#schemamatching результаты поиска
Congratulations to @JanPortisch, who sucessfully defended his thesis on "Exploiting General-Purpose #BackgroundKnowledge for Automated #SchemaMatching" yesterday at @dwsunima in front of the jury: @CPesquita @hanvdaa and Christian Bizer!
The paper "PoWareMatch: a Quality-aware Deep Learning Approach to Improve Human Schema Matching", authored by @shraga_roee and @avigalgal, has been accepted to special issue on Deep Learning for #DataQuality (JDIQ), tackling the problem of #schemamatching with #deeplearning.
Can we improve on #SchemaMatching results using #DeepLearning? Yes, we can. Our paper ADnEV: Cross-Domain Schema Matching using Deep Similarity Matrix Adjustment and Evaluation coauthored with @avigalgal and Haggai Roitman was accepted to #VLDB2020. See tinyurl.com/r7lnhwv.
CopycHats is an #LLM-based agent that performs #schemamatching just like humans, allowing us to test revolving doors research questions that we cannot with humans. @SolomonMatan presented this work, co-authored with Bar Genossar and @avigalgal as part of #hilda2024 (#SIGMOD).
Tired of manual schema matching? Learn how to automatically align your data for analytics in minutes: bit.ly/3TzW5eu Start your free trial today! #DataOps #DataPreparation #SchemaMatching #NoCode #AI #BusinessIntelligence
⚡ Build live virtual datasets—ready to feed into Power BI, Tableau, Looker, Excel, and more—without extra pipelines: bit.ly/3TzW5eu #DataOps #DataPreparation #SchemaMatching #NoCode #AI #BusinessIntelligence
Our paper "#BackgroundKnowledge in #SchemaMatching: Strategy vs. Data" has been accepted at @iswc_conf #iswc2021 w/ @JanPortisch @MichaelHladik @dwsunima
Schema Matching for Semi-structured and Linked Data: ieeexplore.ieee.org/abstract/docum… #LinkedData #SemanticWeb #SchemaMatching
#DataFusion: extensional and intensional #completeness when integrating two data sources into one integrated result, using information from #SchemaMatching and #DuplicateDetection. Source: researchgate.net/publication/22…
Check out our paper on automatic data-governance for data lakes entitled Keeping the Data Lake in Form: Proximity Mining for Pre-Filtering Schema Matching and published in ACM Transactions on Information Systems dl.acm.org/doi/abs/10.114… #datalake #datagovernance #schemamatching
Tired of manual schema matching? Learn how to automatically align your data for analytics in minutes: bit.ly/3TzW5eu Start your free trial today! #DataOps #DataPreparation #SchemaMatching #NoCode #AI #BusinessIntelligence
⚡ Build live virtual datasets—ready to feed into Power BI, Tableau, Looker, Excel, and more—without extra pipelines: bit.ly/3TzW5eu #DataOps #DataPreparation #SchemaMatching #NoCode #AI #BusinessIntelligence
CopycHats is an #LLM-based agent that performs #schemamatching just like humans, allowing us to test revolving doors research questions that we cannot with humans. @SolomonMatan presented this work, co-authored with Bar Genossar and @avigalgal as part of #hilda2024 (#SIGMOD).
Congratulations to @JanPortisch, who sucessfully defended his thesis on "Exploiting General-Purpose #BackgroundKnowledge for Automated #SchemaMatching" yesterday at @dwsunima in front of the jury: @CPesquita @hanvdaa and Christian Bizer!
The paper "PoWareMatch: a Quality-aware Deep Learning Approach to Improve Human Schema Matching", authored by @shraga_roee and @avigalgal, has been accepted to special issue on Deep Learning for #DataQuality (JDIQ), tackling the problem of #schemamatching with #deeplearning.
Our paper "#BackgroundKnowledge in #SchemaMatching: Strategy vs. Data" has been accepted at @iswc_conf #iswc2021 w/ @JanPortisch @MichaelHladik @dwsunima
#DataFusion: extensional and intensional #completeness when integrating two data sources into one integrated result, using information from #SchemaMatching and #DuplicateDetection. Source: researchgate.net/publication/22…
Check out our paper on automatic data-governance for data lakes entitled Keeping the Data Lake in Form: Proximity Mining for Pre-Filtering Schema Matching and published in ACM Transactions on Information Systems dl.acm.org/doi/abs/10.114… #datalake #datagovernance #schemamatching
Can we improve on #SchemaMatching results using #DeepLearning? Yes, we can. Our paper ADnEV: Cross-Domain Schema Matching using Deep Similarity Matrix Adjustment and Evaluation coauthored with @avigalgal and Haggai Roitman was accepted to #VLDB2020. See tinyurl.com/r7lnhwv.
Schema Matching for Semi-structured and Linked Data: ieeexplore.ieee.org/abstract/docum… #LinkedData #SemanticWeb #SchemaMatching
Can we improve on #SchemaMatching results using #DeepLearning? Yes, we can. Our paper ADnEV: Cross-Domain Schema Matching using Deep Similarity Matrix Adjustment and Evaluation coauthored with @avigalgal and Haggai Roitman was accepted to #VLDB2020. See tinyurl.com/r7lnhwv.
The paper "PoWareMatch: a Quality-aware Deep Learning Approach to Improve Human Schema Matching", authored by @shraga_roee and @avigalgal, has been accepted to special issue on Deep Learning for #DataQuality (JDIQ), tackling the problem of #schemamatching with #deeplearning.
⚡ Build live virtual datasets—ready to feed into Power BI, Tableau, Looker, Excel, and more—without extra pipelines: bit.ly/3TzW5eu #DataOps #DataPreparation #SchemaMatching #NoCode #AI #BusinessIntelligence
Tired of manual schema matching? Learn how to automatically align your data for analytics in minutes: bit.ly/3TzW5eu Start your free trial today! #DataOps #DataPreparation #SchemaMatching #NoCode #AI #BusinessIntelligence
CopycHats is an #LLM-based agent that performs #schemamatching just like humans, allowing us to test revolving doors research questions that we cannot with humans. @SolomonMatan presented this work, co-authored with Bar Genossar and @avigalgal as part of #hilda2024 (#SIGMOD).
Congratulations to @JanPortisch, who sucessfully defended his thesis on "Exploiting General-Purpose #BackgroundKnowledge for Automated #SchemaMatching" yesterday at @dwsunima in front of the jury: @CPesquita @hanvdaa and Christian Bizer!
#DataFusion: extensional and intensional #completeness when integrating two data sources into one integrated result, using information from #SchemaMatching and #DuplicateDetection. Source: researchgate.net/publication/22…
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