Name
Abstract | ||
|---|---|---|
With the aim to improve the quality of gazetteers for geographic information retrieval systems, we present a method to detect place names employed by people submitting information to Web resources. We investigate how often people refer to a place using locative phrases in web queries and address the problem of defining cognitively significant place names. We propose Web mining as a means to decide whether a given particular named entity is in fact a place. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1460007.1460017 | GIR |
Keywords | Field | DocType |
geographic information retrieval system,cognitively significant place name,web resource,web query,place name,locative phrase,web mining | Toponymy,Web resource,Data mining,World Wide Web,Web mining,Information retrieval,Computer science,Geographic information retrieval,Named entity,Locative case | Conference |
Citations | PageRank | References |
5 | 0.47 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florian A. Twaroch | 1 | 63 | 4.89 |
| Philip D. Smart | 2 | 92 | 5.98 |
| Christopher B. Jones | 3 | 1067 | 95.29 |