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Models for Reader Interaction Systems Daniel Berleant Iowa State University Ames, Iowa 50014 berleant@iastate.edu
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Meta-Science of Reader Interaction Systems: a Useful Topic?
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Some Relevant Previous Works
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Outline from Here
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Ten Models
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The Hypermedia Model
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The Book Model
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The Newspaper Model
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The Citation Model
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The Reuse Model
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The Composition Model
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The Query Model
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The Text Mining Model
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The Directory Model
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The Index Model
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Framework for Organizing Models of Reader Interaction Systems
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Hybrid Systems
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Some Hybrid Systems
Newspaper, Query, and Index: automatically query a search engine nightly. URLs of any documents that are changed, new, or deleted since the previous night are emailed to the subscriber Citation and Hypermedia: references at the end of a scholarly paper could profitably state where in the paper they were cited. Example: see this paper in the CIKM proceedings Directory and Citation: Science Citation Index and Social Science Citation Index are traditional examples; ResearchIndex is on-line, free, and even presented at this CIKM |
REFERENCES
[1] Benest, I.D. A hypertext system with controlled
hype. In McAleese, R. and Green, C. (eds.).
Hypertext: State of the Art. Intellect Books,
Oxford, 1990. (Cited in Sec. 3.2)
[2] Berghel, H., Berleant, D., Foy, T., and McGuire, M.
Cyberbrowsing: Information customization on the Web.
Journal of the American Society for Information
Science (JASIS), 50, 10 (May 1999), 505-511.
(Cited in Sec’s. 2, 3.1, & 4 item 6)
[3] Bollacker, K., Lawrence, S., and Giles, C.L.
CiteSeer: An autonomous Web agent for automatic
retrieval and identification of interesting
publications. In Proceedings of the Second
International ACM Conference on Autonomous Agents,
ACM Press, 1998. (Cited in Sec. 4 item 32)
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Some (More) Hybrid Systems
Directory and Composition: automatically organize the URLs a user visits over time into a heirarchical, personal, annotated directory resource Hypermedia and Composition: support reader annotation of on-line documents Reuse and Text Mining: automatically mine on-line resources for qualifying sentences, and organize the sentences into a multi-level index based on their keyword content Reuse and Composition: Web browsers already allow highlighting of passages in displayed material. A button could be provided that, when clicked, saves and indexes such passages into a repository for later use. Reuse and Composition: augment our multibrowser work with click-to-freeze subwindows Query and Composition: augment a search engine so that users could click on an item in a returned list to retain that item on the screen after they request the next 10 items |
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Protein A Protein B Associates/Associated/etc. Sentence1
Binds/Binding/Bind/etc. SentenceM
Regulates/Regulating/etc.
Protein C Associates/Associated/etc. SentenceY
Binds/Binding/Bind/etc. . . . Protein B Protein D Associates/Associated/etc. Sentence1000 . . . |

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Conclusions
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