Conflation: automated map compilation
Conflation: automated map compilation
Query caching and optimization in distributed mediator systems
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Infomaster: an information integration system
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Modeling Web sources for information integration
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Navigational plans for data integration
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Logic-based techniques in data integration
Logic-based artificial intelligence
Query planning and optimization in information integration
Query planning and optimization in information integration
Automatically and accurately conflating orthoimagery and street maps
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Query-answering algorithms for information agents
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Exploiting automatically inferred constraint-models for building identification in satellite imagery
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Robust location search from text queries
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Retrieving address-based locations from the web
Proceedings of the 2nd international workshop on Geographic information retrieval
Extracting geographic features from the Internet to automatically build detailed regional gazetteers
International Journal of Geographical Information Science
A constraint satisfaction approach to geospatial reasoning
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Finding the farm: postal address-based building clustering
Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications
Assessment of the accuracy of GeoNames gazetteer data
Proceedings of the 7th Workshop on Geographic Information Retrieval
Hi-index | 0.00 |
Many Geographic Information System (GIS) applications require the conversion of an address to geographic coordinates. This process is called geocoding. The traditional geocoding method uses a street vector data source, such as, Tigerlines, to obtain address range and coordinates of the street segment on which the given address is located. Next, an approximation technique is used to estimate the location of the given address using the address range of the selected street segment. However, this provides inaccurate results since the approximation assumes that properties exist at all possible addresses and all properties are of equal size. To address the inaccuracy of the traditional geocoding approach, we propose two new methods for geocoding using additional online data sources. The first method, the uniform-lot-size method, uses the number of addresses/lots present on the street segment to approximate the location of an address. The second method, the actual-lot-size method, takes into consideration the lot sizes on the street segment and the orientation of the lots as well. Moreover, we describe an implementation of these methods using an information mediator to obtain information about actual number of lots and sizes of the lots on the streets from various property tax web sites. We geocoded an area covering 13 blocks (267 addresses) using all three methods. Our evaluation shows that the traditional method results in an average error of 36.85 meters, while the uniform-lot-size and the actual-lot-size methods result in the average error of 7.87 meters and 1.63 meters, respectively.