Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Towards Near Real-Time Social Recommendations for the Enterprise

  • Chapter
  • First Online:
Innovations in Knowledge Management

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 95))

  • 2461 Accesses

Abstract

The widespread use of social platforms in contemporary organizations leads to the generation of large amounts of content shared through various social tools. This information is distributed and often unstructured, making it difficult to fully exploit its value in an enterprise context. While Semantic Web technologies allow for publishing meaningful and structured data, major challenges include: (1) real-time integration of distributed social data, and (2) content personalization to identify relevant pieces of information and present them to users to limit the information overload. We propose to combine Semantic Web technologies with standardized transport protocols, such as XMPP, to provide an efficient and open source layer for aggregation of distributed social data in an enterprise. In addition, we propose a personalisation approach, which is able to provide filtered and personalised access on top of such distributed social data.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook
USD 15.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://www.facebook.com/note.php?note_id=206484249362078.

  2. 2.

    http://facebook.com.

  3. 3.

    See for example http://www.reuters.com/.

  4. 4.

    http://www.w3.org/TR/sparql11-update/.

  5. 5.

    http://www.w3.org/Submission/2008/SUBM-SPARQL-Update-20080715/.

  6. 6.

    http://xmpp.org/rfcs/rfc6120.html, http://xmpp.org/rfcs/rfc6121.html, http://xmpp.org/rfcs/rfc6122.html.

  7. 7.

    http://xmpp.org/extensions/xep-0060.html.

  8. 8.

    see http://xmpp.org/extensions/xep-0124.html.

  9. 9.

    http://xmpp.org/extensions/xep-0060.html.

  10. 10.

    https://github.com/derixmpppubsub/derixmpppubsub/.

  11. 11.

    http://xmpp.org/extensions/xep-0060.html.

  12. 12.

    http://stackexchange.com/.

  13. 13.

    http://stackoverflow.com/.

  14. 14.

    https://creativecommons.org/licenses/by-sa/2.5/.

  15. 15.

    http://www.clearbits.net/creators/146-stack-exchange-data-dump.

  16. 16.

    http://security.stackexchange.com/.

  17. 17.

    http://webapps.stackexchange.com/.

  18. 18.

    http://bicycles.stackexchange.com/.

  19. 19.

    http://www.dbpedia.org/.

  20. 20.

    http://www.w3.org/2004/02/skos/.

  21. 21.

    http://wiki.dbpedia.org/Downloads37.

  22. 22.

    http://www.igniterealtime.org/projects/openfire/.

  23. 23.

    http://www.igniterealtime.org/projects/smack/.

  24. 24.

    http://www.igniterealtime.org/projects/smack/.

  25. 25.

    https://jena.apache.org/documentation/serving_data/index.html.

  26. 26.

    https://jena.apache.org/documentation/tdb/index.html.

  27. 27.

    https://www.mediawiki.org/wiki/API:Opensearch.

  28. 28.

    https://www.mediawiki.org/wiki/API:Search.

  29. 29.

    https://jena.apache.org/documentation/tdb/index.html.

  30. 30.

    https://tomcat.apache.org/.

  31. 31.

    http://www.igniterealtime.org/projects/smack/.

  32. 32.

    https://jena.apache.org/documentation/serving_data/index.html.

References

  1. Amini, B., Ibrahim, R., Othman, M.: Discovering the impact of knowledge in recommender systems: a comparative study. Int. J. Comput. Sci. Eng. Surv. (IJCSES) 2(3), 1–14 (2011)

    Article  Google Scholar 

  2. Berthold, M., Brandes, U., Kötter, T., Mader, M., Nagel, U., Thiel, K.: Pure spreading activation is pointless. In: Conference on Information and Knowledge Management (2009)

    Google Scholar 

  3. Bhide, M., Deolasee, P., Katkar, A., Panchbudhe, A., Ramamritham, K., Shenoy, P.: Adaptive push-pull: disseminating dynamic web data. IEEE Trans. Comput. 51, 652–668 (2002)

    Article  Google Scholar 

  4. Burke, R.: Hybrid recommender systems: survey and experiments. User Model. User-Adap. Inter. 12(4), 331–370 (2002)

    Article  MATH  Google Scholar 

  5. Cohen, P., Kjeldsen, R.: Information retrieval by constrained spreading activation in semantic networks. Inf. Process. Manage. 23(4), 255–268 (1987)

    Article  Google Scholar 

  6. Crestani, F.: Application of spreading activation techniques in information retrieval. Artif. Intell. Rev. 11(6), 453–482 (1997)

    Article  Google Scholar 

  7. Deshpande, M., Karypis, G.: Item-based top-n recommendation algorithms. ACM Trans. Inf. Syst. (TOIS) 22(1), 143–177 (2004)

    Article  Google Scholar 

  8. Du, B., Brewer, E.A.: Dtwiki: a disconnection and intermittency tolerant wiki. In: Proceeding of the 17th International Conference on World Wide Web, WWW ‘08, pp. 945–952. ACM, New York. http://doi.acm.org/10.1145/1367497.1367624 (2008)

  9. Eugster, P., Guerraoui, R., Sventek, J.: Distributed asynchronous collections: abstractions for publish/subscribe interaction. In: Bertino, E. (ed.) ECOOP 2000 Object-Oriented Programming, Lecture Notes in Computer Science, vol. 1850, pp. 252–276. Springer, Berlin. http://dx.doi.org/10.1007/3-540-45102-1_13 (2000)

    Google Scholar 

  10. Eugster, P.T., Felber, P.A., Guerraoui, R., Kermarrec, A.M.: The many faces of publish/subscribe. ACM Comput. Surv. 35, 114–131 (2003). http://doi.acm.org/10.1145/857076.857078

