Annotating atomic components of papers in digital libraries: The semantic and social web heading towards a living document supporting esciences

2Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Rather than a document that is being constantly re-written as in the wiki approach, the Living Document (LD) is one that acts as a document router, operating by means of structured and organized social tagging and existing ontologies. It offers an environment where users can manage papers and related information, share their knowledge with their peers and discover hidden associations among the shared knowledge. The LD builds upon both the Semantic Web, which values the integration of well-structured data, and the Social Web, which aims to facilitate interaction amongst people by means of user-generated content. In this vein, the LD is similar to a social networking system, with users as central nodes in the network, with the difference that interaction is focused on papers rather than people. Papers, with their ability to represent research interests, expertise, affiliations, and links to web based tools and databanks, represent a central axis for interaction amongst users. To begin to show the potential of this vision, we have implemented a novel web prototype that enables researchers to accomplish three activities central to the Semantic Web vision: organizing, sharing and discovering. Availability: http://www.scientifik.info/ © 2009 Springer Berlin Heidelberg.

Cite

CITATION STYLE

APA

García Castro, A., García-Castro, L. J., Labarga, A., Giraldo, O., Montaña, C., O’Neil, K., & Bateman, J. A. (2009). Annotating atomic components of papers in digital libraries: The semantic and social web heading towards a living document supporting esciences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5690 LNCS, pp. 287–301). https://doi.org/10.1007/978-3-642-03573-9_24

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free