Assieme: finding and leveraging implicit references in a web search interface for programmers
Proceedings of the 20th annual ACM symposium on User interface software and technology
Query evaluation with soft-key constraints
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
An unsupervised framework for extracting and normalizing product attributes from multiple web sites
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Unsupervised deduplication using cross-field dependencies
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A unified approach for schema matching, coreference and canonicalization
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient Weight Learning for Markov Logic Networks
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Discriminative Structure Learning of Markov Logic Networks
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Feature Discovery with Type Extension Trees
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
A Graph Partitioning Approach to Entity Disambiguation Using Uncertain Information
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
Reinforcement Learning with Markov Logic Networks
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Generalized Joint Inference Approach for Citation Matching
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Just Add Weights: Markov Logic for the Semantic Web
Uncertainty Reasoning for the Semantic Web I
Foundations and Trends in Databases
Incorporating site-level knowledge to extract structured data from web forums
Proceedings of the 18th international conference on World wide web
Learning Markov logic network structure via hypergraph lifting
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Exploiting context analysis for combining multiple entity resolution systems
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Structure Learning of Markov Logic Networks through Iterated Local Search
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Learning to Disambiguate Search Queries from Short Sessions
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Joint inference in information extraction
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
An unsupervised approach for product record normalization across different web sites
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Unsupervised methods for determining object and relation synonyms on the web
Journal of Artificial Intelligence Research
Frameworks for entity matching: A comparison
Data & Knowledge Engineering
Answering table augmentation queries from unstructured lists on the web
Proceedings of the VLDB Endowment
Entity Resolution in Texts Using Statistical Learning and Ontologies
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
Scaling record linkage to non-uniform distributed class sizes
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Probabilistic inductive logic programming
From information to knowledge: harvesting entities and relationships from web sources
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Multiple relationship based deduplication
Proceedings of the Fourth SIGMOD PhD Workshop on Innovative Database Research
BioSnowball: automated population of Wikis
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting duplicate biological entities using Shortest Path Edit Distance
International Journal of Data Mining and Bioinformatics
ProbLog Technology for Inference in a Probabilistic First Order Logic
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Learning complex action models with quantifiers and logical implications
Artificial Intelligence
Normalizing web product attributes and discovering domain ontology with minimal effort
Proceedings of the fourth ACM international conference on Web search and data mining
Large-scale collective entity matching
Proceedings of the VLDB Endowment
Boosting learning and inference in Markov logic through metaheuristics
Applied Intelligence
Tuffy: scaling up statistical inference in Markov logic networks using an RDBMS
Proceedings of the VLDB Endowment
Which noun phrases denote which concepts?
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Information Systems Frontiers
Collective graph identification
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Improving the accuracy of similarity measures by using link information
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Towards a top-down and bottom-up bidirectional approach to joint information extraction
Proceedings of the 20th ACM international conference on Information and knowledge management
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
Data Mining and Knowledge Discovery
Probabilistic databases with MarkoViews
Proceedings of the VLDB Endowment
Entity resolution: theory, practice & open challenges
Proceedings of the VLDB Endowment
The dichotomy of probabilistic inference for unions of conjunctive queries
Journal of the ACM (JACM)
LINDA: distributed web-of-data-scale entity matching
Proceedings of the 21st ACM international conference on Information and knowledge management
Proceedings of the sixth ACM international conference on Web search and data mining
Transforming graph data for statistical relational learning
Journal of Artificial Intelligence Research
Knowledge harvesting in the big-data era
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Optimal hashing schemes for entity matching
Proceedings of the 22nd international conference on World Wide Web
Contextual word spotting in historical manuscripts using Markov logic networks
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
Programming with personalized pagerank: a locally groundable first-order probabilistic logic
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Combining relational learning with SMT solvers using CEGAR
CAV'13 Proceedings of the 25th international conference on Computer Aided Verification
Type Extension Trees for feature construction and learning in relational domains
Artificial Intelligence
Joint entity resolution on multiple datasets
The VLDB Journal — The International Journal on Very Large Data Bases
Expectation maximization over binary decision diagrams for probabilistic logic programs
Intelligent Data Analysis
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Entity resolution is the problem of determining which records in a database refer to the same entities, and is a crucial and expensive step in the data mining process. Interest in it has grown rapidly in recent years, and many approaches have been proposed. However, they tend to address only isolated aspects of the problem, and are often ad hoc. This paper proposes a well-founded, integrated solution to the entity resolution problem based on Markov logic. Markov logic combines first-order logic and probabilistic graphical models by attaching weights to first-order formulas, and viewing them as templates for features of Markov networks. We show how a number of previous approaches can be formulated and seamlessly combined in Markov logic, and how the resulting learning and inference problems can be solved efficiently. Experiments on two citation databases show the utility of this approach, and evaluate the contribution of the different components.