Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Dynamic FOAF management method for social networks in the social web environment

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

Abstract

Nowadays various researches have been conducted on the utilization of Friend-Of-A-Friend (FOAF) as the foundation of social network services. However, automatic update and dynamic management of FOAF for the social network services are difficult. Hereupon, we propose a novel method to overcome the above problems by applying FOAF and RDF Site Summary (RSS) to OnLine Analytical Processing (OLAP) system. The proposed method generates the OLAP cube by using the collected FOAF and RSS from the web, and then processes the generated OLAP cubes. The implemented result shows that foaf:interest of users has reached an average of 19 % increase in 4 weeks. In proportion to the increased foaf:interest change, the number of foaf:knows of users has grown to an average of 9 %. By using the suggested method, we can provide better services in coping up with the rapid change of user interests with the automatic application of FOAF.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

References

  1. Barabasi AL, Jeong H, Neda Z et al (2002) Evolution of the social network of scientific collaborations. Phys A, Stat Mech Appl 311(3–4):590–614

    Article  MathSciNet  MATH  Google Scholar 

  2. Li T, Yu F, Lin Y et al (2011) Trusted computing dynamic attestation using a static analysis based behaviour model. J Converg 2(1):61–68

    Google Scholar 

  3. Gonzalez JL, Marcelnez R (2011) Phoenix: fault-tolerant distributed web storage based on URLs. J Converg 2(1):79–86

    Google Scholar 

  4. Breslin J, Decker S (2007) The future of social networks on the Internet—the need for semantics. IEEE Internet Comput 11(6):86–90

    Article  Google Scholar 

  5. Teraoka T (2012) Organization and exploration of heterogeneous personal data collected in daily life. Hum-centric Comput Inf Sci 2(1):1–15

    Article  Google Scholar 

  6. FOAF project. http://www.foaf-project.org

  7. Dumbill E (2002) Finding friends with XML and RDF. XML watch

  8. Brickley D, Miller L (2003) FOAF vocabulary specification. Technical report

  9. Herring SC, Scheidt LA, Bonus S et al (2004) Bridging the gap: a genre analysis of weblogs. In: Proc of the 37th annual Hawaii international conference, p 11

    Google Scholar 

  10. Mika P (2005) Flink: semantic web technology for the extraction and analysis of social networks. J Web Semant 3(2–3):211–223

    Article  Google Scholar 

  11. Matsuo Y, Mori J, Hamasaki M et al (2007) POLYPHONET: an advanced social network extraction system from the web. J Web Semant 5(4):262–278

    Article  Google Scholar 

  12. Culotta A, Bekkerman R, McCallum A (2004) Extracting social networks and contact information from email and the web

  13. Paolillo JC, Mercure S, Wright E (2005) The social semantics of LiveJournal FOAF: structure and change from 2004 to 2005. In: Proc ISWC 2005, pp 69–80

    Google Scholar 

  14. RSS Specifications. http://www.rssboard.org/rss-specification

  15. Gruhl D, Meredith DN, Pieper JH et al (2006) The web beyond popularity: a really simple system for web scale RSS. In: Proc 15th international conference on World Wide Web, pp 183–192

    Chapter  Google Scholar 

  16. Golbeck J, Rothstein M (2008) Linking social networks on the web with foaf: a semantic web case study. In: Proc of the twenty-third AAAI conference on artificial intelligence, pp 1138–1143

    Google Scholar 

  17. Livejournal. http://livejournal.com

  18. Facebook. http://facebook.com

  19. Jukic N, Jukic B, Malliaris M (2008) Online analytical processing (OLAP) for decision support. In: Handbook on decision support systems 1, pp 259–276

    Chapter  Google Scholar 

  20. Chaudhuri S, Dayal U (1997) An overview of data warehousing and OLAP technology. SIGMOD Rec 26(1):65–74

    Article  Google Scholar 

  21. Inmon WH (2005) Building the data warehouse. Wiley, New York

    Google Scholar 

  22. Kumar R, Novak J, Tomkins A (2010) Structure and evolution of online social networks. In: Link mining: models, algorithms, and applications, pp 337–357

    Chapter  Google Scholar 

  23. Aikebaier A, Enokido T, Takizawa M (2011) Trustworthy group making algorithm in distributed systems. Hum-centric Comput Inf Sci 1(6):1–15

    Google Scholar 

  24. Zhou L, Ding L, Finin T (2011) How is the semantic web evolving? A dynamic social network perspective. Comput Hum Behav 27(4):1294–1302

    Article  Google Scholar 

  25. Yeung C, Liccardi I, Lu K et al (2009) Decentralization: the future of online social networking. School of Electronics and Computer Science, University of Southampton

  26. Jung J, Euzenat J (2007) Towards semantic social networks. In: The semantic web: research and applications, pp 267–280

    Chapter  Google Scholar 

  27. Mika P (2005) Social networks and the semantic web: the next challenge. IEEE Intell Syst 20(1):82–85

    MathSciNet  Google Scholar 

  28. Mika P (2005) Ontologies are us: a unified model of social networks and semantics. In: Proc the semantic web—ISWC 2005, pp 522–536

    Chapter  Google Scholar 

  29. Finin T, Ding L, Zhou L et al (2005) Social networking on the semantic web. Learn Organ 12(5):418–435

    Article  Google Scholar 

  30. Szomszor M, Alani H, Cantador I et al (2008) Semantic modelling of user interests based on cross-folksonomy analysis. In: Proc the semantic web—ISWC 2008, pp 632–648

    Chapter  Google Scholar 

  31. Chakrabarti S, Joshi MM, Punera K et al (2010) The structure of broad topics on the web, pp 251–262

  32. Duong TH, Nguyen NT, Jo GS (2010) Constructing and mining a semantic-based academic social network. J Intell Fuzzy Syst 21(3):197–207

    MATH  Google Scholar 

  33. Jiawei H, Yongjian F, Wei W et al (1996) DMQL: a data mining query language for relational databases. In: SIGMOD96’ workshops on research issues in data mining and knowledge discovery

    Google Scholar 

  34. FOAF me. http://foaf.me/index.php

  35. Bortoli S, Stoermer H, Bouquet P et al (2007) Foaf-o-matic-solving the identity problem in the foaf network. In: Proc semantic web applications and perspectives (SWAP 2007), pp 130

    Google Scholar 

  36. Kruk SR (2004) FOAF-realm-control your friends’ access to the resource. In: Proc FOAF workshop

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to In-Jeong Chung.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sohn, JS., Chung, IJ. Dynamic FOAF management method for social networks in the social web environment. J Supercomput 66, 633–648 (2013). https://doi.org/10.1007/s11227-012-0847-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-012-0847-x

Keywords