TY - CONF T1 - Determining the spatial reader scopes of news sources using local lexicons T2 - Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems Y1 - 2010 A1 - Quercini,Gianluca A1 - Samet, Hanan A1 - Sankaranarayanan,Jagan A1 - Lieberman,Michael D. KW - geotagging KW - local lexicon KW - news search engine KW - spatial reader scope KW - spatial relatedness AB - Information sources on the Internet (e.g., Web versions of newspapers) usually have an implicit spatial reader scope, which is the geographical location for which the content has been primarily produced. Knowledge of the spatial reader scope facilitates the construction of a news search engine that provides readers a set of news sources relevant to the location in which they are interested. In particular, it plays an important role in disambiguating toponyms (e.g., textual specifications of geographical locations) in news articles, as the process of selecting an interpretation for the toponym often reduces to one of selecting an interpretation that seems natural in the context of the spatial reader scope. The key to determining the spatial reader scope of news sources is the notion of local lexicon, which for a location s is a set of concepts such as, but not limited to, names of people, landmarks, and historical events, that are spatially related to s. Techniques to automatically generate the local lexicon of a location by using the link structure of Wikipedia are described and evaluated. A key contribution is the improvement of existing methods used in the semantic relatedness domain to extract concepts spatially related to a given location from the Wikipedia. Results of experiments are presented that indicate that the knowledge of the spatial reader scope significantly improves the disambiguation of textually specified locations in news articles and that using local lexicons is an effective method to determine the spatial reader scopes of news sources. JA - Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems T3 - GIS '10 PB - ACM CY - New York, NY, USA SN - 978-1-4503-0428-3 UR - http://doi.acm.org/10.1145/1869790.1869800 M3 - 10.1145/1869790.1869800 ER -