User Tools
public:research
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision | Next revision Both sides next revision | ||
|
public:research [2016/09/08 02:05] clodoveu |
public:research [2016/09/08 02:23] clodoveu |
||
|---|---|---|---|
| Line 29: | Line 29: | ||
| A large share of the information available on the Web is geographically specific. References to geographic locations appear in the form of place names, postal addresses, postcodes, historical dates, demonyms, ethnicity, typical food and others. Many queries include place names and other geographic terms. Therefore, there is demand for mechanisms to search for documents both thematically (for instance, using a set of keywords) and geographically, based on places mentioned or referenced by the text. Similar techniques and resources can also apply to streaming data, such as Twitter messages or RSS feeds, providing the opportunity to index content in near-real-time, based on references to places. | A large share of the information available on the Web is geographically specific. References to geographic locations appear in the form of place names, postal addresses, postcodes, historical dates, demonyms, ethnicity, typical food and others. Many queries include place names and other geographic terms. Therefore, there is demand for mechanisms to search for documents both thematically (for instance, using a set of keywords) and geographically, based on places mentioned or referenced by the text. Similar techniques and resources can also apply to streaming data, such as Twitter messages or RSS feeds, providing the opportunity to index content in near-real-time, based on references to places. | ||
| - | However, while finding references to places in Web documents, ambiguity and uncertainty occur. Places can share a name with other places (Paris, besides being the capital of France, refers to more than sixty places around the world. Places are named using common language words (Park, Hope and Independence are American cities) and proper names (Washington, Houston and San Francisco). The first type of ambiguity occurs when a place name references multiple places, and it is called *Geo/Geo ambiguity*. The latter ambiguity is called *Geo/Non-Geo ambiguity*, which occurs when both a location and a non-location share the same name. There is a third type of ambiguity, named *reference ambiguity*, which occurs when a place is associated to many names, like New York, NYC or The Big Apple. Ambiguity makes the resolution of references to places intrinsically context-based. Although there are important work on place-based information integration and retrieval, areas such as disambiguation are still in its infancy. | + | However, while finding references to places in Web documents, ambiguity and uncertainty occur. Places can share a name with other places (Paris, besides being the capital of France, refers to more than sixty places around the world. Places are named using common language words (Park, Hope and Independence are American cities) and proper names (Washington, Houston and San Francisco). Also, a place can be associated to many names, like New York, NYC or The Big Apple, and to names in various languages. Ambiguity makes the resolution of references to places intrinsically context-based. Although there are important work on place-based information integration and retrieval, areas such as disambiguation are still in their infancy. |
| - | References to places can be straightforward and unambiguous as geographic coordinates or not. Other sources of geographic location information can be structured (postal addresses) or unstructured (place descriptions in text). They can also be direct (place names) or indirect (references to cultural characteristics associated to places), explicit (news headers) or implicit ("9/11"). Humans are often able to recognize references to places based on such evidence, but this association does not come so easily to automated systems. Addressing this problem is one of the pressing tasks for Geographic Information Retrieval (GIR) research. | + | References to places can be straightforward and unambiguous as geographic coordinates or not. Other sources of geographic location information can be structured (postal addresses) or unstructured (place descriptions in text). They can also be direct (place names) or indirect (references to cultural characteristics associated to places), explicit (news headers) or implicit ("9/11"). Humans are often able to recognize references to places based on such evidence, but this association does not come so easily to automated systems. Addressing this problem is one of the tasks for Geographic Information Retrieval (GIR) research. |
| GIR extends Information Retrieval with geographic locations and metadata, taking it beyond the use of keywords. | GIR extends Information Retrieval with geographic locations and metadata, taking it beyond the use of keywords. | ||
public/research.txt ยท Last modified: 2016/09/08 23:09 by clodoveu
Page Tools
