LEADER 02790oam 2200733 a 450 001 9910777834503321 005 20190503073348.0 010 $a0-262-26106-5 010 $a0-262-28208-9 010 $a1-282-09697-4 010 $a9786612096976 010 $a1-4294-6566-2 035 $a(CKB)1000000000472555 035 $a(SSID)ssj0000136249 035 $a(PQKBManifestationID)11139179 035 $a(PQKBTitleCode)TC0000136249 035 $a(PQKBWorkID)10081687 035 $a(PQKB)10671963 035 $a(SSID)ssj0000517794 035 $a(PQKBManifestationID)12230844 035 $a(PQKBTitleCode)TC0000517794 035 $a(PQKBWorkID)10488038 035 $a(PQKB)11187518 035 $a(OCoLC)320323502$z(OCoLC)123178153$z(OCoLC)647684276$z(OCoLC)648223127$z(OCoLC)703899427$z(OCoLC)722563954$z(OCoLC)728040025$z(OCoLC)815776354$z(OCoLC)961575275$z(OCoLC)962612193$z(OCoLC)988501435$z(OCoLC)992066496$z(OCoLC)992108378$z(OCoLC)1029047981$z(OCoLC)1058449420$z(OCoLC)1066445186$z(OCoLC)1081265577$z(OCoLC)1083614011 035 $a(OCoLC-P)320323502 035 $a(MaCbMITP)2322 035 $a(MiAaPQ)EBC3338485 035 $a(PPN)170264211 035 $a(EXLCZ)991000000000472555 100 $a20060911d2007 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDegrees that matter $eclimate change and the university /$fAnn Rappaport and Sarah Hammond Creighton 210 $aCambridge, Mass. $cMIT Press$dİ2007 215 $a1 online resource (xviii, 372 pages) $cillustrations 225 1 $aUrban and industrial environments 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-262-68166-8 311 $a0-262-18258-0 330 $aExplains how members of college and university communities can take action on climate change: strategies, projects, and lessons in how to motivate complex organizations to make changes. 606 $aClimatic changes$zUnited States 606 $aGreenhouse gas mitigation$zUnited States 606 $aGlobal environmental change 606 $aScience$xStudy and teaching$zUnited States 606 $aUniversities and colleges$zUnited States 610 $aENVIRONMENT/General 610 $aEDUCATION/General 615 0$aClimatic changes 615 0$aGreenhouse gas mitigation 615 0$aGlobal environmental change. 615 0$aScience$xStudy and teaching 615 0$aUniversities and colleges 676 $a363.738/746071173 700 $aRappaport$b Ann$01573146 701 $aCreighton$b Sarah Hammond$01573147 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910777834503321 996 $aDegrees that matter$93848725 997 $aUNINA LEADER 04431nam 22006975 450 001 9910765491503321 005 20251009101846.0 010 $a9783031396953 010 $a3031396952 024 7 $a10.1007/978-3-031-39695-3 035 $a(CKB)29020630600041 035 $a(DE-He213)978-3-031-39695-3 035 $a(MiAaPQ)EBC31070092 035 $a(Au-PeEL)EBL31070092 035 $a(MiAaPQ)EBC30954345 035 $a(Au-PeEL)EBL30954345 035 $a(OCoLC)1410731324 035 $a(EXLCZ)9929020630600041 100 $a20231117d2023 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe What and How of Modelling Information and Knowledge $eFrom Mind Maps to Ontologies /$fby C. Maria Keet 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (XIV, 177 p. 40 illus., 17 illus. in color.) 311 08$a9783031396946 320 $aIncludes bibliographical references and index. 327 $a1. Introduction: Why Modelling? -- 2. Mind Maps -- 3. Models and Diagrams in Biology -- 4. Conceptual Data Models -- 5. Ontologies and Similar Artefacts -- 6. Ontology?With a Capital O -- 7. Fit For Purpose -- 8. Go Forth and Model. 330 $aThe main aim of this book is to introduce a group of models and modelling of information and knowledge comprehensibly. Such models and the processes for how to create them help to improve the skills to analyse and structure thoughts and ideas, to become more precise, to gain a deeper understanding of the matter being modelled, and to assist with specific tasks where modelling helps, such as reading comprehension and summarisation of text. The book draws ideas and transferrable approaches from the plethora of types of models and the methods, techniques, tools, procedures, and methodologies to create them in computer science. This book covers five principal declarative modelling approaches to model information and knowledge for different, yet related, purposes. It starts with entry-level mind mapping, to proceed to biological models and diagrams, onward to conceptual data models in software development, and from there to ontologies in artificial intelligence and all the way to ontologyin philosophy. Each successive chapter about a type of model solves limitations of the preceding one and turns up the analytical skills a notch. These what-and-how for each type of model is followed by an integrative chapter that ties them together, comparing their strengths and key characteristics, ethics in modelling, and how to design a modelling language. In so doing, we?ll address key questions such as: what type of models are there? How do you build one? What can you do with a model? Which type of model is best for what purpose? Why do all that modelling? The intended audience for this book is professionals, students, and academics in disciplines where systematic information modelling and knowledge representation is much less common than in computing, such as in commerce, biology, law, and humanities. And if a computer science student or a software developer needs a quick refresher on conceptual data models or a short solid overview of ontologies, then this book will servethem well. 606 $aKnowledge management 606 $aInformation modeling 606 $aAnalysis (Philosophy) 606 $aApplication software 606 $aSoftware engineering 606 $aKnowledge Management 606 $aInformation Model 606 $aConceptual Analysis 606 $aComputer and Information Systems Applications 606 $aSoftware Engineering 615 0$aKnowledge management. 615 0$aInformation modeling. 615 0$aAnalysis (Philosophy) 615 0$aApplication software. 615 0$aSoftware engineering. 615 14$aKnowledge Management. 615 24$aInformation Model. 615 24$aConceptual Analysis. 615 24$aComputer and Information Systems Applications. 615 24$aSoftware Engineering. 676 $a003 700 $aKeet$b C. Maria$01448636 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910765491503321 996 $aThe What and How of Modelling Information and Knowledge$93644345 997 $aUNINA