Dealing with an Information Overload of Health Science Data: Structured utilisation of libraries, distributed knowledge in databases and web content
被引:0
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作者:
Hoelzer, Simon
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机构:
Univ Giessen, Inst Med Informat, D-35390 Giessen, Germany
H Swiss Hosp Assoc, Bern, SwitzerlandUniv Giessen, Inst Med Informat, D-35390 Giessen, Germany
Hoelzer, Simon
[1
,2
]
Schweiger, Ralf K.
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h-index: 0
机构:
Univ Giessen, Inst Med Informat, D-35390 Giessen, GermanyUniv Giessen, Inst Med Informat, D-35390 Giessen, Germany
Schweiger, Ralf K.
[1
]
Rieger, Joerg
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机构:
Univ Giessen, Inst Med Informat, D-35390 Giessen, GermanyUniv Giessen, Inst Med Informat, D-35390 Giessen, Germany
Rieger, Joerg
[1
]
Meyer, Michael
论文数: 0引用数: 0
h-index: 0
机构:
H Swiss Hosp Assoc, Bern, SwitzerlandUniv Giessen, Inst Med Informat, D-35390 Giessen, Germany
Meyer, Michael
[2
]
机构:
[1] Univ Giessen, Inst Med Informat, D-35390 Giessen, Germany
[2] H Swiss Hosp Assoc, Bern, Switzerland
来源:
UBIQUITY: TECHNOLOGIES FOR BETTER HEALTH IN AGING SOCIETIES
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2006年
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124卷
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中图分类号:
R19 [保健组织与事业(卫生事业管理)];
学科分类号:
摘要:
The organizational structures of web contents and electronic information resources must adapt to the demands of a growing volume of information and user requirements. Otherwise the information society will be threatened by disinformation. The biomedical sciences are especially vulnerable in this regard, since they are strongly oriented toward text-based knowledge sources. Here sustainable improvement can only be achieved by using a comprehensive, integrated approach that not only includes data management but also specifically incorporates the editorial processes, including structuring information sources and publication. The technical resources needed to effectively master these tasks are already available in the form of the data standards and tools of the Semantic Web. They include Rich Site Summaries (RSS), which have become an established means of distributing and syndicating conventional news messages and blogs. They can also provide access to the contents of the previously mentioned information sources, which arc conventionally classified as 'deep web' content.
机构:
German Natl Res Ctr Informat Technol, GMD, Schloss Birlinghoven, D-53754 St Augustin, GermanyGerman Natl Res Ctr Informat Technol, GMD, Schloss Birlinghoven, D-53754 St Augustin, Germany
Löffler, J
2000 IEEE INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION, PROCEEDINGS,
2000,
: 82
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87