GARNET: A holistic system approach for trending queries in microblogs

Christopher Jonathan; Amr Magdy; Mohamed F Mokbel; Albert Jonathan

doi:10.1109/ICDE.2016.7498329

GARNET: A holistic system approach for trending queries in microblogs

Christopher Jonathan, Amr Magdy, Mohamed F Mokbel, Albert Jonathan

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Scopus citations

Abstract

The recent wide popularity of microblogs (e.g., tweets, online comments) has empowered various important applications, including, news delivery, event detection, market analysis, and target advertising. A core module in all these applications is a frequent/trending query processor that aims to find out those topics that are highly frequent or trending in the social media through posted microblogs. Unfortunately current attempts for such core module suffer from several drawbacks. Most importantly, their narrow scope, as they focus only on solving trending queries for a very special case of localized and very recent microblogs. This paper presents GARNET; a holistic system equipped with one-stop efficient and scalable solution for supporting a generic form of context-aware frequent and trending queries on microblogs. GARNET supports both frequent and trending queries, any arbitrary time interval either current, recent, or past, of fixed granularity, and having a set of arbitrary filters over contextual attributes. From a system point of view, GARNET is very appealing and industry-friendly, as one needs to realize it once in the system. Then, a myriad of various forms of trending and frequent queries are immediately supported. Experimental evidence based on a real system prototype of GARNET and billions of real Twitter data show the scalability and efficiency of GARNET for various query types.

Original language	English (US)
Title of host publication	2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1251-1262
Number of pages	12
ISBN (Electronic)	9781509020195
DOIs	https://doi.org/10.1109/ICDE.2016.7498329
State	Published - Jun 22 2016
Event	32nd IEEE International Conference on Data Engineering, ICDE 2016 - Helsinki, Finland Duration: May 16 2016 → May 20 2016

Publication series

Name	2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016

Other

Other	32nd IEEE International Conference on Data Engineering, ICDE 2016
Country/Territory	Finland
City	Helsinki
Period	5/16/16 → 5/20/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access

10.1109/ICDE.2016.7498329

OpenUrl availability

Full text

Cite this

Jonathan, C., Magdy, A., Mokbel, M. F., & Jonathan, A. (2016). GARNET: A holistic system approach for trending queries in microblogs. In 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016 (pp. 1251-1262). Article 7498329 (2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDE.2016.7498329

GARNET: A holistic system approach for trending queries in microblogs. / Jonathan, Christopher; Magdy, Amr; Mokbel, Mohamed F et al.
2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1251-1262 7498329 (2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jonathan, C, Magdy, A, Mokbel, MF & Jonathan, A 2016, GARNET: A holistic system approach for trending queries in microblogs. in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016., 7498329, 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1251-1262, 32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, 5/16/16. https://doi.org/10.1109/ICDE.2016.7498329

Jonathan C, Magdy A, Mokbel MF, Jonathan A. GARNET: A holistic system approach for trending queries in microblogs. In 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1251-1262. 7498329. (2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016). doi: 10.1109/ICDE.2016.7498329

@inproceedings{d9f8b69461464f2da5127c3275aae90a,

title = "GARNET: A holistic system approach for trending queries in microblogs",

abstract = "The recent wide popularity of microblogs (e.g., tweets, online comments) has empowered various important applications, including, news delivery, event detection, market analysis, and target advertising. A core module in all these applications is a frequent/trending query processor that aims to find out those topics that are highly frequent or trending in the social media through posted microblogs. Unfortunately current attempts for such core module suffer from several drawbacks. Most importantly, their narrow scope, as they focus only on solving trending queries for a very special case of localized and very recent microblogs. This paper presents GARNET; a holistic system equipped with one-stop efficient and scalable solution for supporting a generic form of context-aware frequent and trending queries on microblogs. GARNET supports both frequent and trending queries, any arbitrary time interval either current, recent, or past, of fixed granularity, and having a set of arbitrary filters over contextual attributes. From a system point of view, GARNET is very appealing and industry-friendly, as one needs to realize it once in the system. Then, a myriad of various forms of trending and frequent queries are immediately supported. Experimental evidence based on a real system prototype of GARNET and billions of real Twitter data show the scalability and efficiency of GARNET for various query types.",

author = "Christopher Jonathan and Amr Magdy and Mokbel, {Mohamed F} and Albert Jonathan",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 32nd IEEE International Conference on Data Engineering, ICDE 2016 ; Conference date: 16-05-2016 Through 20-05-2016",

year = "2016",

month = jun,

day = "22",

doi = "10.1109/ICDE.2016.7498329",

language = "English (US)",

series = "2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1251--1262",

booktitle = "2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016",

}

TY - GEN

T1 - GARNET

T2 - 32nd IEEE International Conference on Data Engineering, ICDE 2016

AU - Jonathan, Christopher

AU - Magdy, Amr

AU - Mokbel, Mohamed F

AU - Jonathan, Albert

PY - 2016/6/22

Y1 - 2016/6/22

N2 - The recent wide popularity of microblogs (e.g., tweets, online comments) has empowered various important applications, including, news delivery, event detection, market analysis, and target advertising. A core module in all these applications is a frequent/trending query processor that aims to find out those topics that are highly frequent or trending in the social media through posted microblogs. Unfortunately current attempts for such core module suffer from several drawbacks. Most importantly, their narrow scope, as they focus only on solving trending queries for a very special case of localized and very recent microblogs. This paper presents GARNET; a holistic system equipped with one-stop efficient and scalable solution for supporting a generic form of context-aware frequent and trending queries on microblogs. GARNET supports both frequent and trending queries, any arbitrary time interval either current, recent, or past, of fixed granularity, and having a set of arbitrary filters over contextual attributes. From a system point of view, GARNET is very appealing and industry-friendly, as one needs to realize it once in the system. Then, a myriad of various forms of trending and frequent queries are immediately supported. Experimental evidence based on a real system prototype of GARNET and billions of real Twitter data show the scalability and efficiency of GARNET for various query types.

AB - The recent wide popularity of microblogs (e.g., tweets, online comments) has empowered various important applications, including, news delivery, event detection, market analysis, and target advertising. A core module in all these applications is a frequent/trending query processor that aims to find out those topics that are highly frequent or trending in the social media through posted microblogs. Unfortunately current attempts for such core module suffer from several drawbacks. Most importantly, their narrow scope, as they focus only on solving trending queries for a very special case of localized and very recent microblogs. This paper presents GARNET; a holistic system equipped with one-stop efficient and scalable solution for supporting a generic form of context-aware frequent and trending queries on microblogs. GARNET supports both frequent and trending queries, any arbitrary time interval either current, recent, or past, of fixed granularity, and having a set of arbitrary filters over contextual attributes. From a system point of view, GARNET is very appealing and industry-friendly, as one needs to realize it once in the system. Then, a myriad of various forms of trending and frequent queries are immediately supported. Experimental evidence based on a real system prototype of GARNET and billions of real Twitter data show the scalability and efficiency of GARNET for various query types.

UR - http://www.scopus.com/inward/record.url?scp=84980395715&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84980395715&partnerID=8YFLogxK

U2 - 10.1109/ICDE.2016.7498329

DO - 10.1109/ICDE.2016.7498329

M3 - Conference contribution

AN - SCOPUS:84980395715

T3 - 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016

SP - 1251

EP - 1262

BT - 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 16 May 2016 through 20 May 2016

ER -

GARNET: A holistic system approach for trending queries in microblogs

Abstract

Publication series

Other

Bibliographical note

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this