000 05170nam a22005535i 4500
001 u374941
003 SIRSI
005 20160812084259.0
007 cr nn 008mamaa
008 100819s2010 gw | s |||| 0|eng d
020 _a9783642151200
_9978-3-642-15120-0
040 _cMX-MeUAM
050 4 _aQA76.76.A65
082 0 4 _a005.7
_223
100 1 _aLambrix, Patrick.
_eeditor.
245 1 0 _aData Integration in the Life Sciences
_h[recurso electrónico] :
_b7th International Conference, DILS 2010, Gothenburg, Sweden, August 25-27, 2010. Proceedings /
_cedited by Patrick Lambrix, Graham Kemp.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aX, 215p. 82 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6254
505 0 _aInvited Talks -- Provenance Management for Data Exploration -- High-Performance Systems for in Silico Microscopy Imaging Studies -- Ontology Engineering -- Discovering Evolving Regions in Life Science Ontologies -- On Matching Large Life Science Ontologies in Parallel -- A System for Debugging Missing Is-a Structure in Networked Ontologies -- Web Services -- On the Secure Sharing and Aggregation of Data to Support Systems Biology Research -- Helping Biologists Effectively Build Workflows, without Programming -- A Data Warehouse Approach to Semantic Integration of Pseudomonas Data -- Data Mining and Text Mining -- The Cinderella of Biological Data Integration: Addressing Some of the Challenges of Entity and Relationship Mining from Patent Sources -- Algorithm for Grounding Mutation Mentions from Text to Protein Sequences -- Handling Missing Features with Boosting Algorithms for Protein–Protein Interaction Prediction -- Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration -- Information Management -- Integrative Information Management for Systems Biology -- An Integration Architecture Designed to Deal with the Issues of Biological Scope, Scale and Complexity -- Quality Assessment of MAGE-ML Genomic Datasets Using DescribeX -- Search Computing: Integrating Ranked Data in the Life Sciences.
520 _aThe development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. This foundation of experimental data und- pins the systematic study of organismsand diseases, which increasinglydepends on the development of models of biological systems. The development of these models often requires integration of diverse experimental data resources; once constructed, the models themselves become data and present new integration challenges for tasks such as interpretation, validation and comparison. The Data Integration in the Life Sciences (DILS) Conference series brings together data and knowledge management researchers from the computer s- ence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identi?ed in the life sciences. DILS 2010 was the seventh event in the series and was held in Goth- burg, Sweden during August 25–27, 2010. The associated proceedings contain 14 peer-reviewed papers and 2 invited papers. The sessions addressed ontology engineering, and in particular, evolution, matching and debugging of ontologies, akeycomponentforsemanticintegration;Web servicesasanimportanttechn- ogy for data integration in the life sciences; data and text mining techniques for discovering and recognizing biomedical entities and relationships between these entities; and information management, introducing data integration solutions for di?erent types of applications related to cancer, systems biology and - croarray experimental data, and an approach for integrating ranked data in the life sciences.
650 0 _aComputer science.
650 0 _aComputer Communication Networks.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aInformation storage and retrieval systems.
650 0 _aInformation systems.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aInformation Systems Applications (incl.Internet).
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aDatabase Management.
650 2 4 _aComputer Communication Networks.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aKemp, Graham.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642151194
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6254
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-15120-0
596 _a19
942 _cLIBRO_ELEC
999 _c202821
_d202821