Hypertext

Submitted by eac1g09 on Tue, 11/14/2017 - 16:07

Hypertext is an example of a language used to create the World Wide Web.

Description provided Mark Anderson:

"Hypertext is one of the formative concepts of the Web - interlinked resources (although it predates the web). As more data lives only in digital form on the Web or local/private Web-like networks consideration needs to be given to how knowledge is managed in such contexts, especially those subject to change/evolution in content and/or context. We need to investigate the tools and skills needed for this task."

Why is this area interesting and relevant to Web Science?

"In the early web, just putting content online was a challenge and much of the (conceptual) richness of hypertext could not be supported for technical reasons.  We now have significant knowledge resources online and with improvements in technology we need to understand the management of (the content of) hypertexts and emergent issues new to this medium (compared to paper)."

Subject related keywords:

Hypertext, Linking, Transclusion, Knowledge Management, Curation

Additional Useful Links/Publications:

  • [WebSci2009] Halpin, Harry - Social Meaning on the Web: From Wittgenstein To Search Engines.
  • [WebSci2016] Paolo Boldi, Corrado Monti - LlamaFur: learning latent category matrix to find unexpected relations in Wikipedia
  • [WebSci2016] Gerhard Gossen, Elena Demidova, Thomas Risse - Analyzing web archives through topic and event focused sub-collections
  • [WebSci2014] Gemma Fitzsimmons, Mark J. Weal, Denis Drieghe - Skim reading: an adaptive strategy for reading on the web
  • [WebSci2015] Alexey Tikhonov, Liudmila Ostroumova Prokhorenkova, Arseniy Chelnokov, Ivan Bogatyy, Gleb Gusev - What can be Found on the Web and How: A Characterization of Web Browsing Patterns
  • [WebSci2012] Jaimie Y. Park, Chin-Wan Chung - When Daily Deal Services Meet Twitter: Understanding Twitter as a Daily Deal Marketing Platform
  • [WebSci2012] Daniele Quercia, Harry Askham, Jon Crowcroft - TweetLDA: Supervised Topic Classification and Link Prediction in Twitter
  • [WebSci2012] Thanh Tran, Yongtao Ma, Gong Cheng - Pay-less Entity Consolidation – Exploiting Entity Search User Feedbacks for Pay-as-you-go Entity Data Integration
  • [WebSci2013] Markel Vigo, Simon Harper - Considering People with Disabilities as ¨ Uberusers for Eliciting Generalisable Coping Strategies on the Web
  • [WebSci2013] Robert Sanderson, Paolo Ciccarese, Herbert Van de Sompel - Designing the W3C Open Annotation Data Model
  • [WebSci2013] Gemma Fitzsimmons, Mark Weal, Denis Drieghe - On Measuring the Impact of Hyperlinks on Reading
  • [WebSci2011] Mark Bernstein - Flocks, Herds, and Stories: temporal coherence and the long tail.