IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v4y2012i3p852-864d20242.html
   My bibliography  Save this article

When the Social Meets the Semantic: Social Semantic Web or Web 2.5

Author

Listed:
  • Salvatore F. Pileggi

    (Health and Wellbeing Technologies—Institute for the Application of Advanced Information and Communication Technologies (TSB-ITACA), Polytechnic University of Valencia, Valencia 46022, Spain)

  • Carlos Fernandez-Llatas

    (Health and Wellbeing Technologies—Institute for the Application of Advanced Information and Communication Technologies (TSB-ITACA), Polytechnic University of Valencia, Valencia 46022, Spain)

  • Vicente Traver

    (Health and Wellbeing Technologies—Institute for the Application of Advanced Information and Communication Technologies (TSB-ITACA), Polytechnic University of Valencia, Valencia 46022, Spain)

Abstract

The social trend is progressively becoming the key feature of current Web understanding (Web 2.0). This trend appears irrepressible as millions of users, directly or indirectly connected through social networks, are able to share and exchange any kind of content, information, feeling or experience. Social interactions radically changed the user approach. Furthermore, the socialization of content around social objects provides new unexplored commercial marketplaces and business opportunities. On the other hand, the progressive evolution of the web towards the Semantic Web (or Web 3.0) provides a formal representation of knowledge based on the meaning of data. When the social meets semantics, the social intelligence can be formed in the context of a semantic environment in which user and community profiles as well as any kind of interaction is semantically represented (Semantic Social Web). This paper first provides a conceptual analysis of the second and third version of the Web model. That discussion is aimed at the definition of a middle concept (Web 2.5) resulting in the convergence and integration of key features from the current and next generation Web. The Semantic Social Web (Web 2.5) has a clear theoretical meaning, understood as the bridge between the overused Web 2.0 and the not yet mature Semantic Web (Web 3.0).

