ANIMITEX project: Image analysis based on textual information

Hugo Alatrista-Salas; Eric Kergosien; Mathieu Roche; Maguelonne Teisseire

ANIMITEX project: Image analysis based on textual information

Hugo Alatrista-Salas, Eric Kergosien, Mathieu Roche, Maguelonne Teisseire

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	49-52
Number of pages	4
Journal	CEUR Workshop Proceedings
Volume	1318
State	Published - 1 Jan 2014
Externally published	Yes
Event	1st Symposium on Information Management and Big Data, SIMBig 2014 - Cusco, Peru Duration: 8 Sep 2014 → 10 Sep 2014

Keywords

Knowledge extraction
Satellite images
Spatial feature identification
Text mining

Cite this

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title = "ANIMITEX project: Image analysis based on textual information",

abstract = "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.",

keywords = "Knowledge extraction, Satellite images, Spatial feature identification, Text mining, Knowledge extraction, Satellite images, Spatial feature identification, Text mining",

author = "Hugo Alatrista-Salas and Eric Kergosien and Mathieu Roche and Maguelonne Teisseire",

year = "2014",

month = jan,

day = "1",

language = "English",

volume = "1318",

pages = "49--52",

journal = "CEUR Workshop Proceedings",

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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

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M3 - Conference article

SN - 1613-0073

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SP - 49

EP - 52

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 8 September 2014 through 10 September 2014

ER -

ANIMITEX project: Image analysis based on textual information

Abstract

Keywords

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