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. Smith, Andrew N. & Fischer, Eileen & Yongjian, Chen, 2012. "How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 102-113.
    2. 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.
    3. Bertrand Jayles & Clément Sire & Ralf H J M Kurvers, 2021. "Crowd control: Reducing individual estimation bias by sharing biased social information," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-28, November.
    4. Jalees, Tariq & Tariq, Huma & Zaman, Syed Imran & Alam Kazmi, Syed Hasnain, 2015. "Social Media in Virtual Marketing," MPRA Paper 69868, University Library of Munich, Germany, revised 10 Apr 2015.
    5. 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.
    6. Ines Küster & Asuncion Hernández, 2012. "Brand impact on purchase intention. An approach in social networks channel," Economics and Business Letters, Oviedo University Press, vol. 1(2), pages 1-9.
    7. Aleksandar Bradic, 2012. "The Role of Social Feedback in Financing of Technology Ventures," Papers 1301.2196, arXiv.org.
    8. Lashgari, Maryam, 2014. "Social Media Technology Deployment in B2B: A Case Study," INDEK Working Paper Series 2014/9, Royal Institute of Technology, Department of Industrial Economics and Management.
    9. Xuzhen Zhu & Jinming Ma & Xin Su & Hui Tian & Wei Wang & Shimin Cai, 2019. "Information Spreading on Weighted Multiplex Social Network," Complexity, Hindawi, vol. 2019, pages 1-15, November.
    10. 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.
    11. Moro, Sérgio & Rita, Paulo & Vala, Bernardo, 2016. "Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach," Journal of Business Research, Elsevier, vol. 69(9), pages 3341-3351.
    12. Sun, Jiachen & Feng, Ling & Du, Mingwei & Ma, Xiao & Fan, Zhengping & Gloor, Peter & Hu, Yanqing, 2021. "Ultra-efficient information detection on large-scale online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    13. Kim Holmberg & Mike Thelwall, 2014. "Disciplinary differences in Twitter scholarly communication," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1027-1042, November.
    14. 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.
    15. Mohammed Abdul-Rahman & Wale Alade & Shahnawaz Anwer, 2023. "A Composite Resilience Index (CRI) for Developing Resilience and Sustainability in University Towns," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
    16. 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).
    17. Yang Xiao & Beiqun Li & Zaiwu Gong, 2018. "Real-time identification of urban rainstorm waterlogging disasters based on Weibo big data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(2), pages 833-842, November.
    18. 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.
    19. Charitha Harshani Perera & Rajkishore Nayak & Long Thang Van Nguyen, 2019. "Role of social word-of-mouth on emotional brand attachment and brand choice intention: A study on private educational institutes in Vietnam," Proceedings of Business and Management Conferences 8611115, International Institute of Social and Economic Sciences.
    20. Geoffrey Barbier & Reza Zafarani & Huiji Gao & Gabriel Fung & Huan Liu, 2012. "Maximizing benefits from crowdsourced data," Computational and Mathematical Organization Theory, Springer, vol. 18(3), pages 257-279, September.

    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.