Benchmarking declarative approximate selection predicates
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Proceedings of the VLDB Endowment
A framework for semantic link discovery over relational data
Proceedings of the 18th ACM conference on Information and knowledge management
Framework for evaluating clustering algorithms in duplicate detection
Proceedings of the VLDB Endowment
RUBIX: a framework for improving data integration with linked data
Proceedings of the First International Workshop on Open Data
Instance-Based matching of large ontologies using locality-sensitive hashing
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Next generation data analytics at IBM research
Proceedings of the VLDB Endowment
Discovering linkage points over web data
Proceedings of the VLDB Endowment
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The size, heterogeneity and dynamicity of data within an enterprise makes indexing, integration and analysis of the data increasingly difficult tasks. On the other hand, there has been a massive increase in the amount of high-quality open data available on the Web that could provide invaluable insights to data analysts and business intelligence specialists within the enterprise. The goal of Helix project is to provide users within the enterprise with a platform that allows them to perform online analysis of almost any type and amount of internal data using the power of external knowledge bases available on the Web. Such a platform requires a novel, data-format agnostic indexing mechanism, and light-weight data linking techniques that could link semantically related records across internal and external data sources of various characteristics. We present the initial architecture of our system and discuss several research challenges involved in building such a system.