-
Carmel, E.; Crawford, S.; Chen, H.: Browsing in hypertext : a cognitive study (1992)
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- Abstract
- With the growth of hypertext and multimedia applications that support and encourage browsing it is time to take a penetrating look at browsing behaviour. Several dimensions of browsing are exemined, to find out: first, what is browsing and what cognitive processes are associated with it: second, is there a browsing strategy, and if so, are there any differences between how subject-area experts and novices browse; and finally, how can this knowledge be applied to improve the design of hypertext systems. Two groups of students, subject-area experts and novices, were studied while browsing a Macintosh HyperCard application on the subject The Vietnam War. A protocol analysis technique was used to gather and analyze data. Components of the GOMS model were used to describe the goals, operators, methods, and selection rules observed: Three browsing strategies were identified: (1) search-oriented browse, scanning and and reviewing information relevant to a fixed task; (2) review-browse, scanning and reviewing intersting information in the presence of transient browse goals that represent changing tasks, and (3) scan-browse, scanning for interesting information (without review). Most subjects primarily used review-browse interspersed with search-oriented browse. Within this strategy, comparisons between subject-area experts and novices revealed differences in tactics: experts browsed in more depth, seldom used referential links, selected different kinds of topics, and viewed information differently thatn did novices. Based on these findings, suggestions are made to hypertext developers
- Source
- IEEE transactions on systems, man and cybernetics. 22(1992) no.5, S.865-884
-
Chen, H.; Ng, T.: ¬An algorithmic approach to concept exploration in a large knowledge network (automatic thesaurus consultation) : symbolic branch-and-bound search versus connectionist Hopfield Net Activation (1995)
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- Abstract
- Presents a framework for knowledge discovery and concept exploration. In order to enhance the concept exploration capability of knowledge based systems and to alleviate the limitation of the manual browsing approach, develops 2 spreading activation based algorithms for concept exploration in large, heterogeneous networks of concepts (eg multiple thesauri). One algorithm, which is based on the symbolic AI paradigma, performs a conventional branch-and-bound search on a semantic net representation to identify other highly relevant concepts (a serial, optimal search process). The 2nd algorithm, which is absed on the neural network approach, executes the Hopfield net parallel relaxation and convergence process to identify 'convergent' concepts for some initial queries (a parallel, heuristic search process). Tests these 2 algorithms on a large text-based knowledge network of about 13.000 nodes (terms) and 80.000 directed links in the area of computing technologies
- Source
- Journal of the American Society for Information Science. 46(1995) no.5, S.348-369
-
Leroy, G.; Chen, H.: Genescene: an ontology-enhanced integration of linguistic and co-occurrence based relations in biomedical texts (2005)
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- Date
- 22. 7.2006 14:26:01
- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.5, S.457-468
-
Vishwanath, A.; Chen, H.: Personal communication technologies as an extension of the self : a cross-cultural comparison of people's associations with technology and their symbolic proximity with others (2008)
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- Date
- 8.11.2008 17:26:34
- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.11, S.1761-1775
-
Zhu, B.; Chen, H.: Information visualization (2004)
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- Abstract
- Visualization can be classified as scientific visualization, software visualization, or information visualization. Although the data differ, the underlying techniques have much in common. They use the same elements (visual cues) and follow the same rules of combining visual cues to deliver patterns. They all involve understanding human perception (Encarnacao, Foley, Bryson, & Feiner, 1994) and require domain knowledge (Tufte, 1990). Because most decisions are based an unstructured information, such as text documents, Web pages, or e-mail messages, this chapter focuses an the visualization of unstructured textual documents. The chapter reviews information visualization techniques developed over the last decade and examines how they have been applied in different domains. The first section provides the background by describing visualization history and giving overviews of scientific, software, and information visualization as well as the perceptual aspects of visualization. The next section assesses important visualization techniques that convert abstract information into visual objects and facilitate navigation through displays an a computer screen. It also explores information analysis algorithms that can be applied to identify or extract salient visualizable structures from collections of information. Information visualization systems that integrate different types of technologies to address problems in different domains are then surveyed; and we move an to a survey and critique of visualization system evaluation studies. The chapter concludes with a summary and identification of future research directions.
-
Chung, W.; Chen, H.: Browsing the underdeveloped Web : an experiment on the Arabic Medical Web Directory (2009)
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- Date
- 22. 3.2009 17:57:50
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.595-607
-
Zheng, R.; Li, J.; Chen, H.; Huang, Z.: ¬A framework for authorship identification of online messages : writing-style features and classification techniques (2006)
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- Date
- 22. 7.2006 16:14:37
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.3, S.378-393
-
Hu, D.; Kaza, S.; Chen, H.: Identifying significant facilitators of dark network evolution (2009)
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- Date
- 22. 3.2009 18:50:30
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.655-665
-
Chen, H.: Machine learning for information retrieval : neural networks, symbolic learning, and genetic algorithms (1994)
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- Source
- Journal of the American Society for Information Science. 46(1995) no.3, S.194-216
-
Ramsey, M.C.; Chen, H.; Zhu, B.; Schatz, B.R.: ¬A collection of visual thesauri for browsing large collections of geographic images (1999)
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- Source
- Journal of the American Society for Information Science. 50(1999) no.9, S.826-834
-
Orwig, R.E.; Chen, H.; Nunamaker, J.F.: ¬A graphical, self-organizing approach to classifying electronic meeting output (1997)
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- Source
- Journal of the American Society for Information Science. 48(1997) no.2, S.157-170
-
Chen, H.: ¬An analysis of image queries in the field of art history (2001)
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- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.3, S.260-273
-
Schumaker, R.P.; Chen, H.: Evaluating a news-aware quantitative trader : the effect of momentum and contrarian stock selection strategies (2008)
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- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.2, S.247-255
-
Dumais, S.; Chen, H.: Hierarchical classification of Web content (2000)
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- Source
- Proceedings of ACM SIGIR 23rd International Conference on Research and Development in Information Retrieval. Ed. by N.J. Belkin, P. Ingwersen u. M.K. Leong
-
Chen, H.; Shankaranarayanan, G.; She, L.: ¬A machine learning approach to inductive query by examples : an experiment using relevance feedback, ID3, genetic algorithms, and simulated annealing (1998)
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- Source
- Journal of the American Society for Information Science. 49(1998) no.8, S.693-705
-
Zhu, B.; Chen, H.: Validating a geographical image retrieval system (2000)
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- Source
- Journal of the American Society for Information Science. 51(2000) no.7, S.625-634
-
Chen, H.; Martinez, J.; Kirchhoff, A.; Ng, T.D.; Schatz, B.R.: Alleviating search uncertainty through concept associations : automatic indexing, co-occurence analysis, and parallel computing (1998)
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