Introduction to operations research, 4th ed.
Introduction to operations research, 4th ed.
The merge/purge problem for large databases
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Proceedings of the third annual conference on Autonomous Agents
Efficient clustering of high-dimensional data sets with application to reference matching
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Interactive deduplication using active learning
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning domain-independent string transformation weights for high accuracy object identification
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to match and cluster large high-dimensional data sets for data integration
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Adaptive duplicate detection using learnable string similarity measures
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Two supervised learning approaches for name disambiguation in author citations
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Iterative record linkage for cleaning and integration
Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Disambiguating Web appearances of people in a social network
WWW '05 Proceedings of the 14th international conference on World Wide Web
Comparative study of name disambiguation problem using a scalable blocking-based framework
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Reference reconciliation in complex information spaces
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Data cleaning in microsoft SQL server 2005
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Exploiting relationships for object consolidation
Proceedings of the 2nd international workshop on Information quality in information systems
Relational clustering for multi-type entity resolution
MRDM '05 Proceedings of the 4th international workshop on Multi-relational mining
Joint deduplication of multiple record types in relational data
Proceedings of the 14th ACM international conference on Information and knowledge management
Email alias detection using social network analysis
Proceedings of the 3rd international workshop on Link discovery
Domain-independent data cleaning via analysis of entity-relationship graph
ACM Transactions on Database Systems (TODS)
Learning metadata from the evidence in an on-line citation matching scheme
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Contextual search and name disambiguation in email using graphs
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Improving Grouped-Entity Resolution Using Quasi-Cliques
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Eliminating fuzzy duplicates in data warehouses
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Identification and tracing of ambiguous names: discriminative and generative approaches
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Self-tuning in graph-based reference disambiguation
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Towards breaking the quality curse.: a web-querying approach to web people search.
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
De-duping URLs via rewrite rules
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A Graph Partitioning Approach to Entity Disambiguation Using Uncertain Information
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
Refining Instance Coreferencing Results Using Belief Propagation
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Reconciliando dados de cunho acadêmico
SBBD '08 Proceedings of the 23rd Brazilian symposium on Databases
Exploiting context analysis for combining multiple entity resolution systems
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Entity Resolution in Texts Using Statistical Learning and Ontologies
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
Efficient and scalable multi-geography route planning
Proceedings of the 13th International Conference on Extending Database Technology
On Graph-Based Name Disambiguation
Journal of Data and Information Quality (JDIQ)
Author name disambiguation for citations on the deep web
WAIM'10 Proceedings of the 2010 international conference on Web-age information management
Attribute and object selection queries on objects with probabilistic attributes
ACM Transactions on Database Systems (TODS)
Exploiting Web querying for Web people search
ACM Transactions on Database Systems (TODS)
Quality-aware similarity assessment for entity matching in Web data
Information Systems
Citation-based bootstrapping for large-scale author disambiguation
Journal of the American Society for Information Science and Technology
Adaptive Connection Strength Models for Relationship-Based Entity Resolution
Journal of Data and Information Quality (JDIQ) - Special Issue on Entity Resolution
A unified framework for context assisted face clustering
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Query-driven approach to entity resolution
Proceedings of the VLDB Endowment
Name disambiguation in scientific cooperation network by exploiting user feedback
Artificial Intelligence Review
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Entity resolution is a very common Information Quality (IQ) problem with many different applications. In digital libraries, it is related to problems of citation matching and author name disambiguation; in Natural Language Processing, it is related to coreference matching and object identity; in Web application, it is related to Web page disambiguation. The problem of Entity Resolution arises because objects/entities in real world datasets are often referred to by descriptions, which might not be unique identifiers of these entities, leading to ambiguity. The goal is to group all the entity descriptions that refer to the same real world entities. In this paper we present a graphical approach for entity resolution. It complements the traditional methodology with the analysis of the entity-relationship graph constructed for the dataset being analyzed. The paper demonstrates that a technique that measures the degree of interconnectedness between various pairs of nodes in the graph can significantly improve the quality of entity resolution. Furthermore, the paper presents an algorithm for making that technique self-adaptive to the underlying data, thus minimizing the required participation from the domain-analyst and potentially further improving the disambiguation quality.