LEADER 04810nam 22007935 450 001 996465597103316 005 20200629202117.0 010 $a1-280-30747-1 010 $a9786610307470 010 $a3-540-24684-3 024 7 $a10.1007/b97859 035 $a(CKB)1000000000212379 035 $a(DE-He213)978-3-540-24684-8 035 $a(SSID)ssj0000161505 035 $a(PQKBManifestationID)11183411 035 $a(PQKBTitleCode)TC0000161505 035 $a(PQKBWorkID)10199262 035 $a(PQKB)11718942 035 $a(MiAaPQ)EBC3087675 035 $a(PPN)155221019 035 $a(EXLCZ)991000000000212379 100 $a20121227d2004 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeneric Model Management$b[electronic resource] $eConcepts and Algorithms /$fby Sergey Melnik 205 $a1st ed. 2004. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004. 215 $a1 online resource (XX, 244 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v2967 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-21980-3 320 $aIncludes bibliographical references. 327 $aA Programming Platform for Model Management -- 1. Introduction -- 2. Conceptual Structures and Operators -- 3. Implementation and Applications -- A Semantics for Model Management Operators -- 4. State-Based Semantics -- 5. Change Propagation Scenario -- 6. State-Based Semantics in Rondo -- Schema Matching -- 7. Similarity Flooding Algorithm -- 8. Filters -- 9. Evaluation and Tuning -- Model Management in Perspective -- 10. Related Work -- 11. Conclusions and Outlook -- A. User Study: Gathering Intended Match Results -- B. Proofs of Simplification Theorems. 330 $aMany challenging problems in information systems engineering involve the manipulation of complex metadata artifacts or models, such as database schema, interface specifications, or object diagrams, and mappings between models. Applications solving metadata manipulation problems are complex and hard to build. The goal of generic model management is to reduce the amount of programming needed to solve such problems by providing a database infrastructure in which a set of high-level algebraic operators are applied to models and mappings as a whole rather than to their individual building blocks. This book presents a systematic study of the concepts and algorithms for generic model management. The first prototype of a generic model management system is described, the algebraic operators are introduced and analyzed, and novel algorithms for implementing them are developed. Using the prototype system and the operators presented, solutions are developed for several practically relevant problems, such as change propagation and reintegration. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v2967 606 $aSoftware engineering 606 $aInformation storage and retrieval 606 $aDatabase management 606 $aArtificial intelligence 606 $aProgramming languages (Electronic computers) 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037 615 0$aSoftware engineering. 615 0$aInformation storage and retrieval. 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 0$aProgramming languages (Electronic computers). 615 14$aSoftware Engineering/Programming and Operating Systems. 615 24$aInformation Storage and Retrieval. 615 24$aDatabase Management. 615 24$aSoftware Engineering. 615 24$aArtificial Intelligence. 615 24$aProgramming Languages, Compilers, Interpreters. 676 $a005.1/1 700 $aMelnik$b Sergey$4aut$4http://id.loc.gov/vocabulary/relators/aut$0600493 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465597103316 996 $aGeneric model management$91023380 997 $aUNISA LEADER 01701nam 2200433 450 001 9910796681603321 005 20171011103052.0 035 $a(CKB)4100000000267567 035 $a(MiAaPQ)EBC5017629 035 $a(DLC) 2017039834 035 $a(EXLCZ)994100000000267567 100 $a20170926h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aDimensions of iconicity /$fedited by Matthias Bauer [and three others] 210 1$aAmsterdam, [Netherlands] ;$aPhiladelphia, [Pennsylvania] :$cJohn Benjamins Publishing Company,$d2017. 210 4$dİ2017 215 $a1 online resource (352 pages) $cillustrations (some color), tables, graphs 225 1 $aIconicity in Language and Literature,$x1873-5037 ;$vVolume 15 300 $aPapers presented at the Symposium on Iconity in Language and Literature, held at Eberhard Karls University of Tu?bingen, between March 26 and 28, 2015. 311 $a90-272-4351-4 311 $a90-272-6518-6 320 $aIncludes bibliographical references at the end of each chapters and indexes. 327 $aIntroduction -- Phonic dimensions -- Cognitive dimensions -- Multimodal dimensions -- Performative dimensions -- New dimensions of iconicity. 410 0$aIconicity in language and literature ;$vVolume 15. 606 $aIconicity (Linguistics)$vCongresses 615 0$aIconicity (Linguistics) 676 $a302.2 702 $aBauer$b Matthias 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910796681603321 996 $aDimensions of iconicity$93784658 997 $aUNINA