Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of SIGMOD 2011 and PODS 2011 |
| Pages | 1307-1309 |
| Number of pages | 3 |
| Publication status | Published - 12 Jun 2011 |
| Event | 2011 ACM SIGMOD and 30th PODS 2011 Conference - Athens, Greece Duration: 12 Jun 2011 → 16 Jun 2011 |
Publication series
| Name | Proceedings of the ACM SIGMOD International Conference on Management of Data |
|---|---|
| ISSN (Print) | 0730-8078 |
Abstract
Entity linkage deals with the problem of identifying whether two pieces of information represent the same real world object. The traditional methodology computes the similarity among the entities, and then merges those with similarity above some specific threshold. We demonstrate LinkDB, an original entity storage and querying system that deals with the entity linkage problem in a novel way. LinkDB is a probabilistic linkage database that uses existing linkage techniques to generate linkages among entities, but instead of performing the merges based on these linkages, it stores them alongside the data and performs only the required merges at run-time, by effectively taking into consideration the query specifications. We explain the technical challenges behind this kind of query answering, and we show how this new mechanism is able to provide answers that traditional entity linkage mechanisms cannot.
Keywords
- data integration, entity linkage, entity resolution
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Information Systems
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Proceedings of SIGMOD 2011 and PODS 2011. 2011. p. 1307-1309 (Proceedings of the ACM SIGMOD International Conference on Management of Data).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - LinkDB
T2 - 2011 ACM SIGMOD and 30th PODS 2011 Conference
AU - Ioannou, Ekaterini
AU - Nejdl, Wolfgang
AU - Niederée, Claudia
AU - Velegrakis, Yannis
PY - 2011/6/12
Y1 - 2011/6/12
N2 - Entity linkage deals with the problem of identifying whether two pieces of information represent the same real world object. The traditional methodology computes the similarity among the entities, and then merges those with similarity above some specific threshold. We demonstrate LinkDB, an original entity storage and querying system that deals with the entity linkage problem in a novel way. LinkDB is a probabilistic linkage database that uses existing linkage techniques to generate linkages among entities, but instead of performing the merges based on these linkages, it stores them alongside the data and performs only the required merges at run-time, by effectively taking into consideration the query specifications. We explain the technical challenges behind this kind of query answering, and we show how this new mechanism is able to provide answers that traditional entity linkage mechanisms cannot.
AB - Entity linkage deals with the problem of identifying whether two pieces of information represent the same real world object. The traditional methodology computes the similarity among the entities, and then merges those with similarity above some specific threshold. We demonstrate LinkDB, an original entity storage and querying system that deals with the entity linkage problem in a novel way. LinkDB is a probabilistic linkage database that uses existing linkage techniques to generate linkages among entities, but instead of performing the merges based on these linkages, it stores them alongside the data and performs only the required merges at run-time, by effectively taking into consideration the query specifications. We explain the technical challenges behind this kind of query answering, and we show how this new mechanism is able to provide answers that traditional entity linkage mechanisms cannot.
KW - data integration
KW - entity linkage
KW - entity resolution
UR - http://www.scopus.com/inward/record.url?scp=79959941051&partnerID=8YFLogxK
U2 - 10.1145/1989323.1989483
DO - 10.1145/1989323.1989483
M3 - Conference contribution
AN - SCOPUS:79959941051
SN - 9781450306614
T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data
SP - 1307
EP - 1309
BT - Proceedings of SIGMOD 2011 and PODS 2011
Y2 - 12 June 2011 through 16 June 2011
ER -