Titlebook: Data Integration in the Life Sciences; 12th International C Marcos Da Silveira,Cédric Pruski,Reinhard Schneide Conference proceedings 2017

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Conference proceedings 2017n November 2017. The 5 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions. They cover topics such as: life science data modelling; analysing, indexing, and querying life sciences datasets; annotating, matching, and sharing life sciences d

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Conference proceedings 2017pics such as: life science data modelling; analysing, indexing, and querying life sciences datasets; annotating, matching, and sharing life sciences datasets; privacy and provenance of life sciences datasets..

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0302-9743 selected from 16 submissions. They cover topics such as: life science data modelling; analysing, indexing, and querying life sciences datasets; annotating, matching, and sharing life sciences datasets; privacy and provenance of life sciences datasets..978-3-319-69750-5978-3-319-69751-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Cloud Computing, Big Data & Emerging Topicshemas to support the interoperability across distinct data sources. Second, our work takes advantage of knowledge bases to be linked to clinical data, and exploit these semantic linkages via queries. The paper shows case studies to validate our proposal.

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Marcelo Naiouf,Enzo Rucci,Laura De Giustieas from topic modeling, ontology modeling & matching, bibliometric analysis, and data integration. First evaluation results show that the use of semantic technologies in patent classification can indeed increase the quality of the results.

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Cloud Computing, Big Data & Emerging Topicsxtraction system LASIE that combines techniques from rule-based information extraction, flexible data management, and semantic information management in a user-centered design. We applied the system in a case study with an industrial partner and achieved very satisfying results.

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