Name
Abstract | ||
|---|---|---|
Local cultural heritage document repositories are characterized by contents strongly attached to a territory (i.e. geographical references). The user must be able to consider such repositories according to a focus, which takes into account his/her geographical interests, and which allows one to access the relevant document's contents from a geographical point of view. This paper presents the Virtual Itineraries in the Pyrenees (PIV) project. Spatial and temporal core models are proposed to give a formal representation of geographical information. The models take into account the characteristics of heterogeneous human modes of expression: written language and captures of drawings, maps, pictures, etc. Semantic processes have been built to automatically manage the spatial and temporal information from non-structured data. A ''back office'' prototype, which adds these processes to classic information extraction (IE) approaches, while associating a geographical information retrieval (GIR) service is proposed. This service searches for any links between formal representations of geographic information in document collections, and similar representations in a user's information query. Finally, the paper presents the design work, giving the details of the principles of result visualization and navigation, while proposing a ''front office'' first implementation of the system. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.jvlc.2007.08.010 | J. Vis. Lang. Comput. |
Keywords | Field | DocType |
semantic processing,cartographic information visualization,heterogeneous expression modes,non-structured data,geographical interest,geographic information,temporal information,content-based information access,formal representation,geographical information retrieval,information query,geographical information,geographical point,core geographic feature model,geographical reference,global process,classic information extraction,information extraction,information visualization,cultural heritage | Semantic memory,Data mining,World Wide Web,Back office,Information retrieval,Cultural heritage,Visualization,Computer science,Formal representation,Written language,Front office,Information extraction | Journal |
Volume | Issue | ISSN |
19 | 1 | 1045-926X |
Citations | PageRank | References |
16 | 0.85 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mauro Gaio | 1 | 71 | 12.71 |
| Christian Sallaberry | 2 | 75 | 19.65 |
| Patrick Etcheverry | 3 | 24 | 6.85 |
| Christophe Marquesuzaa | 4 | 31 | 3.30 |
| Julien Lesbegueries | 5 | 73 | 7.89 |