Anish Das Sarma, Martin Theobald, and Jennifer Widom.
Live: A lineage-supported versioned dbms.
Technical report, Stanford University, 2009.
[&nsbp;bib&nsbp;| &nsbp;http&nsbp;]
This paper presents LIVE, a complete DBMS designed for applications
with many stored derived relations, and with a need for simple versioning
capabilities when base data is modified. Target applications include,
for example, scientific data management and data integration. A key
feature of LIVE is the use of lineage (provenance) to support
modifications and versioning in this environment. In our system,
lineage significantly facilitates both: (1) efficient propagation
of modifications from base to derived data; and (2) efficient execution
of a wide class of queries over versioned, derived data. LIVE is
fully implemented; detailed experimental results are presented that
validate our techniques.
Keywords: Live
[2]
Deepavali Bhagwat, Laura Chiticariu, Wang-Chiew Tan, and Gaurav Vijayvargiya.
An annotation management system for relational databases.
In Proceedings of the Thirtieth international conference on Very
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Boris Glavic and Gustavo Alonso.
Perm: Processing provenance and data on the same data model through
query rewriting.
In Proceedings of the 25th International Conference on Data
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Rajendra Bose, Robert G. Mann, and Diego Prina-Ricotti.
Astrodas: Sharing assertions across astronomy catalogues through
distributed annotation.
In IPAW, pages 193-202. Springer, 2006.
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Keywords: AstroDas
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Brooke Rhead, Donna Karolchik, Robert M. Kuhn, Angie S. Hinrichs, Ann S. Zweig,
Pauline A. Fujita, Mark Diekhans, Kayla E. Smith, Kate R. Rosenbloom,
Brian J. Raney, Andy Pohl, Michael Pheasant, Laurence R. Meyer, Katrina
Learned, Fan Hsu, Jennifer Hillman-Jackson, Rachel A. Harte, Belinda
Giardine, Timothy R. Dreszer, Hiram Clawson, Galt P. Barber, David Haussler,
and W. James Kent.
The ucsc genome browser database:update 2010.
In Nucleic acids research Journal, volume 38, pages D613-619,
2010.
[ bib |
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The University of California, Santa Cruz (UCSC) Genome Browser website (http://genome.ucsc.edu/) provides a large database of publicly available sequence and annotation data along with an integrated tool set for examining and comparing the genomes of organisms, aligning sequence to genomes, and displaying and sharing users' own annotation data. As of September 2009, genomic sequence and a basic set of annotation 'tracks' are provided for 47 organisms, including 14 mammals, 10 non-mammal vertebrates, 3 invertebrate deuterostomes, 13 insects, 6 worms and a yeast. New data highlights this year include an updated human genome browser, a 44-species multiple sequence alignment track, improved variation and phenotype tracks and 16 new genome-wide ENCODE tracks. New features include drag-and-zoom navigation, a Wiki track for user-added annotations, new custom track formats for large datasets (bigBed and bigWig), a new multiple alignment output tool, links to variation and protein structure tools, in silico PCR utility enhancements, and improved track configuration tools.
[6]
Bryan C.Russell, Antonio Torralba, Kevin P.Murphy, and William T.Freeman.
Labelme: A database and web-based tool for image annotation.
International Journal of Computer Vision, 77(1-3):157-173,
2008.
[ bib |
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Annie Chabert, Ed Grossman, Larry S. Jackson, Stephen R. Pietrowiz, and Chris
Seguin.
Java object-sharing in habanero.
Commun. ACM, 41(6):69-76, 1998.
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Keywords: Habanero
[8]
Laura Chiticariu, Wang-Chiew Tan, and Gaurav Vijayvargiya.
Dbnotes: a post-it system for relational databases based on
provenance.
In Proceedings of the 2005 ACM SIGMOD international conference
on Management of data, pages 942-944, New York, NY, USA, 2005. ACM.
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Elizabeth F. Churchill, Jonathan Trevor, Sara Bly, Les Nelson, and Davor
Cubranic.
Anchored conversations: chatting in the context of a document.
In Proceedings of the SIGCHI conference on Human factors in
computing systems, pages 454-461, New York, NY, USA, 2000. ACM.
