- From: Marcos Caceres <w3c@marcosc.com>
- Date: Tue, 5 Aug 2014 18:16:01 -0400
- To: "www-tag@w3.org" <www-tag@w3.org>, Adam Sobieski <adamsobieski@hotmail.com>
Can you please just provide a short summary of what you are missing from the Web platform? Or exactly what your goals are. Flooding the TAG list with RDF and citations is not helping make a case for what you need. -- Marcos Caceres On August 5, 2014 at 6:11:45 PM, Adam Sobieski (adamsobieski@hotmail.com) wrote: > W3C Technical Architecture Group, > > > The aforementioned examples indicate relational algebra on trees, routing queries > across an API to components which can process such queries utilizing student data, outputting > content back across the API into document object models. The solutions described also > process events (see also: http://www.w3.org/TR/DOM-Level-3-Events/), sequences > of such events and event data, occurring in document contexts, of use to updating student > models. > > > The aforementioned 2013 Huebner article and other EDM survey publications: > > > Huebner, Richard A. "A survey of educational data-mining research." Res. High. Educ. > J 19 (2013): 1-13. > > > Romero, Cristóbal, and Sebastian Ventura. "Educational data mining: A survey from > 1995 to 2005." Expert systems with applications 33, no. 1 (2007): 135-146. > > > Baker, Ryan SJD, and Kalina Yacef. "The state of educational data mining in 2009: A review > and future visions." JEDM-Journal of Educational Data Mining 1, no. 1 (2009): 3-17. > > > Romero, Cristóbal, and Sebastián Ventura. "Educational data mining: a review of the > state of the art." Systems, Man, and Cybernetics, Part C: Applications and Reviews, > IEEE Transactions on 40, no. 6 (2010): 601-618. > > > EDM publications are available at: > > > http://educationaldatamining.org/EDM2014/index.php?page=proceedings > https://sites.google.com/a/iis.memphis.edu/edm-2013-conference/proceeding > http://educationaldatamining.org/EDM2012/index.php?page=proceedings > http://educationaldatamining.org/EDM2011/proceedings-2 > http://educationaldatamining.org/EDM2010/?page_id=278 > http://www.educationaldatamining.org/EDM2009/index.php?page=proceedings > http://www.educationaldatamining.org/EDM2008/index.php?page=proceedings > (http://www.educationaldatamining.org/IEDMS/events) > > > The local storage and local computing hypothesis intends to provide the advantages > of EDM science, such as textbook personalization, while providing students data privacy > as per local components, locally-stored data and browser interoperabilities, JavaScript > API and document markup processing models, for enhancing digital textbook functionality. > Scientists are optimistic about graphics card hardware in tablet and laptop computers > as digital textbooks increase in popularity for interactive 3D graphical diagrams > and GPGPU computing. > > > Another example, indicated for scalability, more technically advanced than selecting > or picking from options or sorting options utilizing student models, adjusting digital > textbook layout, style or content based upon student data, is the natural language generation > of semantics. > > > Example 4: Generating natural language for individual users, utilizing semantic data > in document contexts. > > > > > > ... > > > > > Bouayad-Agha, N., G. Casamayor, and L. Wanner. "Natural language generation and semantic > web technologies." Semantic Web Journal (2012). > > > Mellish, Chris, and Xiantang Sun. "The semantic web as a Linguistic resource: Opportunities > for natural language generation." Knowledge-Based Systems 19, no. 5 (2006): 298-303. > > > Sun, Xiantang, and Chris Mellish. "Domain independent sentence generation from RDF > representations for the Semantic Web." In Combined Workshop on Language-Enabled Educational > Technology and Development and Evaluation of Robust Spoken Dialogue Systems, European > Conference on AI, Riva del Garda, Italy. 2006. > > > > > Kind regards, > > > Adam Sobieski > > >
Received on Tuesday, 5 August 2014 22:16:31 UTC