Journal ArticleDOI
Searching for information in a hypertext medical handbook
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TLDR
Implementing a popular medical handbook in hypertext underscores the need to study hypertext in the context of full-text document retrieval, machine learning, and user interface issues.Abstract:
Medicine is an ideal domain for hypertext applications and research. Implementing a popular medical handbook in hypertext underscores the need to study hypertext in the context of full-text document retrieval, machine learning, and user interface issues.read more
Citations
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Journal ArticleDOI
Learning Strategies for Unstructured Hypermedia—A Framework for Theory, Research, and Practice
TL;DR: This article presents a review of major strategies for learning and information retrieval useful for learners and users in coping with typical problems in unstructured hypermedia, and three global types of strategies concerning goal attainment, spatial orientation, and knowledge acquisition are distinguished.
Webcrawler: finding what people want
TL;DR: WebCrawler: Finding What People Want as discussed by the authors is a web crawler for finding what people want. But it is not a search engine for classified information, it is a collection of
Book ChapterDOI
An Overview of Hypertext
TL;DR: In the late eighties, the first generation of hypertext systems started to become widely available and have been a topic of great attention from the information retrieval research community as potential tools to be used to implement new information retrieval ideas and capabilities.
Journal ArticleDOI
Retrieval effectiveness on the web
Jacques Savoy,Justin Picard +1 more
TL;DR: This paper will evaluate whether or not hyperlinks may serve as useful sources of evidence in improving retrieval algorithms and describe and evaluate different preprocessing techniques that might be implemented in order to improve retrieval effectiveness.
Journal ArticleDOI
Bayesian inference networks and spreading activation in hypertext systems
TL;DR: This paper describes an alternative based on a Bayesian network that structures the indexing terms and stores the user's information needs and using a constrained spreading activation uses link semantics to search relevant starting points for browsing.
References
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Book
Introduction to Modern Information Retrieval
Gerard Salton,Michael J. McGill +1 more
TL;DR: Reading is a need and a hobby at once and this condition is the on that will make you feel that you must read.
Book
As We May Think
TL;DR: As the Director of the Office of Scientific Research and Development, Dr. Vannevar Bush has coordinated the activities of some six thousand leading American scientists in the application of science to warfare as mentioned in this paper.
Journal ArticleDOI
Fusion, propagation, and structuring in belief networks
TL;DR: It is shown that if the network is singly connected (e.g. tree-structured), then probabilities can be updated by local propagation in an isomorphic network of parallel and autonomous processors and that the impact of new information can be imparted to all propositions in time proportional to the longest path in the network.
Journal ArticleDOI
Information needs in office practice: are they being met?
TL;DR: The self-reported information needs of 47 physicians during a half day of typical office practice were studied, and physicians raised 269 questions about patient management, related to all medical specialties and were highly specific to the individual patient's problem.
Journal ArticleDOI
Connectionist expert systems
TL;DR: Connectionist networks can be used as expert system knowledge bases and can be constructed from training examples by machine learning techniques, giving a way to automate the generation of expert systems for classification problems.