Travelled to:1 × Australia
1 × Greece
3 × USA
Collaborated with:T.Milo P.Senellart D.Deutch V.Tannen A.Kukliansky S.B.Davidson Y.Grossman S.Novgorodov A.Somech S.Abiteboul J.Stoyanovich
Talks about:crowd (6) mine (5) proven (3) queri (3) interfac (2) languag (2) natur (2) workflow (1) lipstick (1) knowledg (1)
Person: Yael Amsterdamer
DBLP: Amsterdamer:Yael
Contributed to:
2015
2015201420142013201320122011
2011Wrote 10 papers:
- SIGMOD-2015-AmsterdamerKM #interface #mining #named #natural language
- NL2CM: A Natural Language Interface to Crowd Mining (YA, AK, TM), pp. 1433–1438.
- VLDB-2015-AmsterdamerKM #interface #natural language #query
- A Natural Language Interface for Querying General and Individual Knowledge (YA, AK, TM), pp. 1430–1441.
- SIGMOD-2014-AmsterdamerDMNS #mining #named #query
- OASSIS: query driven crowd mining (YA, SBD, TM, SN, AS), pp. 589–600.
- VLDB-2014-AmsterdamerDMNS #mining #ontology
- Ontology Assisted Crowd Mining (YA, SBD, TM, SN, AS), pp. 1597–1600.
- SIGMOD-2013-AmsterdamerGMS #mining
- Crowd mining (YA, YG, TM, PS), pp. 241–252.
- VLDB-2013-AmsterdamerGMS #mining #named
- CrowdMiner: Mining association rules from the crowd (YA, YG, TM, PS), pp. 1250–1253.
- SIGMOD-2012-AbiteboulAMS #learning #xml
- Auto-completion learning for XML (SA, YA, TM, PS), pp. 669–672.
- VLDB-2012-AmsterdamerDDMST11 #workflow
- Putting Lipstick on Pig: Enabling Database-style Workflow Provenance (YA, SBD, DD, TM, JS, VT), pp. 346–357.
- PODS-2011-AmsterdamerDMT #on the
- On provenance minimization (YA, DD, TM, VT), pp. 141–152.
- PODS-2011-AmsterdamerDT #query
- Provenance for aggregate queries (YA, DD, VT), pp. 153–164.