Skip to main content
SpringerLink
Log in

Adaptation and Recommendation Techniques to Improve the Quality of Annotations and the Relevance of Resources in Web 2.0 and Semantic Web-Based Applications

  • Chapter
  • First Online:
Web 2.0 & Semantic Web

Part of the book series: Annals of Information Systems ((AOIS,volume 6))

  • 1811 Accesses

Abstract

The Web 2.0 and the Semantic Web represent different forms of evolution of the first-generation Web, and both of them enrich Web resources with semantic annotations. Recommendation and personalization of Web resources is another trend that becomes more and more important with the growth of information, and both the Web 2.0 and the Semantic Web are deeply connected to it. The objective of this paper is to analyze the contribution of recommendation and adaptation techniques to these paradigms and to investigate if these techniques can be used as a bridge for their integration. More specifically, the paper will focus on the contribution of adaptation and recommendation techniques to improve the quality of annotations in the Web 2.0, Semantic Web, and mixed approaches and the relevance of annotated resources that are retrieved or filtered to users.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Tim O’Reilly, an Open Source movement supporter and father of the O’Reilly Media company, first used the term Web 2.0 in 2004. Then he defined this paradigm more precisely in the famous paper “What Is Web 2.0. Design Patterns and Business Model for the Next generation of Software” [44].

  2. 2.

    The vision of the SW was first sketched by the W3C director, Tim Berners-Lee, in 1998 [9, 10, 12].

  3. 3.

    A vertical portal is a Web site focused on a relatively narrow range of goods and services, whereas a horizontal portal is a Web site that serves as an entry point to a range of content across several verticals such as news, e-mail, weather, travel, etc.

  4. 4.

    Notice that Xu et al. in [68] provide a partially similar list of criteria, which however just regards Web 2.0 annotations.

  5. 5.

    This last issue addresses also criterion (d) regarding “time-variable annotations.”

  6. 6.

    http://www.w3.org/RDF/FAQ

  7. 7.

    http://www.flickr.com/

  8. 8.

    http://www.flickr.com/groups/api/discuss/72157594497877875/

  9. 9.

    http://groupme.org/

  10. 10.

    http://km.aifb.uni-karlsruhe.de/ws/ckc2007/

  11. 11.

    http://www.icity.di.unito.it/dsa/

  12. 12.

    Introduction to the Workshop on SW Personalization, held in the Third European SW Conference. http://www.kbs.uni-hannover.de/$\sim$ henze/swp06/

  13. 13.

    The most recent direction of research tries to apply these approaches not only to Web objects but also to objects in the real world. Indeed, it is becoming frequent to speak about the Internet of Things [27], in the sense that all things in the real world can become part of the Internet and thus requiring to be semantically described, similar to Web objects. See, for example, the Socialight (http://www.socialight.com) and Tag Your World (http://www.grapheety.com) projects.

References

  1. Abbott R (2004) Subjectivity as a Concern for Information Science: a Popperian Perspective, Journal of Information Science 30(1):95–106

    Article  Google Scholar 

  2. Antoniou G, van Harmelen F (2004) A Semantic Web Primer. MIT Press

    Google Scholar 

  3. Apted T, Kay J, Lum A (2004) Supporting Metadata Creation with an Ontology Built from an Extensible Dictionary. In: Proceedings of Third International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, Springer

    Google Scholar 

  4. Aroyo L, De Bra P, Houben GJ (2004) Embedding Information Retrieval in Adaptive Hypermedia: IR meets AHA!, in Hypermedia 10(1):53–76, Taylor Graham Publishing

    Google Scholar 

  5. Aroyo L, Stash N, Wang Y, Gorgels P, Rutledge L (2007) CHIP Demonstrator: Semantics-Driven Recommendations and Museum Tour Generation. In: Proceedings of the 6th International SW Conference – ISWC 2007, Busan, Korea, November 11–15, 879–886

