Difference between revisions of "IEEE BigDataService 2019"

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Revision as of 17:12, 3 November 2021

Event Rating

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IEEE BigDataService 2019
Fifth IEEE International Conference On Big Data Service And Applications
Event in series	IEEE BigDataService
Dates	2019/04/04 (iCal) - 2019/04/09
Homepage:	http://www.big-dataservice.net/
Submitting link:	https://easychair.org/account/signin?l=AzzfjcphAHTHLWRim4hx4W
Location
Location:	San Francisco East Bay, California, USA
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Important dates
Submissions:	2019/01/10
Notification:	2019/01/22

Registration link:	https://www.regonline.com/registration/Checkin.aspx?EventID=2546510
Early bird student:	$ 500 / {{{Early bird fee reduced}}} (reduced)
On site student:	$ 600 / {{{On site fee reduced}}} (reduced)
Early bird regular:	$ 875
On site regular:	$ 1050
Committees
Organizers:	IEEE Computer Society
General chairs:	Simon Shim, Sudip Bhattacharjee, Xiaohui Yuan
PC chairs:	Fanjing Meng, Muhammad Younas, Vijayan Sugumaran
Workshop chairs:	Ping Ping
PC members:	Barbara Pernici, Cheng Yuan, Chentao Wu, Chris Gniady, Chuanqi Tao
Keynote speaker:	Marianne Huchard, Lily Mei, Amit Nagar, Li Deng, Dai Hua, Dana Petcu, Deze Zeng, Djamal Benslimane, Domenico Talia
Table of Contents
Contents 1 Event Rating

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AcronymThis property is of the datatype Text and it is being used to provide the acronym of an academic event or an event series.It is a recommended property when describing an academic event or event series and it is not needed for the DOI registration process via DataCite.

IEEE BigDataService 2019 +

End dateThis property is of the datatype Date and it is being used to provide the end date of an academic event or a project.This property is aligned with icaltzd:dtend.It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite.

April 9, 2019 +

Event in seriesThe property Event in series, of the datatype Page, is used to state that an academic event is part of a specific academic event series. Although this property is not needed for the DOI registration process via DataCite its usage is strongly recommended.

IEEE BigDataService +

Event typeThis property of the datatype Text is used to specify the format of an academic event. The use of this property is recommended. It is necessary for the DOI registration process via DataCite.

Conference +

Has location cityThe property Has location city can be used to specify the city where a street, building, event, etc. is located in.It is of the datatype Page and a special case of the Property:Located in. Other properties for specifying locations are: property:Has location country, property:Has location state and property:Has location address.When specifying the city in which an academic event takes or took place, using this property is not needed for the DOI registration process via DataCite but strongly recommended.

San Francisco East Bay +

Has location countryThe property Has location country is used to describe the country where something is located in.It is of the datatype Page and a special case of the Property:Located in. Other properties for specifying locations are: property:Has location city, property:Has location state and property:Has location address.When specifying the country in which an academic event takes or took place, using this property is not needed for the DOI registration process via DataCite but strongly recommended.

USA +

Has year

2019 +

HomepageThis property is of the datatype URL and it is being used to provide the official website of an academic event or an event series.It is a recommended property when describing an academic event or event series and it is not needed for the DOI registration process via DataCite.

http://www.big-dataservice.net/ +

IsA

Event +

Start dateThis property is of the datatype Date and it is being used to provide the start date of an academic event or a project.This property is aligned with icaltzd:dtstart. It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite.

April 4, 2019 +

@@ Line 1: / Line 1: @@
 {{Event
+|Acronym=IEEE BigDataService 2019
+|Title=Fifth IEEE International Conference On Big Data Service And Applications
+|Series=IEEE BigDataService
+|Type=Conference
 |Field=big data science
+|Start date=2019/04/04
+|End date=2019/04/09
+|Homepage=http://www.big-dataservice.net/
+|City=San Francisco East Bay
+|State=California
+|Country=USA
 |Submission deadline=2019/01/10
 |Notification=2019/01/22
@@ Line 16: / Line 26: @@
 |Early bird student=500
 |Registration link=https://www.regonline.com/registration/Checkin.aspx?EventID=2546510
-|Acronym        =IEEE BigDataService 2019
-|End date       =2019/04/09
-|Series         =IEEE BigDataService
-|Type           =Conference
-|Country        =US
-|State          =US/CA
-|City           =San Francisco East Bay
-|Homepage       =http://www.big-dataservice.net/
-|Start date     =2019/04/04
-|Title          =Fifth IEEE International Conference On Big Data Service And Applications
 }}
 ''Enter your description here. Maybe just paste in the call for papers.''

Difference between revisions of "IEEE BigDataService 2019"

Revision as of 17:12, 3 November 2021

Event Rating

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