An active visual search interface for Medline
| Autor: | Justin Wilson, Manhong Dai, Weijian Xuan, Barbara Mirel, Brian D. Athey, Fan Meng, Stanley J. Watson |
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| Rok vydání: | 2007 |
| Předmět: |
Visual search
Information retrieval business.industry Computer science Interface (Java) Abstracting and Indexing MEDLINE Sorting Information Storage and Retrieval World Wide Web Medical Subject Headings User-Computer Interface Artificial Intelligence Computer Graphics FLEX Web application Database Management Systems business Throughput (business) Interactive visualization Natural Language Processing |
| Zdroj: | Computational systems bioinformatics. Computational Systems Bioinformatics Conference. 6 |
| ISSN: | 1752-7791 |
| Popis: | Searching the Medline database is almost a daily necessity for many biomedical researchers. However, available Medline search solutions are mainly designed for the quick retrieval of a small set of most relevant documents. Because of this search model, they are not suitable for the large-scale exploration of literature and the underlying biomedical conceptual relationships, which are common tasks in the age of high throughput experimental data analysis and cross-discipline research. We try to develop a new Medline exploration approach by incorporating interactive visualization together with powerful grouping, summary, sorting and active external content retrieval functions. Our solution, PubViz, is based on the FLEX platform designed for interactive web applications and its prototype is publicly available at: http://brainarray.mbni.med.umich.edu/Brainarray/DataMining/PubViz. |
| Databáze: | OpenAIRE |
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