TY - GEN
T1 - GeoSR
T2 - 11th AGILE International Conference on Geographic Information Science, AGILE 2008
AU - Hecht, Brent
AU - Raubal, Martin
PY - 2008
Y1 - 2008
N2 - Methods to determine the semantic relatedness (SR) value between two lexically expressed entities abound in the field of natural language processing (NLP). The goal of such efforts is to identify a single measure that summarizes the number and strength of the relationships between the two entities. In this paper, we present GeoSR, the first adaptation of SR methods to the context of geographic data exploration. By combining the first use of a knowledge repository structure that is replete with non-classical relations, a new means of explaining those relations to users, and the novel application of SR measures to a geographic reference system, GeoSR allows users to geographically navigate and investigate the world knowledge encoded in Wikipedia. There are numerous visualization and interaction paradigms possible with GeoSR; we present one implementation as a proof-of-concept and discuss others. Although, Wikipedia is used as the knowledge repository for our implementation, GeoSR will also work with any knowledge repository having a similar set of properties.
AB - Methods to determine the semantic relatedness (SR) value between two lexically expressed entities abound in the field of natural language processing (NLP). The goal of such efforts is to identify a single measure that summarizes the number and strength of the relationships between the two entities. In this paper, we present GeoSR, the first adaptation of SR methods to the context of geographic data exploration. By combining the first use of a knowledge repository structure that is replete with non-classical relations, a new means of explaining those relations to users, and the novel application of SR measures to a geographic reference system, GeoSR allows users to geographically navigate and investigate the world knowledge encoded in Wikipedia. There are numerous visualization and interaction paradigms possible with GeoSR; we present one implementation as a proof-of-concept and discuss others. Although, Wikipedia is used as the knowledge repository for our implementation, GeoSR will also work with any knowledge repository having a similar set of properties.
KW - GeoSR
KW - Geographic reference system
KW - Natural language processing
KW - Semantic relatedness
KW - Wikipedia
UR - http://www.scopus.com/inward/record.url?scp=84883082675&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883082675&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-78946-8_6
DO - 10.1007/978-3-540-78946-8_6
M3 - Conference contribution
AN - SCOPUS:84883082675
SN - 9783540789451
T3 - Lecture Notes in Geoinformation and Cartography
SP - 95
EP - 113
BT - The European Information Society
PB - Kluwer Academic Publishers
Y2 - 5 May 2008 through 8 May 2008
ER -