Extraction and integration of business objects on the web
Due to the popularity of local search services, such as Google Maps, Yahoo! Locals, and online Yellow pages, and the emergence of the mobile Internet, location-based spatial query has become considerably important. For example, in Google Maps, many (geo-referenced) points of interest objects, e.g.,...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2012
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| Online Access: | http://hdl.handle.net/10356/49115 |
| _version_ | 1824455763923304448 |
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| author | Wu, Ziang. |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Wu, Ziang. |
| author_sort | Wu, Ziang. |
| collection | NTU |
| description | Due to the popularity of local search services, such as Google Maps, Yahoo! Locals, and online Yellow pages, and the emergence of the mobile Internet, location-based spatial query has become considerably important. For example, in Google Maps, many (geo-referenced) points of interest objects, e.g., stores, tourist attractions, hotels, entertainment services, public transport, and public services are being associated with descriptive text documents.
The objective of this Project is to extract business objects from the local search service, such as Google map and Street Directory, and integrate the business objects from different sources. When integrating the data from different sources, the corresponding objects that represent the same real world entity are needed to be identified. This problem is known as Entity Resolution. An approach which considers both spatial and non-spatial information is proposed and the experiment results show that the performance is better that those methods based on spatial or name information alone. |
| first_indexed | 2025-02-19T03:43:23Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/49115 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:43:23Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | ntu-10356/491152023-03-03T20:39:13Z Extraction and integration of business objects on the web Wu, Ziang. School of Computer Engineering Centre for Advanced Information Systems Cong Gao DRNTU::Engineering::Computer science and engineering::Information systems::Database management Due to the popularity of local search services, such as Google Maps, Yahoo! Locals, and online Yellow pages, and the emergence of the mobile Internet, location-based spatial query has become considerably important. For example, in Google Maps, many (geo-referenced) points of interest objects, e.g., stores, tourist attractions, hotels, entertainment services, public transport, and public services are being associated with descriptive text documents. The objective of this Project is to extract business objects from the local search service, such as Google map and Street Directory, and integrate the business objects from different sources. When integrating the data from different sources, the corresponding objects that represent the same real world entity are needed to be identified. This problem is known as Entity Resolution. An approach which considers both spatial and non-spatial information is proposed and the experiment results show that the performance is better that those methods based on spatial or name information alone. Bachelor of Engineering (Computer Engineering) 2012-05-15T02:26:09Z 2012-05-15T02:26:09Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49115 en Nanyang Technological University 48 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems::Database management Wu, Ziang. Extraction and integration of business objects on the web |
| title | Extraction and integration of business objects on the web |
| title_full | Extraction and integration of business objects on the web |
| title_fullStr | Extraction and integration of business objects on the web |
| title_full_unstemmed | Extraction and integration of business objects on the web |
| title_short | Extraction and integration of business objects on the web |
| title_sort | extraction and integration of business objects on the web |
| topic | DRNTU::Engineering::Computer science and engineering::Information systems::Database management |
| url | http://hdl.handle.net/10356/49115 |
| work_keys_str_mv | AT wuziang extractionandintegrationofbusinessobjectsontheweb |