Matching large ontologies: A divide-and-conquer approach
Data & Knowledge Engineering
Collecting Community-Based Mappings in an Ontology Repository
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Ten Challenges for Ontology Matching
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
Amplifying community content creation with mixed initiative information extraction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving XML schema matching performance using Prüfer sequences
Data & Knowledge Engineering
New Challenges in Information Integration
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
HAMSTER: using search clicklogs for schema and taxonomy matching
Proceedings of the VLDB Endowment
Crowdsourcing systems on the World-Wide Web
Communications of the ACM
Search Computing
CrowdScreen: algorithms for filtering data with humans
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Making sense of top-k matchings: a unified match graph for schema matching
Proceedings of the Ninth International Workshop on Information Integration on the Web
CrowdER: crowdsourcing entity resolution
Proceedings of the VLDB Endowment
Combining human and computation intelligence: the case of data interlinking tools
International Journal of Metadata, Semantics and Ontologies
Deco: declarative crowdsourcing
Proceedings of the 21st ACM international conference on Information and knowledge management
Identifying and weighting integration hypotheses on open data platforms
Proceedings of the First International Workshop on Open Data
CrowdMap: crowdsourcing ontology alignment with microtasks
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
COnto-Diff: generation of complex evolution mappings for life science ontologies
Journal of Biomedical Informatics
Proceedings of the 5th Annual ACM Web Science Conference
Combining human and computation intelligence: the case of data interlinking tools
International Journal of Metadata, Semantics and Ontologies
Toward a business model reference for interoperability services
Computers in Industry
Reducing uncertainty of schema matching via crowdsourcing
Proceedings of the VLDB Endowment
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When integrating data from multiple sources, a key task that online communities often face is to match the schemas of the data sources. Today, such matching often incurs a huge workload that overwhelms the relatively small set of volunteer integrators. In such cases, community members may not even volunteer to be integrators, due to the high workload, and consequently no integration systems can be built. To address this problem, we propose to enlist the multitude of users in the community to help match the schemas, in a Web 2.0 fashion. We discuss the challenges of this approach and provide initial solutions. Finally, we describe an extensive set of experiments on both real-world and synthetic data that demonstrate the utility of the approach.