Name
Abstract | ||
|---|---|---|
Geo-temporal information is pervasive over textual documents, since most of them contain references to particular locations, calendar dates, clock times or duration periods. An important text analytics problem is therefore related to resolving the place names and the temporal expressions referenced in the texts, i.e. linking the character strings in the documents that correspond to either locations or temporal instances, to the specific geospatial coordinates or the time intervals that they refer to. However, geo-temporal reference resolution presents several non-trivial problems to the area of text mining, due to the inherent ambiguity and contextual assumptions of natural language discourse. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2093973.2094020 | GIS |
Keywords | Field | DocType |
clock time,character string,calendar date,temporal instance,temporal reference,duration period,temporal expression,text mining,geo-temporal information,important text analytics problem,contextual assumption,natural language | Toponymy,Data mining,Temporal annotation,Computer science,Natural language processing,Artificial intelligence,Ambiguity,Text processing,Geospatial analysis,Text mining,Information retrieval,Temporal expressions,Natural language | Conference |
Citations | PageRank | References |
3 | 0.42 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vitor Loureiro | 1 | 3 | 0.42 |
| Ivo Anastácio | 2 | 40 | 3.42 |
| Bruno Martins | 3 | 441 | 34.58 |