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D. Karolchik, R. Baertsch, M. Diekhans, T. S. Furey, A. Hinrichs, Y. T. Lu,
K. M. Roskin, M. Schwartz, C. W. Sugnet, D. J. Thomas, R. J. Weber,
D. Haussler, and W. J. Kent.
The UCSC Genome Browser Database.
Nucleic Acids Research, 31(1):51-54, 2003.
[ bib |
DOI |
arXiv |
http ]
The University of California Santa Cruz (UCSC) Genome Browser Database is an up to date source for genome sequence data integrated with a large collection of related annotations. The database is optimized to support fast interactive performance with the web-based UCSC Genome Browser, a tool built on top of the database for rapid visualization and querying of the data at many levels. The annotations for a given genome are displayed in the browser as a series of tracks aligned with the genomic sequence. Sequence data and annotations may also be viewed in a text-based tabular format or downloaded as tab-delimited flat files. The Genome Browser Database, browsing tools and downloadable data files can all be found on the UCSC Genome Bioinformatics website (http://genome.ucsc.edu), which also contains links to documentation and related technical information.
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Abdulmotaleb El-Saddik, Shervin Shirmohammadi, Nicolas D. Georganas, and Ralf
Steinmetz.
Jasmine: Java application sharing in multiuser interactive
environments.
In IDMS '00: Proceedings of the 7th International Workshop on
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pages 214-226, London, UK, 2000. Springer-Verlag.
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Sean E. Ellis and Dennis P. Groth.
A collaborative annotation system for data visualization.
In AVI '04: Proceedings of the working conference on Advanced
visual interfaces, pages 411-414, New York, NY, USA, 2004. ACM.
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Keywords: CAV
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Mohamed Y. Eltabakh, Walid G. Aref, Ahmed K. Elmagarmid, Mourad Ouzzani, and
Yasin N. Silva.
Supporting annotations on relations.
In Proceedings of the 12th International Conference on Extending
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Floris Geerts, Anastasios Kementsietsidis, and Diego Milano.
imondrian: A visual tool to annotate and query scientific databases.
In International Journal of Computer Vision, 2008.
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Floris Geerts, Anastasios Kementsietsidis, and Diego Milano.
Mondrian: Annotating and querying databases through colors and
blocks.
In ICDE '06: Proceedings of the 22nd International Conference on
Data Engineering, page 82, Washington, DC, USA, 2006. IEEE Computer Society.
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Dennis P. Groth and Kristy Streefkerk.
Provenance and annotation for visual exploration systems.
IEEE Transactions on Visualization and Computer Graphics,
12(6):1500-1510, 2006.
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Reid Harmon, Walter Patterson, William Ribarsky, and Jay Bolter.
The virtual annotation system.
In VRAIS '96: Proceedings of the 1996 Virtual Reality Annual
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IEEE Computer Society.
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José Kahan, Marja-Riitta Koivunen, Eric Prud'Hommeaux, and Ralph R. Swick.
Annotea: an open rdf infrastructure for shared web annotations.
Computer Networks Journal, 39:589-608, 2002.
[ bib |
DOI ]
Annotea is a Web-based shared annotation system based on a general-purpose
open resource description framework (RDF) infrastructure, where annotations
are modeled as a class of metadata . Annotations are viewed as statements
made by an author about a Web document. Annotations are external
to the documents and can be stored in one or more annotation servers
. One of the goals of this project has been to re-use as much existing
W3C technology as possible. We have reached it mostly by combining
RDF with XPointer, XLink, and HTTP. We have also implemented an instance
of our system using the Amaya editor/browser and a generic RDF database,
accessible through an Apache HTTP server. In this implementation,
the merging of annotations with documents takes place within the
client. The paper presents the overall design of Annotea and describes
some of the issues we have faced and how we have solved them
Keywords: Annotea
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Maria M. Loughlin and John F. Hughes.
An annotation system for 3d fluid flow visualization.
In VIS '94: Proceedings of the conference on Visualization '94,
pages 273-279, Los Alamitos, CA, USA, 1994. IEEE Computer Society Press.
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Dong Xin Luna, Halevy Alon, and Yu Cong.
