Dr. Yael Amsterdamer

Declarative User Selection with Soft Constraints
Yael Amsterdamer, Tova Milo, Amit Somech and Brit Youngman.
CIKM 2019 (to appear). | PDF |

PePPer: Fine-grained Personal Access Control via Peer Probing
Yael Amsterdamer and Osnat Drien.
ICDE 2019. | PDF | BIB |

Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer and Ido Dagan.
NAACL-HLT 2019. | PDF | BIB |

Evaluating Multiple System Summary Lengths: A Case Study
Ori Shapira, David Gabay, Hadar Ronen, Judit Bar-Ilan, Yael Amsterdamer, Ani Nenkova and Ido Dagan.
EMNLP 2018. | PDF | BIB |

PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World
Yael Amsterdamer and Oded Goldreich.
CIKM 2017. | PDF | BIB |

Interactive Abstractive Summarization for Event News Tweets
Ori Shapira, Hadar Ronen, Meni Adler, Yael Amsterdamer, Judit Bar-Ilan and Ido Dagan.
EMNLP 2017. | PDF | BIB |

Crowd Mining and Analysis
Yael Amsterdamer and Tova Milo.
Encyclopedia of Database Systems, L Liu, MT Özsu (eds.), Springer New York, NY, 2017. | PDF | BIB |

Top-k Queries on Unknown Values under Order Constraints
Antoine Amarilli, Yael Amsterdamer, Tova Milo and Pierre Senellart.
ICDT 2017. | PDF (extended version) | BIB |

December: A Declarative Tool for Crowd Member Selection
Yael Amsterdamer, Tova Milo, Amit Somech and Brit Youngman
PVLDB 9(13): 1485-1488, 2016. | PDF | BIB

Toward Semantic Image Similarity from Crowdsourced Clustering
Yanir Kleiman, George Goldberg, Yael Amsterdamer and Daniel Cohen-Or
The Visual Computer 32(6-8): 1045-1055, 2016. | PDF | BIB

A Natural Language Interface for Querying General and Individual Knowledge
Yael Amsterdamer, Anna Kukliansky and Tova Milo
PVLDB 8(12): 1430-1441, 2015. | PDF (full version) | BIB

Optimal Probabilistic Generation of XML Documents
Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo and Pierre Senellart
TOCS 57(4): 806-842, 2014. | PDF | BIB

NL2CM: A Natural Language Interface to Crowd Mining (demo)
Yael Amsterdamer, Anna Kukliansky and Tova Milo
SIGMOD 2015. | PDF | BIB

Managing General and Individual Knowledge in Crowd Mining Applications
Yael Amsterdamer, Susan B. Davidson, Anna Kukliansky, Tova Milo, Slava Novgorodov, and Amit Somech
CIDR 2015. | PDF | Slides | BIB

Foundations of Crowd Data Sourcing
Yael Amsterdamer and Tova Milo
SIGMOD Record 43(4), 2014. | PDF | BIB

OASSIS: Query Driven Crowd Mining
Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov and Amit Somech
SIGMOD 2014. | PDF | BIB

Ontology Assisted Crowd Mining (demo)
Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov and Amit Somech
PVLDB 7(13): 1597-1600, 2014. | PDF | BIB

On the Complexity of Mining Itemsets from the Crowd Using Taxonomies
Antoine Amarilli, Yael Amsterdamer and Tova Milo
ICDT 2014. | PDF | BIB

Uncertainty in Crowd Data Sourcing Under Structural Constraints
Antoine Amarilli, Yael Amsterdamer and Tova Milo
UnCrowd 2014. | PDF | BIB

CrowdMiner: Mining association rules from the crowd (demo)
Yael Amsterdamer, Yael Grossman, Tova Milo and Pierre Senellart
PVLDB 6(12):1250-1253, 2013. | PDF | BIB

Crowd Mining
Yael Amsterdamer, Yael Grossman, Tova Milo and Pierre Senellart
SIGMOD 2013. | PDF | BIB

Auto-Completion Learning for XML (demo)
Serge Abiteboul, Yael Amsterdamer, Tova Milo and Pierre Senellart
SIGMOD 2012. | PDF | BIB | poster

On Provenance Minimization
Yael Amsterdamer, Daniel Deutch, Tova Milo and Val Tannen
ACM Trans. Database Syst. 37(4):30, 2012. | PDF | BIB

Finding Optimal Probabilistic Generators for XML Collections
Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo and Pierre Senellart
ICDT 2012. | PDF | BIB

Putting Lipstick on Pig: Enabling Database-style Workflow Provenance
Yael Amsterdamer, Susan B. Davidson, Daniel Deutch, Tova Milo, Julia Stoyanovich and Val Tannen
PVLDB 5(4):346-357, 2011. | PDF | BIB

On Provenance Minimization
Yael Amsterdamer, Daniel Deutch, Tova Milo and Val Tannen
PODS 2011. | PDF | BIB

Provenance for Aggregate Queries
Yael Amsterdamer, Daniel Deutch and Val Tannen
PODS 2011. | PDF | BIB

On the Optimality of Top-k Algorithms for Interactive Web Applications
Yael Amsterdamer, Daniel Deutch and Tova Milo
WebDB 2011. | PDF | BIB

On the Limitations of Provenance for Queries With Difference
Yael Amsterdamer, Daniel Deutch and Val Tannen
TaPP 2011. | PDF | Slides | BIB

 

89111	Introduction to Object Oriented Programming
89452	Web, Crowd and Big Data Management Seminar
89542	Management of Big Web Data
89679	Workshop in Data Management

 

Databases, Management of web data and online knowledge bases, big data, crowdsourced data management.