Suggested Citation

  • Salvatore F. Pileggi & Carlos Fernandez-Llatas & Vicente Traver, 2012. "When the Social Meets the Semantic: Social Semantic Web or Web 2.5," Future Internet, MDPI, vol. 4(3), pages 1-13, September.
    • Handle: RePEc:gam:jftint:v:4:y:2012:i:3:p:852-864:d:20242
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/4/3/852/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/4/3/852/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bernard J. Jansen & Mimi Zhang & Kate Sobel & Abdur Chowdury, 2009. "Twitter power: Tweets as electronic word of mouth," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2169-2188, November.
    2. Peter Dodds & Christopher Danforth, 2010. "Measuring the Happiness of Large-Scale Written Expression: Songs, Blogs, and Presidents," Journal of Happiness Studies, Springer, vol. 11(4), pages 441-456, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ahmad M. Alghamdi & Salvatore Flavio Pileggi & Osama Sohaib, 2023. "Social Media Analysis to Enhance Sustainable Knowledge Management: A Concise Literature Review," Sustainability, MDPI, vol. 15(13), pages 1-30, June.
    2. Salvatore F. Pileggi & Robert Amor, 2013. "Addressing Semantic Geographic Information Systems," Future Internet, MDPI, vol. 5(4), pages 1-6, November.
    3. Stella Markantonatou & Katerina Toraki & Panagiotis Minos & Anna Vacalopoulou & Vivian Stamou & George Pavlidis, 2021. "AMAΛΘΕΙA: A Dish-Driven Ontology in the Food Domain," Data, MDPI, vol. 6(4), pages 1-30, April.
    4. Charalampos A. Dimoulas & Andreas Veglis, 2023. "Theory and Applications of Web 3.0 in the Media Sector," Future Internet, MDPI, vol. 15(5), pages 1-10, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xuan Yang & Xiao Li & Daning Hu & Harry Jiannan Wang, 2021. "Differential impacts of social influence on initial and sustained participation in open source software projects," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(9), pages 1133-1147, September.
    2. Langley, David J. & Hoeve, Maarten C. & Ortt, J. Roland & Pals, Nico & van der Vecht, Bob, 2014. "Patterns of Herding and their Occurrence in an Online Setting," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 16-25.
    3. Li, Xin & Xie, Qianqian & Jiang, Jiaojiao & Zhou, Yuan & Huang, Lucheng, 2019. "Identifying and monitoring the development trends of emerging technologies using patent analysis and Twitter data mining: The case of perovskite solar cell technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 687-705.
    4. Shu-Hsun Ho & Yu-Ling Lin & Robert Carlson Patrick, 2015. "Participant Motivations In A Social Media Community Page," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 9(4), pages 67-75.
    5. Greyling, Talita & Rossouw, Stephanie & Adhikari, Tamanna, 2020. "Happiness-lost: Did Governments make the right decisions to combat Covid-19?," GLO Discussion Paper Series 556, Global Labor Organization (GLO).
    6. Pablo Gomez‐Carrasco & Giovanna Michelon, 2017. "The Power of Stakeholders' Voice: The Effects of Social Media Activism on Stock Markets," Business Strategy and the Environment, Wiley Blackwell, vol. 26(6), pages 855-872, September.
    7. Ko, J. & Kwon, H.W. & Kim, H.S. & Lee, K. & Choi, M.Y., 2014. "Model for Twitter dynamics: Public attention and time series of tweeting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 404(C), pages 142-149.
    8. Thomas T. Hills & Eugenio Proto & Daniel Sgroi & Chanuki Illushka Seresinhe, 2019. "Historical analysis of national subjective wellbeing using millions of digitized books," Nature Human Behaviour, Nature, vol. 3(12), pages 1271-1275, December.
    9. Alberto Lopez & Eva Guerra & Beatriz Gonzalez & Sergio Madero, 2020. "Consumer sentiments toward brands: the interaction effect between brand personality and sentiments on electronic word of mouth," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(4), pages 203-223, December.
    10. Rajković, Borislav & Đurić, Ivan & Zarić, Vlade & Glauben, Thomas, 2021. "Gaining trust in the digital age: The potential of social media for increasing the competitiveness of small and medium enterprises," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(4).
    11. Krishen, Anjala S. & Dwivedi, Yogesh K. & Bindu, N. & Kumar, K. Satheesh, 2021. "A broad overview of interactive digital marketing: A bibliometric network analysis," Journal of Business Research, Elsevier, vol. 131(C), pages 183-195.
    12. Tatiana David-Negre & Arminda Almedida-Santana & Juan M. Hernández & Sergio Moreno-Gil, 2018. "Understanding European tourists’ use of e-tourism platforms. Analysis of networks," Information Technology & Tourism, Springer, vol. 20(1), pages 131-152, December.
    13. Greyling, Talita & Rossouw, Stephanié, 2024. "Development and validation of a real-time happiness index using Google TrendsTM," GLO Discussion Paper Series 1493, Global Labor Organization (GLO).
    14. Choi-Meng Leong & Alexa Min-Wei Loi & Steve Woon, 2022. "The influence of social media eWOM information on purchase intention," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(2), pages 145-157, June.
    15. Budzinski, Oliver & Gaenssle, Sophia, 2018. "The economics of social media stars: An empirical investigation of stardom, popularity, and success on YouTube," Ilmenau Economics Discussion Papers 112, Ilmenau University of Technology, Institute of Economics.
    16. Claussen, Jörg & Engelstätter, Benjamin & Ward, Michael R., 2014. "Susceptibility and influence in social media word-of-mouth," ZEW Discussion Papers 14-129, ZEW - Leibniz Centre for European Economic Research.
    17. Syed Sardar Muhammad & Bidit Lal Dey & Vishanth Weerakkody, 2018. "Analysis of Factors that Influence Customers’ Willingness to Leave Big Data Digital Footprints on Social Media: A Systematic Review of Literature," Information Systems Frontiers, Springer, vol. 20(3), pages 559-576, June.
    18. Martin Quinn & Theodore Lynn & Stephen Jollands & Binesh Nair, 2016. "Domestic Water Charges in Ireland - Issues and Challenges Conveyed through Social Media," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3577-3591, August.
    19. Duan, Huijue Kelly & Vasarhelyi, Miklos A. & Codesso, Mauricio & Alzamil, Zamil, 2023. "Enhancing the government accounting information systems using social media information: An application of text mining and machine learning," International Journal of Accounting Information Systems, Elsevier, vol. 48(C).
    20. Kristoufek, Ladislav, 2018. "Does solar activity affect human happiness?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 47-53.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:4:y:2012:i:3:p:852-864:d:20242. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.