Abstract | ||
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As envisioned by its creator, the WorldWideWeb gath- ers billions of users from different communities all over the world. A recent evolution of the Web has been wit- nessed with microformats, which allow authors to seman- tically annotate the contents of Web documents (webpages, blog posts, news articles, RSS feeds, etc.), and enable inter- software interactions by exporting this annotated content to external applications (calendars, address books, etc.). However, Web users still originate from different communi- ties, and thus follow their own local semantics (referred to as context in this paper) for data interpretation and repre- sentation. Hence, there is a need to transform Web content created according to the author's context into the different contexts of its readers. We refer to such transformation pro- cess as personalization. In this paper, we identify users' re- quirements for Web content personalization and we present a solution that takes advantage of microformats in order to enhance users' experience on the Web with contextualized information. We show how microformats offer a great op- portunity to adapt the contents of Web documents to differ- ent users' contexts. |
Year | Venue | Keywords |
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2008 | IWWOST@ICWE | data interpretation |
Field | DocType | Citations |
Web development,Web design,World Wide Web,Web intelligence,Web page,Computer science,Web standards,Semantic Web,Data Web,Web modeling,Multimedia | Conference | 4 |
PageRank | References | Authors |
0.57 | 5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michael Mrissa | 1 | 255 | 29.13 |
Mohanad Al-Jabari | 2 | 6 | 1.62 |
Philippe Thiran | 3 | 575 | 46.19 |