    Google Scholar 

  11. Fernández, J.D., Martínez-Prieto, M.A., Gutiérrez, C., Polleres, A., Arias, M.: Binary RDF representation for publication and exchange (HDT). J. Web Semant. http://dataweb.infor.uva.es/wp-content/uploads/2013/01/jws2013.pdf (2013)

    Google Scholar 

  12. Gold, A.H., Malhotra, A., Segars, A.H.: Knowledge management: an organizational capabilities perspective. J. Manage. Inf. Syst. 18, 185–214. http://portal.acm.org/citation.cfm?id=1289679.1289687 (2001)

    Google Scholar 

  13. Griffin, K., Flanagan, C.: Evaluation of asynchronous event mechanisms for browser-based real-time communication integration. In: Elleithy, K., Sobh, T., Iskander, M., Kapila, V., Karim, M.A., Mahmood, A. (eds.) Technological Developments in Networking, Education and Automation, pp. 461–466. Springer, The Netherlands (2010)

    Chapter  Google Scholar 

  14. Herlocker, J., Konstan, J., Terveen, L., Riedl, J.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. (TOIS) 22(1), 53 (2004)

    Article  Google Scholar 

  15. Ilyas, I., Beskales, G., Soliman, M.: A survey of top-k query processing techniques in relational database systems. ACM Comput. Surv. (CSUR) 40(4), 11 (2008)

    Article  Google Scholar 

  16. Mendes, P., Jakob, M., Garca-Silva, A., Bizer, C.: Dbpedia spotlight: shedding light on the web of documents. In: Proceedings of the 7th International Conference on Semantic Systems. pp. 1–8. ACM (2011)

    Google Scholar 

  17. Montaner, M., López, B., De La Rosa, J.: A taxonomy of recommender agents on the internet. Artif. Intell. Rev. 19(4), 285–330 (2003)

    Article  Google Scholar 

  18. Mukherjee, P., Leng, C., Schurr, A.: Piki—a peer-to-peer based wiki engine. Peer-to-Peer Computing, IEEE International Conference on 0, pp. 185–186 (2008)

    Google Scholar 

  19. Oram, A. (ed.): Peer-to-Peer: Harnessing the Power of Disruptive Technologies. O’Reilly & Associates Inc., Sebastopol, CA (2001)

    Google Scholar 

  20. Passant, A.: Measuring semantic distance on linking data and using it for resources recommendations. In: Linked AI: AAAI Spring Symposium “Linked Data Meets Artificial Intelligence”, AIII (2010)

    Google Scholar 

  21. Passant, A.: Semantic Web Technologies For Enterprise 2.0. IOS Press (2010)

    Google Scholar 

  22. Pazzani, M., Billsus, D.: Content-based recommendation systems. The adaptive web, pp. 325–341 (2007)

    Google Scholar 

  23. Perugini, S., Gonçalves, M., Fox, E.: Recommender systems research: a connection-centric survey. J. Intell. Inf. Syst. 23(2), 107–143 (2004)

    Article  MATH  Google Scholar 

  24. Rada, R., Mili, H., Bicknell, E., Blettner, M.: Development and application of a metric on semantic nets. IEEE Trans. Syst. Man Cybern. 19(1), 17–30 (1989)

    Article  Google Scholar 

  25. Sabherwal, R., Becerra-Fernandez, I.: Business Intelligence: Practices, Technologies, & Management. Wiley (2010)

    Google Scholar 

  26. Sarwar, B., Karypis, G., Konstan, J., Reidl, J.: Item-based collaborative filtering recommendation algorithms. In: International Conference on the World Wide Web. pp. 285–295. ACM, New York (2001)

    Google Scholar 

  27. Shinavier, J.: Optimizing real-time RDF data streams. CoRR abs/1011.3595 (2010)

    Google Scholar 

  28. Skaf, H., Rahhal, C., Molli, P.: Peer-to-peer Semantic wikis. Research Report RR-6714, INRIA. http://hal.inria.fr/inria-00336680/PDF/RR-6714.pdf (2008)

  29. Trams, S., Frischmuth, P., Arndt, N., Ermilov, T., Auer, S.: Weaving a distributed, semantic social network for mobile users. In: Extended Semantic Web Conference (2011)

    Google Scholar 

  30. Weiss, S., Urso, P., Molli, P.: Wooki: a p2p wiki-based collaborative writing tool. In: Proceedings of the 8th International Conference on Web Information Systems Engineering. pp. 503–512. WISE’07, Springer, Berlin. http://portal.acm.org/citation.cfm?id=1781374.1781430 (2007)

Download references

Acknowledgements

This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 and by the ADVANSSE project funded by Cisco Systems.

Author information

Authors and Affiliations

  1. INSIGHT Centre for Data Analytics, NUI Galway, Galway, Ireland

    Benjamin Heitmann, Maciej Dabrowski & Conor Hayes

  2. Cisco Systems, Galway, Ireland

    Keith Griffin

Authors
  1. Benjamin Heitmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Maciej Dabrowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Conor Hayes
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Keith Griffin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Benjamin Heitmann .

Editor information

Editors and Affiliations

  1. Department of International Business Communication, Copenhagen Business School, Frederiksberg, Denmark

    Liana Razmerita

  2. Sellinger School of Business and Management, Loyola University Maryland, Baltimore, Maryland, USA

    Gloria Phillips-Wren

  3. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Heitmann, B., Dabrowski, M., Hayes, C., Griffin, K. (2016). Towards Near Real-Time Social Recommendations for the Enterprise. In: Razmerita, L., Phillips-Wren, G., Jain, L. (eds) Innovations in Knowledge Management. Intelligent Systems Reference Library, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47827-1_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-47827-1_9

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47826-4

  • Online ISBN: 978-3-662-47827-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation