Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Adaptive navigation support for open corpus hypermedia systems

Brusilovsky, P (2008) Adaptive navigation support for open corpus hypermedia systems. In: UNSPECIFIED UNSPECIFIED, 6 - 8. ISBN 3540709843, 9783540709848

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Open corpus adaptive hypermedia could be considered one of the major challenges of the adaptive hypermedia community since it can dramatically extend the range of applicability of adaptive hypermedia systems. An open corpus adaptive hypermedia system can be defined in as an "adaptive hypermedia system which operates on an open corpus of documents, e.g., a set of documents that is not known at design time and, moreover, can constantly change and expand" [6]. For the last five years open corpus adaptive hypermedia has been one of the priorities of our research group at the University of Pittsburgh. The goal of this presentation is to discuss the problems of open corpus adaptive hypermedia, review major approaches for developing adaptive navigation support for open corpus AHS system, and report our experience with some of these approaches. © 2008 Springer-Verlag Berlin Heidelberg.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Book Section
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 6 October 2008
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 5149 L
Page Range: 6 - 8
Event Type: Conference
DOI or Unique Handle: 10.1007/978-3-540-70987-9_2
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: No
ISBN: 3540709843, 9783540709848
ISSN: 0302-9743
Date Deposited: 25 Apr 2012 17:35
Last Modified: 01 Aug 2020 10:55
URI: http://d-scholarship.pitt.edu/id/eprint/11933

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item