Adaptive genetic programming based linkage rule miner for entity linking in Semantic Web

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@InProceedings{Singh:2017:ICCCA,

• author = "Amit Singh and Aditi Sharan",
• booktitle = "2017 International Conference on Computing, Communication and Automation (ICCCA)",
• title = "Adaptive genetic programming based linkage rule miner for entity linking in Semantic Web",
• year = "2017",
• pages = "373--378",
• abstract = "In Recent years we have witnessed a rapid growth in Semantic Web Data Sources. These Data Sources follow Linked Data principles to facilitate efficient information retrieval and knowledge sharing. These data sources may provide complementary, overlapping or contradicting information. In order to integrate these data sources, we perform Entity Linking. Entity Linking is an important task of identifying and linking entities across data sources that refer to the same real world entities. In this work we have proposed Adaptive Genetic Programming based domain independent, scalable approach to learn linkage rules for Entity Linking.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/CCAA.2017.8229829",
• month = may,
• notes = "Also known as \cite{8229829}",

}

Genetic Programming entries for Amit Singh Aditi Sharan

Citations