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Titlebook: Data Integration in the Life Sciences; 10th International C Helena Galhardas,Erhard Rahm Conference proceedings 2014 Springer International

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發(fā)表于 2025-3-21 17:40:21 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Data Integration in the Life Sciences
副標(biāo)題10th International C
編輯Helena Galhardas,Erhard Rahm
視頻videohttp://file.papertrans.cn/263/262835/262835.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Data Integration in the Life Sciences; 10th International C Helena Galhardas,Erhard Rahm Conference proceedings 2014 Springer International
描述.This book constitutes the refereed proceedings of the 10th International Conference on Data Integration in the Life Sciences, DILS 2014, held in Lisbon, Portugal, in July 2014. The 9 revised full papers and the 5 short papers included in this volume were carefully reviewed and selected from 20 submissions. The papers cover a range of important topics such as data integration platforms and applications; biodiversity data management; ontologies and visualization; linked data and query processing..
出版日期Conference proceedings 2014
關(guān)鍵詞applied computing; biomedical ontologies; data integration; data management systems; health informatics;
版次1
doihttps://doi.org/10.1007/978-3-319-08590-6
isbn_softcover978-3-319-08589-0
isbn_ebook978-3-319-08590-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

書(shū)目名稱(chēng)Data Integration in the Life Sciences影響因子(影響力)




書(shū)目名稱(chēng)Data Integration in the Life Sciences影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Data Integration in the Life Sciences網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Data Integration in the Life Sciences網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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Discovering Relations between Indirectly Connected Biomedical Conceptswo frequent relations, namely ., and .. Our results suggest that relation discovery using indirect knowledge is possible, with an . that can reach up to 0.8. Finally, analysis of the results indicates that the models can successfully learn expressive path patterns for the examined relations.
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ConQuR-Bio: Consensus Ranking with Query Reformulation for Biological Datatrategy. The originality of our approach thus lies in using . techniques within the context of .. The ConQuR-Bio system is able to query the EntrezGene NCBI database. Our experiments demonstrate the benefit of using ConQuR-Bio compared to what is currently provided to users. ConQuR-Bio is available to the bioinformatics community at ..
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Conference proceedings 2014issions. The papers cover a range of important topics such as data integration platforms and applications; biodiversity data management; ontologies and visualization; linked data and query processing..
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0302-9743 om 20 submissions. The papers cover a range of important topics such as data integration platforms and applications; biodiversity data management; ontologies and visualization; linked data and query processing..978-3-319-08589-0978-3-319-08590-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Microservices Architecture and Designt were learned within the last decade of productive research, data generation and software development from the perspective of a modern plant research institute and present the results of a strategic realignment of the data management infrastructure. Finally, we summarise the challenges which were solved and the questions which are still open.
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https://doi.org/10.1007/978-3-319-55483-9ove its further development or apply the knowledge in their applications. Here we present REX (Region Evolution Explorer) a web-based system for exploring the evolution of ontology parts (regions). REX provides an interactive and user-friendly interface to identify (un)stable regions in large life science ontologies and is available at ..
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