LEADER 06465nam 22008175 450 001 996466285603316 005 20231114232339.0 010 $a1-280-38833-1 010 $a9786613566256 010 $a3-642-15120-5 024 7 $a10.1007/978-3-642-15120-0 035 $a(CKB)2670000000036379 035 $a(SSID)ssj0000446405 035 $a(PQKBManifestationID)11318124 035 $a(PQKBTitleCode)TC0000446405 035 $a(PQKBWorkID)10491628 035 $a(PQKB)11459701 035 $a(DE-He213)978-3-642-15120-0 035 $a(MiAaPQ)EBC3065660 035 $a(PPN)149018266 035 $a(EXLCZ)992670000000036379 100 $a20100819d2010 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aData Integration in the Life Sciences$b[electronic resource] $e7th International Conference, DILS 2010, Gothenburg, Sweden, August 25-27, 2010. Proceedings /$fedited by Patrick Lambrix, Graham Kemp 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (X, 215 p. 82 illus.) 225 1 $aLecture Notes in Bioinformatics ;$v6254 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-15119-1 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThe development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. This foundation of experimental data und- pins the systematic study of organisms and diseases, which increasingly depends on the development of models of biological systems. The development of these models often requires integration of diverse experimental data resources; once constructed, the models themselves become data and present new integration challenges for tasks such as interpretation, validation and comparison. The Data Integration in the Life Sciences (DILS) Conference series brings together data and knowledge management researchers from the computer sequence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identified in the life sciences. DILS 2010 was the seventh event in the series and was held in Goth- burg, Sweden during August 25?27, 2010. The associated proceedings contain 14 peer-reviewed papers and 2 invited papers. The sessions addressed ontology engineering, and in particular, evolution, matching and debugging of ontologies, a key component for semantic integration; Web services as an important technology for data integration in the life sciences; data and text mining techniques for discovering and recognizing biomedical entities and relationships between these entities; and information management, introducing data integration solutions for different types of applications related to cancer, systems biology and - cro array experimental data, and an approach for integrating ranked data in the life sciences. 410 0$aLecture Notes in Bioinformatics ;$v6254 606 $aLife sciences 606 $aComputer engineering 606 $aComputer communication systems 606 $aApplication software 606 $aArtificial intelligence 606 $aInformation storage and retrieval 606 $aLife Sciences, general$3https://scigraph.springernature.com/ontologies/product-market-codes/L00004 606 $aComputer Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I27000 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 607 $aGo?teborg <2010>$2swd 615 0$aLife sciences. 615 0$aComputer engineering. 615 0$aComputer communication systems. 615 0$aApplication software. 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval. 615 14$aLife Sciences, general. 615 24$aComputer Engineering. 615 24$aComputer Communication Networks. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 676 $a570.285 702 $aLambrix$b Patrick$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKemp$b Graham$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aDILS 2010 906 $aBOOK 912 $a996466285603316 996 $aData Integration in the Life Sciences$9772286 997 $aUNISA