Entity Resolution with Weighted Constraints
Description
Constraints ubiquitously exist in many real-life applications for entity resolution (ER). However, it is always challenging to effectively specify and efficiently use constraints when performing ER tasks. In particular, not every constraint is equally effective or robust, and using weights to express the “confidences” on constraints becomes a natural choice. In this paper, we study entity resolution (ER) (i.e., the problem of determining which records in a database refer to the same entities)...[Show more]
dc.contributor.author | Shen, Zeyu | |
---|---|---|
dc.contributor.author | Wang, Qing (Ms) | |
dc.date.accessioned | 2015-12-10T23:24:49Z | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/1885/67363 | |
dc.description.abstract | Constraints ubiquitously exist in many real-life applications for entity resolution (ER). However, it is always challenging to effectively specify and efficiently use constraints when performing ER tasks. In particular, not every constraint is equally effective or robust, and using weights to express the “confidences” on constraints becomes a natural choice. In this paper, we study entity resolution (ER) (i.e., the problem of determining which records in a database refer to the same entities) in the presence of weighted constraints. We propose a unified framework that can interweave positive and negative constraints into the ER process, and investigate how effectively and efficiently weighted constraints can be used for generating ER clustering results. Our experimental study shows that using weighted constraints can lead to improved ER quality and scalability. | |
dc.publisher | Springer | |
dc.source | Lecture Notes in Computer Science (LNCS) | |
dc.title | Entity Resolution with Weighted Constraints | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 8716 | |
dc.date.issued | 2014 | |
local.identifier.absfor | 080604 - Database Management | |
local.identifier.ariespublication | u4334215xPUB1443 | |
local.type.status | Published Version | |
local.contributor.affiliation | Shen, Zeyu, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Wang, Qing (Ms), College of Engineering and Computer Science, ANU | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.issue | 2014 | |
local.bibliographicCitation.startpage | 308 | |
local.bibliographicCitation.lastpage | 322 | |
local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
dc.date.updated | 2015-12-10T10:50:16Z | |
local.identifier.scopusID | 2-s2.0-84921656286 | |
Collections | ANU Research Publications |
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