Top

The Journal of Supercomputing

Published in:

07-03-2018

Characterizing user interest in NoSQL databases of social question and answer data

Authors: Minchul Lee, Sieun Jeon, Min Song

Published in: The Journal of Supercomputing | Issue 5/2020

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

With the advent of social media technology for sharing commonly asked questions and answers among end users, there is rapidly growing interest in understanding the characteristics as well as utilizing social question and answer (QA) data. Not only SQL (NoSQL) is a popular technical topic on social question answering Web sites and is gaining popularity with emerging demands for scalable databases of big data. Despite the great interest of users in NoSQL technology, an attempt to analyze how the actual users react to NoSQL has not yet been made. Thus, in the present work, we utilize the QA data acquired from Stack Overflow (a QA Web site that works as a large knowledge repository) to understand how people perceive NoSQL technology. To this end, latent Dirichlet allocation (LDA) topic modeling techniques are used to discover the trend of NoSQL databases. In addition, we examine a weighted LDA model to reflect the influence of answers and finally propose the topic discrimination value in an attempt to find topics that distinguish each NoSQL database.

previous article Effectiveness analysis of an IoT mechanism in support of monitoring Chinese white dolphins by simulation model

next article Developing a supervised learning-based social media business sentiment index

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Sammut C, Banerji RB (1986) Learning concepts by asking questions. In: Michalski RS, Carbonell JG, Mitchell TM (eds) Machine learning: an artificial intelligence approach, vol 2. Morgan Kaufmann. Burlington, USA, pp 167–192

King A (1994) Guiding knowledge construction in the classroom: effects of teaching children how to question and how to explain. Am Educ Res J 31:338–368CrossRef

Ross J (2009) How to ask better questions. Harv Bus Rev. https://hbr.org/2010/02/learn-to-ask-better-questions. Accessed 26 Jan 2018

Liu Z, Jansen BJ (2017) Identifying and predicting the desire to help in social question and answering. Inf Process Manag 53:490–504CrossRef

Palomera D, Figueroa A (2017) Leveraging linguistic traits and semi-supervised learning to single out informational content across how-to community question-answering archives. Inf Sci 381:20–32CrossRef

Atwood J (2009) What was stack overflow built with? Stack overflow blog. https://stackoverflow.blog/2008/09/21/what-was-stack-overflow-built-with/. Accessed 26 Jan 2018

Kanwar R, Trivedi P, Singh K (2013) NoSQL, A solution for distributed database management system. Int J Comput Appl 67:6–9

Zhang H, Wang Y, Han J (2011) Middleware design for integrating relational database and NOSQL based on data dictionary. In: 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE). IEEE, Piscataway, pp 1469–1472

Hajoui O, Dehbi R, Talea M, Batouta ZI (2015) An advanced comparative study of the most promising nosql and newsql databases with a multi-criteria analysis method. J Theor Appl Inf Technol 81:579–588

10.

Tudorica BG, Bucur C (2011) A comparison between several NoSQL databases with comments and notes. In: The 10th Roedunet International Conference (RoEduNet). IEEE, Piscataway, pp 1–5

11.

Han J, Haihong E, Le G, Du J (2011) Survey on NoSQL database. In: The 6th International Conference on Pervasive Computing and Applications (ICPCA). IEEE, Piscataway, pp 363–366

12.

Lourenço JR, Cabral B, Carreiro P, Vieira M, Bernardino J (2015) Choosing the right NoSQL database for the job: a quality attribute evaluation. J Big Data 2:18. https://doi.org/10.1186/s40537-015-0025-0 CrossRef

13.

Moniruzzaman ABM, Hossain SA (2013) Nosql database: new era of databases for big data analytics-classification, characteristics and comparison. Int J Database Theor Appl 6:1–14

14.

http://nosql-database.org/

15.

http://cassandra.apache.org/

16.

https://hbase.apache.org/

17.

http://couchdb.apache.org/

18.

http://www.mongodb.org/

19.

https://ravendb.net/

20.

http://www.aerospike.com/

21.

https://aws.amazon.com/dynamodb/?nc1=h_ls

22.

http://leveldb.org/

23.

https://redis.io/

24.

http://basho.com/products/

25.

https://www.arangodb.com/

26.

http://neo4j.org/

27.

http://orientdb.com/

28.

Parnin C, Treude C, Grammel L, Storey MA (2012) Crowd documentation: exploring the coverage and the dynamics of API discussions on stack overflow. Georgia Institute of Technology, USA

29.

Gajduk A, Madjarov G, Gjorgjevikj D (2013) Intelligent tag grouping by using an aglomerative clustering algorithm. In: The 10th Conference for Informatics and Information Technology (CIIT 2013). Springer, New York, pp 94–96

30.

Barua A, Thomas SW, Hassan AE (2014) What are developers talking about? An analysis of topics and trends in stack overflow. Empir Softw Eng 19:619–654CrossRef

31.

Yang J, Tao K, Bozzon A, Houben GJ (2014) Sparrows and owls: characterisation of expert behaviour in stack overflow. In: International Conference on User Modeling, Adaptation, and Personalization. Springer, New York, pp 266–277

32.

Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3:993–1022MATH

33.

Ramage D, Heymann P, Manning CD, Garcia-Molina H (2009) Clustering the tagged web. In: Proceedings of the Second ACM International Conference on Web Search and Data Mining. ACM, New York, pp 54–63

34.

Celikyilmaz A, Hakkani-Tur D, Tur G (2010) LDA based similarity modeling for question answering. In: Proceedings of the NAACL HLT 2010 workshop on semantic search. MIT Press, Cambridge, pp 1–9

35.

Zhao WX, Jiang J, Weng J, He J, Lim EP, Yan H, Li X (2011) Comparing twitter and traditional media using topic models. In: The European Conference on Information Retrieval. Springer, Berlin, pp 338–349

36.

Jeong YS, Lee SH, Gweon G, Choi HJ (2017) Discovery of topic flows of authors. J Super Comput. https://doi.org/10.1007/s11227-017-2065-z CrossRef

37.

http://www.nltk.org/

38.

https://radimrehurek.com/gensim/

39.

Wallach HM, Murray I, Salakhutdinov R, Mimno D (2009) Evaluation methods for topic models. In: Proceedings of the 26th Annual International Conference on Machine Learning. ACM, New York, pp 1105–1112

40.

Griffiths TL, Steyvers M (2004) Finding scientific topics. Proc Natl Acad Sci 101:5228–5235CrossRef

41.

Messina A, Storniolo P, Urso A (2016) Keep it simple, fast and scalable: a multi-model NoSQL DBMS as an (eb) XML-over-SOAP service. In: 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE, Piscataway, pp 220–225

Title: Characterizing user interest in NoSQL databases of social question and answer data
Authors: Minchul Lee
Sieun Jeon
Min Song
Publication date: 07-03-2018
Publisher: Springer US
Published in: The Journal of Supercomputing / Issue 5/2020
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-018-2293-x

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Other articles of this Issue 5/2020

Fast distribution network reconfiguration algorithm based on minus feasibility analysis unit

Visualized analysis of knowledge development in green building based on bibliographic data mining

Adaptive iterative learning control based on particle swarm optimization

A decade of big data literature: analysis of trends in light of bibliometrics

Asymmetric sifter-shaped microchannel network in biological MEMS for size- and mass-based mammalian cell sorting and separation using hydrodynamic technique

Network-enabled MIMO systems with distributed data processing

Premium Partner