Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem
Data Mining and Knowledge Discovery
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: The Semantic Web: an evolution for a revolution
Iterative record linkage for cleaning and integration
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Reference reconciliation in complex information spaces
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Proceedings of the 15th international conference on World Wide Web
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ACM Transactions on Database Systems (TODS)
EOS: expertise oriented search using social networks
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CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
Rationality of cross-system data duplication: a case study
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
From web data to entities and back
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
On-the-fly entity-aware query processing in the presence of linkage
Proceedings of the VLDB Endowment
Efficient entity resolution for large heterogeneous information spaces
Proceedings of the fourth ACM international conference on Web search and data mining
LinkDB: a probabilistic linkage database system
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Efficient semantic-aware detection of near duplicate resources
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Map to humans and reduce error: crowdsourcing for deduplication applied to digital libraries
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Data Linking for the Semantic Web
International Journal on Semantic Web & Information Systems
Guided curation of semistructured data in collaboratively-built knowledge bases
Future Generation Computer Systems
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Heterogeneous information spaces are typically created by merging data from a variety of different applications and information sources. These sources often use different identifiers for data that describe the same real-word entity (for example an artist, a conference, an organization). In this paper we propose a new probabilistic Entity Linkagealgorithm for identifying and linking data that refer to the same real-world entity.Our approach focuses on managing entity linkage information in heterogeneous information spaces using probabilistic methods. We use a Bayesian network to model evidences which support the possible object matches along with the interdependencies between them. This enables us to flexibly update the network when new information becomes available, and to cope with the different requirements imposed by applications build on top of information spaces.