A GIR architecture with semantic-flavored query reformulation
Proceedings of the 6th Workshop on Geographic Information Retrieval
Geographical classification of documents using evidence from Wikipedia
Proceedings of the 6th Workshop on Geographic Information Retrieval
Challenges for indexing in GIR
SIGSPATIAL Special
Traffic observatory: a system to detect and locate traffic events and conditions using Twitter
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Hi-index | 0.00 |
Most geographic information retrieval systems depend on the detection and disambiguation of place names in documents, assuming that the documents with a specific geographic scope contain explicit place names in the text that are strongly related to the document scopes. However, some non-geographic names such as companies, monuments or sport events, may also provide indirect relevant evidence that can significantly contribute to the assignment of geographic scopes to documents. In this paper, we analyze the amount of implicit and explicit geographic evidence in newspaper documents, and measure its impact on geographic information retrieval by evaluating the performance of a retrieval system using the GeoCLEF evaluation data.