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[protege-discussion] key setting reg

kala devi ramar kala_ramar at yahoo.com
Thu Sep 19 10:45:08 PDT 2013




dear all

how to set primary and foreign key for a class. is it correct to set the properties of class through annotation properties.

kindly clear my doubt

thank u

R.kaladevi
--------------------------------------------
On Mon, 9/9/13, protege-discussion-request at lists.stanford.edu <protege-discussion-request at lists.stanford.edu> wrote:

 Subject: protege-discussion Digest, Vol 86, Issue 4
 To: protege-discussion at lists.stanford.edu
 Date: Monday, September 9, 2013, 12:37 AM
 
 Send protege-discussion mailing list
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 Today's Topics:
 
    1. Call for Demo and Poster - BDSE2013
 (Big Data Science and
       Engineering), 3-5 Dec. 2013, Sydney,
 Australia (Chang Liu)
 
 
 ----------------------------------------------------------------------
 
 Message: 1
 Date: Sun, 8 Sep 2013 17:14:46 +1000
 From: Chang Liu <changliu.aus at gmail.com>
 To: protege-discussion at lists.stanford.edu
 Subject: [protege-discussion] Call for Demo and Poster -
 BDSE2013 (Big
     Data Science and Engineering), 3-5 Dec.
 2013, Sydney, Australia
 Message-ID:
    
 <CAH4Q8CgfJ_SfDk+gH44pGgZmihme6ffiHkMAjCrs5_XFC+oP2w at mail.gmail.com>
 Content-Type: text/plain; charset="iso-8859-1"
 
 As enquired by some authors, the Call for Poster and Demo
 for BDSE2013 is
 now ready.
 
 
 Call for Poster and Demo:
 The 2nd IEEE International Conference on Big Data Science
 and Engineering
 (BDSE2013), 3-5 December 2013, Sydney, Australia.
 
 Website: http://www.swinflow.org/confs/bdds2013/demo.htm
 
 
 Important Dates:
 Deadline for proceedings published posters/demos with
 display at
 conference: 30 September 2013
 Notification of Acceptance: 2 October 2013
 Final versions of proceeding published posters/demos: 15
 October 2013
 Deadline for web published posters/demos with display at
 conference: 30
 October 2013
 
 Submissions:
 Please email your posters/demos to confs.aus at gmail.com
 with the email
 subject as "BDSE2013 demo-poster submission".
 
 Two types of posters and demos are welcome. Both of them
 will be displayed
 during the conference.
 
 1. Proceedings published posters and demos: Submission is a
 2-page short
 paper describing the post/demo content, research, relevance
 and importance
 to Big Data Science and Engineering community. If accepted,
 the 2-page
 short paper will be published in the main conference
 proceedings.
 
 
 2. Web published posters and demos: Submission is a 1-page
 extended
 abstract. Such posters/demos will not be included in the
 conference
 proceedings, but will be published on the conference
 website.
 
 ---------------
 Participants are invited to submit posters and research
 demos to BDSE2013.
 BDSE2013 (Big Data Science and Engineering) is created to
 provide a prime
 international forum for both researchers, industry
 practitioners and
 environment experts to exchange the latest fundamental
 advances in the
 state of the art and practice of Big Data as well as
 joint-venture and
 synergic research and development across various related
 areas. Topics of
 interest for posters and demos include, but not limited to:
 
 ? Big Data theory, applications and challenges
 ? Recent development in Big Data and MapReduce
 ? Big Data mining and analytics
 ? Big Data Infrastructure and Cloud Computing
 ? Big Data visualization
 ? Large data stream processing on cloud
 ? Large incremental datasets on cloud
 ? Distributed and federated datasets
 ? NoSQL data stores and DB scalability
 ? Big Data sharing and privacy preserving
 ? Security, trust and risk in Big Data
 ? Big Data placement, scheduling, and optimization
 ? Extension of the MapReduce programming model
 ? Distributed file systems for Big Data
 ? MapReduce for Big Data processing, resource scheduling and
 SLA
 ? MapReduce on heterogeneous distributed environments
 ? Performance characterization, evaluation and optimization
 ? Simulation and debugging of MapReduce and Big Data systems
 and tools
 ? Volume, Velocity, Variety, Value and Veracity of Big Data
 ? Multiple source data processing and integration with
 MapReduce
 ? Storage and computation management of Big Data
 ? Large-scale scientific workflow in support of Big Data
 processing
 ? Algorithms and theory for distributed systems
 ? Data management and distributed data systems
 ? Security, privacy, fault tolerance and reliability in
 distributed systems
 ? Distributed ad hoc, ubiquitous and pervasive systems
 ? Mobile systems and development for handheld devices such
 as mobile phones
 ? Distributed system architectures and software such as
 runtime systems,
 multicore programming languages, performance modelling and
 evaluation,
 programming environments and tools, and etc.
 ? Distributed computing applications such as management of
 big data,
 scientific applications, social media applications, web
 applications and
 mobile computing
 
 Chairs:
 Xuyun Zhang, University of Technology Sydney, Australia
 Chang Liu, University of Technology Sydney, Australia
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