
ER -