Handling implicit geographic evidence for geographic IR
|Handling implicit geographic evidence for geographic IR|
|Author(s)||Cardoso N., Silva M.J., Santos D.|
|Published in||International Conference on Information and Knowledge Management, Proceedings|
|Keyword(s)||Geographic information retrieval, Named entity recognition, Wikipedia mining (Extra: Geographic information retrieval, Named entity recognition, Retrieval systems, Sport events, Wikipedia mining, Information retrieval systems, Information services, Knowledge management, Natural language processing systems, Information retrieval)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
Handling implicit geographic evidence for geographic IR is a 2008 conference paper written in English by Cardoso N., Silva M.J., Santos D. and published in International Conference on Information and Knowledge Management, Proceedings.
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.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers. Cited 2 time(s)