    Google Scholar 

  6. Basile P, Gendarmi D, Lanubile F, Semeraro G (2007) Recommending Smart Tags in a Social Bookmarking System. In: Proceedings of International Workshop on Bridging the Gap Between SW and Web 2.0, at 4th European SW Conference ESWC’07, 22–29

    Google Scholar 

  7. Bateman S (2007) Collaborative Tagging: Folksonomy, Metadata, Visualization, E-Learning, Master of Science Thesis, supervised by Gordon McCalla, Department of Computer Science, University of Saskatchewan, Saskatoon

    Google Scholar 

  8. Bateman S, Brooks C, McCalla G (2006) Collaborative Tagging Approaches for Ontological Metadata in Adaptive E-Learning Systems. In: Workshop on Applications of SW Technologies for E-Learning (AH 06), 3–12

    Google Scholar 

  9. Berners-Lee T (1998) Semantic Web Road Map, http://www.w3.org/DesignIssues/Semantic.html, Accessed 20 June 2008

  10. Berners-Lee T (2002) The Future of the Web, in Scientific American, Special Online Issue, April 2002, 2:24–30

    Google Scholar 

  11. Berners-Lee T, Hendler J, Lassila O (2001) The Semantic Web, Scientific American

    Google Scholar 

  12. Berners-Lee T, Hall W, Hendler JA, O’Hara K, Shadbolt N, Weitzner DJ (2006) A Framework for Web Science. Foundations and Trends (R) in Web Science. Now Publishers Inc.

    Google Scholar 

  13. Beys P, Benjamins VR, van Heijst G (1996) Remedying the reusability–usability tradeoff for problem-solving methods. In: Gaines BR, Musen MA, eds. Proceedings of the 10th Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, 2.1–2.20, Alberta, Canada. SRDG Publications

    Google Scholar 

  14. Brin S, Page L (1998) The Anatomy of a Large-Scale Hypertextual Web Search Engine. Computer Networks and ISDN Systems, 30(1–7):107–117

    Article  Google Scholar 

  15. Brusilovsky P (1996) Methods and Techniques of Adaptive Hypermedia. User Modeling and User-Adapted Interactaction 6(2–3):87–129

    Article  Google Scholar 

  16. Brusilovsky P, Sosnovsky S, Yudelson M (2004) Adaptive Hypermedia Services for E-Learning. In: AH 2004 Workshops proceedings, Eindhoven, the Netherlands, 470–479

    Google Scholar 

  17. Brusilovsky P, Kobsa A, Nejdl W, eds. (2007) The Adaptive Web. Methods and Strategies of Web Personalization, No 4321 LNCS, Springer

    Google Scholar 

  18. Carmagnola F, Cena F, Console L, Cortassa O, Gena C, Goy A, Torre I, Toso A, Vernero F (2008) Tag-Based User Modeling for Social Multi-Device Adaptive Guides. User Modeling and User-Adapted Interaction. DOI:10.1007/s11257-008-9052-2

    Google Scholar 

  19. Chirita P, Costache S, Nejdl W, Handschuh S (2007) P-TAG: Large Scale Automatic Generation of Personalized Annotation Tags for the Web. In: Proceedings of the 16th International Conference on World Wide Web (Banff, Alberta, Canada, May 8–12, 2007). WWW ’07. ACM, New York, 845–854

    Google Scholar 

  20. Conlan O, Wade V (2004) Evaluation of APeLS – An Adaptive eLearning Service Based on the Multi-Model, Metadata-Driven Approach. In: Proceedings of AH2004, Eindhoven, The Netherlands

    Google Scholar 

  21. Cristea A, de Mooij A (2003) LAOS: Layered WWW AHS Authoring Model and Their Corresponding Algebraic Operators. In: Proc. of 12th WWW Conference, Budapest, Hungary, http://www2003.org/cdrom/papers/alternate/P301/p301-cristea.pdf, Accessed 10 June 2008

