untitled
<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd>
<responseDate>2018-01-15T18:40:56Z</responseDate>
<request identifier=oai:HAL:hal-00679555v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request>
<GetRecord>
<record>
<header>
<identifier>oai:HAL:hal-00679555v1</identifier>
<datestamp>2017-12-21</datestamp>
<setSpec>type:COMM</setSpec>
<setSpec>subject:info</setSpec>
<setSpec>collection:BNRMI</setSpec>
<setSpec>collection:UNIV-AG</setSpec>
</header>
<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>A Heuristic-based Approach for Merging Layers Information in a GIS</title>
<creator>Segretier, Wilfried</creator>
<creator>Collard, Martine</creator>
<creator>Grandchamp, Enguerran</creator>
<contributor>IDC ; Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG) - Université des Antilles et de la Guyane (UAG)</contributor>
<contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor>
<description>International audience</description>
<source>Proceedings of the 4th International Conference on Advanced Geographic Information Systems, Applications, and Services</source>
<source>GEOProcessing 2012</source>
<coverage>Valencia, Spain</coverage>
<identifier>hal-00679555</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00679555</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00679555</source>
<source>GEOProcessing 2012, Jan 2012, Valencia, Spain. pp.190-197, 2012</source>
<language>en</language>
<subject lang=en>Geographic Knowledge Discovery</subject>
<subject lang=en>Geographic Information Systems</subject>
<subject lang=en>Genetic algorithms</subject>
<subject lang=en>Geographic Knowledge Discovery.</subject>
<subject>[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>Geographic Information Systems (GIS) help addressing geographical and environmental issues by providing information about a region or a city as a set of maps (layers), each one displaying information about a given theme like roads, vegetation, tourist spots or museums for instance. By combining different layers on a region, one can associate a given area to characteristics from their related themes. Indeed, the information from two or more layers might be merged and then transformed into a new layer as defined in map "algebra". When a theme vocabulary is organized as a taxonomy with concepts linked by is-a relationships, there are different ways to annotate an area with a concept depending on the level selected into the layer taxonomy. In this paper, we present an heuristic- based approach for an optimal merging of such layers in a GIS. Our goal is to generate new layers which sum up information from several themes in a most useful way. Two optimization criteria are considered, the average size of resulting areas and the average informative value of their resulting annotation. We demonstrate the validity of the proposed solution, firstly, on a formal example, and then, on a real world application.</description>
<date>2012-01-30</date>
</dc>
</metadata>
</record>
</GetRecord>
</OAI-PMH>
