Publications by Martin%20Hentschel

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2015

Engineering the Web in the Big Data Era - 15th International Conference, ICWE 2015, Rotterdam, The Netherlands, June 2015
The online communities available on the Web have shown to be significantly interactive and capable of collectively solving difficult tasks. Nevertheless, it is still a challenge to decide how a task should be dispatched through the network due to the high diversity of the communities and the dynamically changing expertise and social availability of their members. We introduce CrowdSTAR, a framework designed to route tasks across and within online crowds. CrowdSTAR indexes the topic-specific expertise and social features of the crowd contributors and then uses a routing algorithm, which suggests the best sources to ask based on the knowledge vs. availability trade-offs. We experimented with the proposed framework for question and answering scenarios by using two popular social networks as crowd candidates: Twitter and Quora.
@inproceedings{abc,
	abstract = {The online communities available on the Web have shown to be significantly interactive and capable of collectively solving difficult tasks. Nevertheless, it is still a challenge to decide how a task should be dispatched through the network due to the high diversity of the communities and the dynamically changing expertise and social availability of their members. We introduce CrowdSTAR, a framework designed to route tasks across and within online crowds. CrowdSTAR indexes the topic-specific expertise and social features of the crowd contributors and then uses a routing algorithm, which suggests the best sources to ask based on the knowledge vs. availability trade-offs. We experimented with the proposed framework for question and answering scenarios by using two popular social networks as crowd candidates: Twitter and Quora.},
	author = {Besmira Nushi and Omar Alonso and Martin Hentschel and Vasileios Kandylas},
	booktitle = {Engineering the Web in the Big Data Era - 15th International Conference, ICWE 2015},
	title = {CrowdSTAR: A Social Task Routing Framework for Online Communities.},
	url = {http://dx.doi.org/10.1007/978-3-319-19890-3_15},
	venue = {Rotterdam, The Netherlands},
	year = {2015}
}

2014

CoRR, -, January 2014
The online communities available on the Web have shown to be significantly interactive and capable of collectively solving difficult tasks. Nevertheless, it is still a challenge to decide how a task should be dispatched through the network due to the high diversity of the communities and the dynamically changing expertise and social availability of their members. We introduce CrowdSTAR, a framework designed to route tasks across and within online crowds. CrowdSTAR indexes the topic-specific expertise and social features of the crowd contributors and then uses a routing algorithm, which suggests the best sources to ask based on the knowledge vs. availability trade-offs. We experimented with the proposed framework for question and answering scenarios by using two popular social networks as crowd candidates: Twitter and Quora.
@inproceedings{abc,
	abstract = {The online communities available on the Web have shown to be significantly interactive and capable of collectively solving difficult tasks. Nevertheless, it is still a challenge to decide how a task should be dispatched through the network due to the high diversity of the communities and the dynamically changing expertise and social availability of their members. We introduce CrowdSTAR, a framework designed to route tasks across and within online crowds. CrowdSTAR indexes the topic-specific expertise and social features of the crowd contributors and then uses a routing algorithm, which suggests the best sources to ask based on the knowledge vs. availability trade-offs. We experimented with the proposed framework for question and answering scenarios by using two popular social networks as crowd candidates: Twitter and Quora.},
	author = {Besmira Nushi and Omar Alonso and Martin Hentschel and Vasileios Kandylas},
	booktitle = {CoRR},
	title = {CrowdSTAR: A Social Task Routing Framework for Online Communities.},
	url = {http://arxiv.org/abs/1407.6714},
	venue = {-},
	year = {2014}
}

2012

ETH Zürich, Diss. Nr. 20295, March 2012
Supervised by: Prof. Donald Kossmann
@phdthesis{abc,
	author = {Martin Hentschel},
	school = {20295},
	title = {Scalable systems for data analytics and integration },
	year = {2012}
}
Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany, January 2012
@inproceedings{abc,
	author = {Simon Loesing and Martin Hentschel and Tim Kraska and Donald Kossmann},
	booktitle = {Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany},
	title = {Stormy: An Elastic and Highly Available Streaming Service in the Cloud},
	url = {http://doi.acm.org/10.1145/2320765.2320789},
	year = {2012}
}

2011

January 2011
@techreport{abc,
	author = {Martin Hentschel and Maxim Grinev and Donald Kossmann},
	title = {Building Data Flows Using Distributed Key-Value Stores},
	year = {2011}
}
PVLDB, January 2011
@inproceedings{abc,
	author = {Maxim N. Grinev and Maria P. Grineva and Martin Hentschel and Donald Kossmann},
	booktitle = {PVLDB},
	title = {Analytics for the RealTime Web},
	url = {http://www.vldb.org/pvldb/vol4/p1391-grinev.pdf},
	year = {2011}
}

2010

Workshops Proceedings of the 26th International Conference on Data Engineering, ICDE 2010, Long Beach, California, USA, March 2010
@inproceedings{abc,
	author = {Laura M. Haas and Ren{\'e}e J. Miller and Donald Kossmann and Martin Hentschel},
	booktitle = {Workshops Proceedings of the 26th International Conference on Data Engineering, ICDE 2010},
	title = {A first step towards integration independence.},
	url = {http://dx.doi.org/10.1109/ICDEW.2010.5452753},
	venue = {Long Beach, California, USA},
	year = {2010}
}
PVLDB, January 2010
@article{abc,
	author = {Martin Hentschel and Laura M. Haas and Ren{\'e}e J. Miller},
	journal = {PVLDB},
	title = {Just-in-time Data Integration in Action.},
	year = {2010}
}

2009

PVLDB, January 2009
@inproceedings{abc,
	author = {Tim Kraska and Martin Hentschel and Gustavo Alonso and Donald Kossmann},
	booktitle = {PVLDB},
	title = {Consistency Rationing in the Cloud: Pay only when it matters.},
	url = {http://www.vldb.org/pvldb/2/vldb09-759.pdf},
	year = {2009}
}
Conceptual Modeling - ER 2009, 28th International Conference on Conceptual Modeling, Gramado, Brazil, January 2009
@inproceedings{abc,
	author = {Laura M. Haas and Martin Hentschel and Donald Kossmann and Ren{\'e}e J. Miller},
	booktitle = {Conceptual Modeling - ER 2009, 28th International Conference on Conceptual Modeling, Gramado, Brazil},
	title = {Schema AND Data: A Holistic Approach to Mapping, Resolution and Fusion in Information Integration.},
	url = {http://dx.doi.org/10.1007/978-3-642-04840-1_5},
	year = {2009}
}
January 2009
@techreport{abc,
	author = {Martin Hentschel and Donald Kossmann and Daniela Florescu and Laura M. Haas and Tim Kraska and Ren{\'e}e J. Miller},
	title = {Scalable data integration by mapping data to queries},
	year = {2009}
}

2007

January 2007
@techreport{abc,
	author = {Martin Hentschel and Donald Kossmann and Tim Kraska and Jonas Rutishauser and Daniela Florescu},
	title = {Mapping Data Queries: Semantics of the IS-A Rule},
	year = {2007}
}