  22. De Bra P, Houben G-J, Wu H (1999) AHAM: A Dexter-Based Reference Model for Adap-tive Hypermedia, In: Proc. International Conference on Hypertext ’99, 147–156

    Google Scholar 

  23. Dolog P, Henze N, Nejdl W, Sintek M (2004) The Personal Reader: Personalizing and Enriching Learning Resources Using SW Technologies. In: Proc. AH 2004, LNCS, Springer, 85–94

    Google Scholar 

  24. Frasincar F, Houben G-J (2002) Hypermedia Presentation Adaptation on the SW, In: Adaptive Hypermedia and Adaptive Web-Based Systems, De Bra P, Brusilovsky P, Conejo R, eds. Second International Conference, AH2002, Malaga, Spain, Springer LNCS 2347:133–142

    Google Scholar 

  25. Garlatti G, Iksal S (2004) A Flexible Composition Engine for Adaptive Web Site. In: Proc. AH2004, Eindhoven, The Netherlands

    Google Scholar 

  26. Gendarmi D, Abbattista F, Lanubile F (2007) Fostering Knowledge Evolution Through Community-Based Participation. Proceedings of the 1st Workshop on Social and Collaborative Construction of Structured Knowledge at WWW’07

    Google Scholar 

  27. Gershenfeld N, Krikorian R, Cohen D (2004) The Internet of Things. Scientific American 291:44, 76–81

    Article  Google Scholar 

  28. Golder S, Huberman BA (2006) Usage Patterns of Collaborative Tagging Systems. Journal of Information Science 32(2):198–208

    Article  Google Scholar 

  29. Gomez-Perez A, Fernandez-Lopez M, Corcho O (2003) Ontological Engineering. Springer

    Google Scholar 

  30. Gruber T (2007) Ontology of Folksonomy: A Mash-Up of Apples and Oranges, in International Journal on SW and Information Systems, 3(1):1–11

    Google Scholar 

  31. Guy M, Tonkin E (2006) Folksonomies: Tidying up Tags? D-Lib Magazine, 12(1), http://www.dlib.org/dlib/january06/guy/01guy/htm, Accessed 13 June 2008

  32. Haase P, Hotho A, Schmidt-Thieme L, Sure Y (2005) Collaborative and Usage-Driven Evolution of Personal Ontologies. In: Proceedings of the European SW Conference ESWC 2005, 486–499

    Google Scholar 

  33. Jaschke R, Marinho L, Hotho A, Schmidt-Thieme L, Stumme G (2007) Tag Recommendations in Folksonomies, in LNCS Knowledge Discovery in DataBases, vol 4702/2007:506–514, Springer, Berlin

    Google Scholar 

  34. Koch N, Wirsing M (2002) The Munich Reference Model for Adaptive Hypermedia Applications, In: Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems. London, UK, 213–222

    Google Scholar 

  35. Kotis K, Vouros GA, Alonso JP (2004) HCOME: Tool-Supported Methodology for Collabo-Ratively Devising Living Ontologies. In: SWDB’04: 2. Int. Workshop on Semantic Web and Databases

    Google Scholar 

  36. Kravcík M, Gaševic D (2007) Leveraging the SW for Adaptive Education. Journal of Interactive Media in Education (Adaptation and IMS Learning Design, Special Issue, Daniel Burgos, ed), 2007/06. http://hdl.handle.net/1820/1080, Accessed 23 June 2008

  37. Macgregor G, McCulloch E (2006) Collaborative Tagging as a Knowledge Organisation and Resource Discovery Tool, Library Review 55:291–300

    Article  Google Scholar 

  38. Marlow C, Naaman M, Davis M, Boyd D (2006) Tagging Paper, Taxonomy, Flickr, Academic Article, ToRead. In: Press A, ed. In: Proceedings of Hypertext and Hypermedia, 31–40

