Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/49115
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dc.contributor.authorWu, Ziang.
dc.date.accessioned2012-05-15T02:26:09Z
dc.date.available2012-05-15T02:26:09Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/10356/49115
dc.description.abstractDue 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.en_US
dc.format.extent48 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Database managementen_US
dc.titleExtraction and integration of business objects on the weben_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Engineering)en_US
dc.contributor.researchCentre for Advanced Information Systemsen_US
dc.contributor.supervisor2Cong Gaoen_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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