%Original file available from http://www.cs.odu.edu/~jbollen/bibliographies/bibtex/HT_au.bib %Last update: Saturday 18 January 2003 %Current number of entries: 17 @ARTICLE{texthy:drakos1994, title = {From text to hypertext: A post-hoc rationalisation of LaTeX2HTML}, author = {Nikos Drakos}, journal = {Computer Networks and ISDN Systems}, volume = 27, number = 2, year = 1994, pages = {215--224}, } @ARTICLE{hyperm:ginige1995, title = {Hypermedia authoring}, author = {A. Ginige and D. B. Lowe and J. Robertson}, journal = {IEEE Multimedia}, volume = 2, number = 4, year = 1995, pages = {24--35}, } @ARTICLE{scenar:lee1999, author = {Heeseok Lee and Choongseok Lee and Cheonsoo Yoo}, title = {A scenario-based object-oriented hypermedia design methodology}, journal = {Information and Management}, volume = 36, number = 3, year = 1999, pages = {121--138}, } @ARTICLE{inform:brauer1991, author = {J. Brauer and J. Stuchly}, title = {An information management system for engineering design based on hypertext}, journal = {Computer-Aided Engineering Journal}, volume = 8, number = 5, year = 1991, pages = {189--193}, } @ARTICLE{casest:crestani1998, title = {A case study of automatic authoring: From a textbook to a hyper-textbook}, author = {Fabio Crestani and Massimo Melucci}, year = 1998, journal = {Data and Knowledge Engineering}, volume = 27, number = 1, pages = {1--30}, } @ARTICLE{buildi:green1999, title = {Building hypertext links by computing semantic similarity}, author = {S. J. Green}, year = 1999, journal = {IEEE Transactions on Knowledge and Data Engineering}, volume = 11, number = 5, pages = {713--730}, } @ARTICLE{automa:thistlewaite1997, author = {Paul Thistlewaite}, title = {Automatic construction and management of large open webs}, journal = {Information Processing and Management}, volume = {33}, issue = {2}, pages = {161--173}, year = 1997, } @INPROCEEDINGS{automa:allan96, author = {James Allan}, month = {March}, year = 1996, title = {Automatic Hypertext Link Typing}, booktitle = {Proceedings for the Hypertext '96 Conference}, pages = {42-52}, publisher = {{ACM}}, address = {Washington, DC, USA} } @INCOLLECTION{semant:jonassen1990, author = {D.H. Jonassen}, editor = {R. McAleese and C. Green}, year = 1990, title = {Semantic Network Elicitation: Tools for structuring of Hypertext}, booktitle = {Hypertext: The State of the Art}, publisher = {Intellect}, address = {London} } @INPROCEEDINGS{fluidl:zellweger1998, author = {Polle T. Zellweger and Bay-Wei Chang and Jock D. Mackinlay}, title = {Fluid Links for informed and Incremental Link Transitions}, year = 1998, booktitle = {Hypertext 98}, pages = {50--57}, publisher = {ACM}, address = {Pittsburgh, PA}, abstract = {System that generates a small in-text preview of the document a hyperlink is pointing to. An animation inserts the information on a link in between the link and the remainder of the text} } @ARTICLE{automa:green1998, author = {Stephen J. Green}, year = 1997, title = {Automated link generation: can we do better than term repetition?}, journal = {Computer Networks and ISDN Systems}, volume = 30, pages = {75--84}, abstract = {Most current automated hypertext generation systems rely on term repetition to calculate the relatedness of two documents. There are well-recognized problems with such approaches, most notably, they are vulnerable to the linguistic effects of synonymy (many words for the same concept) and polysemy (many concepts for the same word). I propose a novel method for automatic hypertext generation that is based on a technique called lexical chaining, a method for discovering sets of related words in a text. I will also present the results from an empirical study designed to test this method in the content of a question answering task from a database of newspaper articles} } @ARTICLE{indexb:hartman1997, title = {Index-based hyperlinks}, author = {John H. Hartman, Todd A. Porebsting and Rajesh Sundaram}, year = 1997, pages = {1129--1135}, volume = 29, number = {8--13}, journal = {Computer Networks and ISDN Systems}, } @ARTICLE{userev:tebutt1999, author = {John Tebutt}, title = {User evaluation of automatically generated semantic hypertext links in a heavily used procedural manual}, year = {1999}, journal = {Information Processing and Management}, volume = {35}, pages = {1--18}, publisher = {Pergamon}, } @ARTICLE{buildi:allan1997, author = {James Allan}, year = 1997, title = {Building Hypertext Using Information Retrieval}, journal = {Information Processing and Management}, volume = 33, number = 2, pages = {145-159} } @ARTICLE{useinf:agosti1997, author = {Maristalla Agosti and Fabio Crestani and Massimo Melucci}, year = 1997, title = {On the Use of Information Retrieval Techniques for the Automatic Construction of Hypertext}, journal = {Information Processing and Management}, volume = 33, number = 2, pages = {133-144} } @ARTICLE{method:blustein1997, author = {James Blustein and Robert E. Webber and Jean {Tague-Sutcliffe}}, title = {Methods for evaluating the quality of hypertext links}, journal = {Information Processing and Management}, volume = 33, number = 2, year = 1997, pages = {255--271}, } @INPROCEEDINGS{struct:lokuge1996, author = {Ishantha Lokuge and Stephen A. Gilbert and Whitman Richards}, title = {Structuring Information with Mental Models: a Tour of Boston}, year = 1996, month = {April}, booktitle = {Conference {P}roceedings on {H}uman {F}actors in {C}omputing {S}ystems}, pages = {413--419}, publisher = {ACM}, address = {Vancouver, Canada}, URL = {http://www.acm.org/pubs/articles/proceedings/chi/238386/p413-lokuge/p413-lokuge.html}, abstract = {We present a new systematic method of structuring information using mental models. This method can be used both to evaluate the efficiency of an information structure and to build user-centered information structures. In this paper we present the method using Boston tourist attractions as an example domain. We describe several interfaces that take advantage of our mental models with an activation spreading network. Multidimensional Scaling and Trajectory Mapping are used to build our mental models. Because of the robustness of the technique, it is easy to compare individual difference in mental models and to customize interfaces for individual models.}, } @ARTICLE{losthy:otter2000, author = {M. Otter and Johnson, H.1}, title = {Lost in hyperspace: metrics and mental models}, year = 2000, journal = {Interacting with Computers}, volume = {13}, number = 1, pages = {1 -- 40}, month = {November}, abstract = { Being disorientated or lost is one of the fundamental difficulties which users experience when trying to navigate within hypertext systems. In this paper, two new metrics of lostness are described and applied. The new metrics focus on the effects of link-type and the accuracy of user's mental models of system structure. In a series of studies, the new metrics were compared with the only other published metric of lostness, the optimal path deviation measure formulated by Smith [P.A. Smith, Towards a practical measure of hypertext usability, Interacting with Computers 4 (1996) 365-381], and with other measures including self-report estimates and task times. The results tentatively suggest that some types of hyperlink have a greater impact on lostness than others. The accuracy of the subjects' mental models did not correlate significantly with other measures of lostness, however this may have been due to task demands. Based on these findings, suggestions are made for the design of more effective hypertext systems that minimise lostness, and a new approach to designing such systems, based on the mental models of users, is put forward.}, }