    Google Scholar 

  39. Mathes A (2004) Folksonomies – Cooperative Classification and Communication Through Shared Metadata, USA. http://adammathes.com/academic/computer-mediated-communication /folksonomies.pdf. Accessed 9 June 2008

  40. Mika P (2005) Ontologies Are Us: A Unified Model of Social Networks and Semantics. Proceedings of the 4th International SW Conference, LNCS, Vol. 3729 Springer, 522–536

    Google Scholar 

  41. Mishne G (2006) AutoTag: A Collaborative Approach to Automated Tag Assignment for Weblog Posts. In: Proceedings of the 15th international Conference on World Wide Web, Edinburgh, Scotland, May 23–26, ACM, New York, 953–954

    Google Scholar 

  42. Nauerz A, Pietschmann S, Pietzsch R (2007) Collaborative Annotation-Driven Adaptation in Web Portals, In: Proceedings of the 18th Conference on Hypertext and Hypermedia, Manchester, UK, September 10–12, 2007, ACM, New York

    Google Scholar 

  43. Nauerz A, Junginger M, Zhao S (2008) A Recommender Based on Automatic Metadata Extraction and User-Driven Collaborative Annotation, In: Proceedings of the International Workshop on Recommendation and Collaboration, at IUI ’08, Canary Islands, Spain, Jan 13–16

    Google Scholar 

  44. O’Reilly T (2005) What Is Web 2.0, Design Patterns and Business Models for the Next Generation of Software. http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html. Accessed 4 June 2008

  45. Pazzani M, Billsus D (2007) Content-Based Recommendation Systems, In: The Adaptive Web, LNCS 4321:325–341

    Article  Google Scholar 

  46. Preece J, Nonnecke B, Andrews D (2004) The Top Five Reasons for Lurking: Improving Community Experiences for Everyone. Computers in Human Behavior 20(2):201–223

    Article  Google Scholar 

  47. Quintarelli E (2005) Folksonomies: Power to the People, Proceedings of the 1st International Society for Knowledge Organization, Italy (ISKOI), UniMIB Meeting, June 24, Milan, http://www.iskoi.org/doc/folksonomies.htm. Accessed 22 June 2008

  48. Razmerita L, Angehrn A, Maedche A (2003) Ontology-Based User Modeling for Knowledge Management Systems. In: LNCS 2702, Springer

    Google Scholar 

  49. Salton G, Buckley C (1988) Term-Weighting Approaches in Automatic Text Retrieval. In: Information Processing and Management, 24(5):513–523

    Article  Google Scholar 

  50. Sauermann L, Bernardi A, Dengel A (2005) Overview and Outlook on the Semantic Desktop. In: Proceedings of the 1st Workshop on the Semantic Desktop at ISWC

    Google Scholar 

  51. Sauermann L, Dengel A, van Elst L, Lauer A, Maus H, Schwarz S (2006) Personalization in the EPOS Project. In: Proceedings of the International Workshop on SW Personalization, Budva, Montenegro, June 12, 42–52

    Google Scholar 

  52. Schafer JB, Frankowski D, Herlocker J, Sen S (2007) Collaborative Filtering Recommendater Systems, in The Adaptive Web, LNCS 4321:291–324

    Google Scholar 

  53. Shadbolt N, Berners-Lee T, Hall W (2006) The Semantic Web Revisited, IEEE Intelligent Systems 21(3):96–101

    Article  Google Scholar 

  54. Shepitsen A, Gemmell J, Mobasher B, Burke R (2008) Personalized Recommendation in Collaborative Tagging Systems Using Hierarchical Clustering, In: International Conference on Recommender Systems 08, Losanna, October 23–25

    Google Scholar 

  55. Shirky C (2005) Ontology Is Overrated: Categories, Links, and Tags, http://www.shirky/com/writings/ontology{\_}overrated.html. Accessed 10 May 2008

  56. Sinha R (2005) A Cognitive Analysis of Tagging, http://www.rashmisinha.com/archives/05_09/tagging-cognitive.htm. Accessed 28 June 2008