Data integration with uncertainty.
The VLDB Journal, 18(2):469-500, 2009.
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[21]
Walid G. Aref Mohamed Y. Eltabakh, Mourad Ouzzani.
bdbms - a database management system for biological data.
In CIDR 2007, Third Biennial Conference on Innovative Data
Systems Research, Asilomar, CA, USA, January 7-10, 2007, Online Proceedings,
pages 196-206, 2007.
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Keywords: bdbms
[22]
Michi Mutsuzaki, Martin Theobald, Ander de Keijzer, Jennifer Widom, Parag
Agrawal, Omar Benjelloun, Anish Das Sarma, Raghotham Murthy, and Tomoe
Sugihara.
Trio-one: Layering uncertainty and lineage on a conventional dbms.
In Proceedings of CIDR conference (system demonstration), 2007.
[ bib |
http ]
Trio is a new kind of database system that supports data, uncertainty,
and lineage in a fully integrated manner. The first Trio prototype,
dubbed Trio-One, is built on top of a conventional DBMS using data
and query translation techniques together with a small number of
stored procedures. This paper describes Trio-One's translation scheme
and system architecture, showing how it efficiently and easily supports
the Trio data model and query language.
Keywords: Trio
[23]
Omar Benjelloun, Anish Das, Sarma Alon, and Halevy Jennifer Widom.
Databases with uncertainty and lineage.
In VLDB Journal, volume 17, pages 243-246, 2008.
[ bib |
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[24]
Omar Benjelloun, Anish Das, Sarma Alon, and Halevy Jennifer Widom.
Uldbs: Databases with uncertainty and lineage.
In In VLDB, pages 953-964, 2006.
[ bib ]
This paper introduces uldb s, an extension of relational databases
with simple yet expressive constructs for representing and manipulating
both Lineage and Uncertainty.
Uncertain data and data lineage are two important areas of data management
that have been considered extensively but in isolation, however many
applications require the features in tandem. Fundamentally, lineage
enables simple and consistent representation of uncertain data, it
correlates uncertainty in query results with uncertainty in the input
data, and query processing with lineage and uncertainty together
presents computational benefits over treating them separately. We
show that the ULDB representation is complete, and that it permits
straightforward implementation of many relational operations. We
define two notions of ULDB minimality- data-minimal and lineage-minimal-and
study minimization of ULDB representations under both notions. With
lineage, derived relations are no longer self-contained: their uncertainty
depends on uncertainty in the base data. We provide algorithms for
the new operation of extracting a database subset in the presence
of interconnected uncertainty. Finally, we show how ULDB enable a
new approach to query processing in probabilistic databases.
s form the basis of the Trio system, under development at Stanford.
[25]
Panos K. Chrysanthis Qinglan Li, Alexandros Labrinidis.
Vip: A user-centric view-based annotation framework for scientific
data.
In Scientific and Statistical Database Management 20th
International Conference, SSDBM 2008, Hong Kong, China, July 9-11, 2008
Proceedings. Springer Berlin / Heidelberg, 2008.
[ bib |
DOI ]
Keywords: ViP
[26]
Shervin Shirmohammadi, Abdulmotaleb El Saddik, Nicolas D. Georganas, and Ralf
Steinmetz.
Web-based multimedia tools for sharing educational resources.
Journal of Educational Resources in Computing (JERIC), 1, 2001.
[ bib |
DOI ]
[27]
S. Shirmohammadi and N. Georganas.
Jets: A java-enabled telecollaboration system.
In ICMCS '97: Proceedings of the 1997 International Conference
on Multimedia Computing and Systems, page 541, Washington, DC, USA, 1997.
IEEE Computer Society.
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[28]
Divesh Srivastava.
Intensional associations between data and metadata.
In Proceedings of the ACM SIGMOD International Conference on
Management of Data (SIGMOD, pages 401-412, 2007.
[ bib ]
Keywords: MMS
[29]
Jenny Yuen, Bryan Russell, Ce Liu, and Antonio Torralba.
Labelme video: building a video database with human annotations.
In IEEE International Conference on Computer Vision (ICCV),
2009.
[ bib ]
Keywords: LabelMe video
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