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Titlebook: Knowledge Discovery in Life Science Literature; International Worksh Eric G. Bremer,J?rg Hakenberg,Werner Dubitzky Conference proceedings 2

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發(fā)表于 2025-3-21 18:35:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Knowledge Discovery in Life Science Literature
副標(biāo)題International Worksh
編輯Eric G. Bremer,J?rg Hakenberg,Werner Dubitzky
視頻videohttp://file.papertrans.cn/544/543878/543878.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Knowledge Discovery in Life Science Literature; International Worksh Eric G. Bremer,J?rg Hakenberg,Werner Dubitzky Conference proceedings 2
出版日期Conference proceedings 2006
關(guān)鍵詞algorithms; bioinformatics; biomedical data analysis; biomedical informatics; classification; cognition; d
版次1
doihttps://doi.org/10.1007/11683568
isbn_softcover978-3-540-32809-4
isbn_ebook978-3-540-32810-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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發(fā)表于 2025-3-21 22:28:28 | 只看該作者
Alignment of Biomedical Ontologies Using Life Science Literature, algorithm as well as extensions that take the structure of the ontologies into account. We evaluate the strategies and compare them with strategies implemented in the alignment system SAMBO. We also evaluate the combination of the proposed strategies and the SAMBO strategies.
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Detecting Invalid Dictionary Entries for Biomedical Text Mining,iants based on the information from external resources and use this dictionary for the term aggregation. However, in this automatically generated dictionary, there are many invalid entries that have negative effects on the calculations of keyword frequencies. In this paper, we propose and test methods to detect invalid entries in the dictionary.
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發(fā)表于 2025-3-22 18:48:54 | 只看該作者
Improving Literature Preselection by Searching for Images,s in a search engine, allowing easy and quick quality assessment without having to read through the whole paper. The images are found by their annotation in the paper: the figure caption. To identify that, we analyse the layout of the paper: the position of the image and the surrounding text.
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發(fā)表于 2025-3-22 21:35:57 | 只看該作者
A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature,tor machine classifier is combined with the tree kernel and trained on predefined interaction corpus and set of interaction patterns. Experimental results show that the proposed method gives promising results by utilizing the structure patterns.
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