Georeferencing: The Geographic Associations of Information (Digital Libraries and Electronic Publishing)
An agenda for the next generation gazetteer: geographic information contribution and retrieval
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
A theoretical grounding for semantic descriptions of place
W2GIS'07 Proceedings of the 7th international conference on Web and wireless geographical information systems
Towards a pattern science for the Semantic Web
Semantic Web
Learning and recognizing the places we go
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
| Hi-index | 0.00 |
Place narratives provide a rich resource of learning how humans localize places. Place localization can be done in various ways, relative to other spatial referents, and relative to agents and their activities in which these referents may be involved. How can we describe places based on their spatial and semantic relationships to objects, qualities, and activities? How can these relations help us improve automated localization of places implicit in textual descriptions? In this paper, we motivate research on extraction of semantic place localization statements from text corpora which can be used for improving document retrieval and for reconstructing locations. The idea is to combine Semantic Web reasoning with existing geographic information retrieval (GIR) and structural text extraction for this purpose. GIR and Semantic Web technology have matured during the last years, but still largely exist in parallel. Current localization approaches have been focusing on the extraction of unstructured word lists from texts, including toponyms and geographic features, not on human place descriptions on a sentence level.