  57. Soroka V, Jacovi M (2004) The Diffusion of Reachout: Analysis and Framework for the Successful Diffusion of Collaboration Technologies. In: Proceedings of the 2004 ACM Conference on Computer Supported Cooperative Work. New York, NY, USA, 314–323

    Google Scholar 

  58. Soroka V, Rafaeli S (2006) Invisible Participants: How Cultural Capital Relates to Lurking Behavior. In: Proceedings of the 15th International Conference on World Wide Web. New York, USA, 163–172

    Google Scholar 

  59. Specia L, Motta E (2007) Integrating Folksonomies with the Semantic Web, The Semantic Web: Research and Applications, 4th European Semantic Web Conference, ESWC 07, LNCS 4519:624–639

    Google Scholar 

  60. Staab S, Schnurr HP, Studer R, Sure Y (2001) Knowledge Processes and Ontologies. IEEE Intelligent Systems 16

    Google Scholar 

  61. Stock O, Zancanaro M (2007) PEACH – Intelligent Interfaces for Museum Visits (Cognitive Technologies), Springer, New York

    Book  Google Scholar 

  62. Szomszor M, Cattuto C, Alani H, O’Hara, Baldassarri K, Loreto V, Servedio V (2007) Folksonomies, the Semantic Web, and Movie Recommendation. In: Proceedings of 4th European Semantic Web Conference Innsbruck, Austria, 71–85

    Google Scholar 

  63. Tempich C, Pinto HS, Staab S (2006) Ontology Engineering Revisited: An Iterative Case Study. In: Proceedings of ESWC 06, 110–124

    Google Scholar 

  64. Torre I (2009) Adaptive systems in the era of the semantic and social web, a survey, User Modeling and User-Adapted Interaction, DOI 10.1007/s11257-009-9067-3

    Google Scholar 

  65. Van der Sluijs K, Houben G (2008) Relating User Tags to Ontological Information. In: Proceedings of UbiqUM 2008: Theories and Applications of Ubiquitous User Modeling Workshop at IUI ’08, Canary Islands, Spain, Jan 13–16

    Google Scholar 

  66. Vander Wal T (2004) Folksonomy Coinage and Definition, http://vanderwal.net/folksonomy.html. Accessed 28 May 2008

  67. Vdovjak R, Frasincar F, Houben G, Barna P (2003) Engineering Semantic Web Information Systems in Hera, Journal of Web Engineering, Vol. 2, No. 1/2:3–26

    Google Scholar 

  68. Xu Z, Fu Y, Mao J, Su D (2006) Towards the Semantic Web: Collaborative Tag Suggestions. In: Proceedings of Workshop on Collaborative Web Tagging, WWW 06, May 22–26

    Google Scholar 

Download references

Acknowledgements

This review has been supported by the Italian Ministry of Education, University and Research (MIUR), PRIN-05.

Author information

Authors and Affiliations

  1. Department of Computer Sciences, University of Torino, Corso Svizzera 185, 10149, Torino, Italy

    Ilaria Torre

Authors
  1. Ilaria Torre
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ilaria Torre .

Editor information

Editors and Affiliations

  1. School of Business Administration, University of Belgrade, Jove Ilica 154, Belgrade, 11000, Serbia

    Vladan Devedžić

  2. School of Computing &, Athabasca University, University Drive 1, Athabasca, T9S 3A3, Canada

    Dragan Gaševic

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Torre, I. (2010). Adaptation and Recommendation Techniques to Improve the Quality of Annotations and the Relevance of Resources in Web 2.0 and Semantic Web-Based Applications. In: Devedžić, V., Gaševic, D. (eds) Web 2.0 & Semantic Web. Annals of Information Systems, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1219-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-1219-0_3

  • Published:

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-1218-3

  • Online ISBN: 978-1-4419-1219-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation