Reading List

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Provenance: Overview

Provenance in Databases

Would like to present: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Would like to critique: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

  • Curated Databases W. Tan, P. Buneman, J. Cheney, S. Vansumerren. ACM Symposium on Principles of Database Systems (PODS), 2008.

Provenance Management: Storage, Indexing and Querying

Would like to present: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Would like to critique: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>


  • Querying and Creating Visualizations by Analogy. Carlos E. Scheidegger, Huy T. Vo, David Koop, Juliana Freire and Claudio T. Silva. IEEE Transactions on Visualization and Computer Graphics, 13(6), pp. 1560-1567, 2007. Best paper in IEEE Visualization 2007.

Provenance/Workflow/Graph Indexing

Would like to present: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Would like to critique: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>


Additional papers:


Presentation:

Video lecture:

Provenance Mining

Would like to present: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Would like to critique: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Provenance Applications: Publications

Would like to present: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Would like to critique: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

  • Reproducible Research Fomel, Sergey; Claerbout, Jon F. CiSE Volume: 11 Issue: 1 Date: Jan.-Feb. 2009 Page(s): 5-7 Digital Object Identifier 10.1109/MCSE.2009.14

Provenance: Security and Privacy

Would like to present: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Would like to critique: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>


Storing Scientific Data

Would like to present: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Would like to critique: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Web schema matching and schema integration

Would like to present: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Would like to critique: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Thanh:

Avishek:


Some more papers

Some more papers on Dataspaces:

Presentation:

Querying Diverse Data

Relational data on the Web

Would like to present: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Would like to critique: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Pravin

Huong

  • [1] Information-theoretic tools for mining database structure from large data sets. Periklis Andritsos, Renee J. Miller and Panayiotis Tsaparas. SIGMOD 2004

Some More Papers

Presentation:

Data integration on the fly (or almost...)

Would like to present: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Would like to critique: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Zhan:

Additional papers:

Presentation PPT:

Usable query interfaces for structured data

Mark:

Komal:


Presentation:

Snippet Generation and Ranking

The Deep Web

Would like to present: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

Would like to critique: <<add your name and rate your preference from 1-10, 1=least interested, 10 = very interested>>

  • Google's Deep Web crawl. Jayant Madhavan, David Ko, Lucja Kot, Vignesh Ganapathy, Alex Rasmussen, Alon Y. Halevy. PVLDB 1(2): 1241-1252 (2008) (*Ramesh will present this)

Information Extraction

Zhan will present (long long paper, but only need to have an overview):

Parasaran will present:

Mark will present:

Thanh will present:

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