Verfügbarkeit: Model driven architecture and ontology development

Model driven architecture and ontology development:

Gespeichert in:

Bibliographische Detailangaben
Beteiligte Personen:	Gašević, Dragan (VerfasserIn), Djurić, Dragan (VerfasserIn), Deveǆić, Vladan (VerfasserIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	Berlin u.a. Springer 2006
Schlagwörter:	Architecture logicielle Logiciels - Développement Ontologieën (informatiewetenschap) Programmatuurtechniek UML (Informatique) Web sémantique Computer software > Development Semantic Web Software architecture UML (Computer science) Ontologie > Wissensverarbeitung UML RDF > Informatik Metamodell Modellgetriebene Entwicklung OWL > Informatik
Links:	http://deposit.dnb.de/cgi-bin/dokserv?id=2774826&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014878436&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	XVII, 311 S. Ill.
ISBN:	9783540321804 3540321802

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Datensatz im Suchindex

DE-BY-TUM_call_number	0002 DAT 310f 2008 A 6118
DE-BY-TUM_katkey	1640278
DE-BY-TUM_location	00
DE-BY-TUM_media_number	040006791095
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adam_text	CONTENTS PART I BASICS 1. KNOWLEDGE REPRESENTATION....................................................................3 1.1 BASIC CONCEPTS ...................................................................................4 1.2 COGNITIVE SCIENCE....................................................................... ........7 1.3 TYPES OF HUMAN KNOWLEDGE ............................................................11 1.4 KNOWLEDGE REPRESENTATION TECHNIQUES............................................14 1.4.1 OBJECTATTRIBUTEVALUE TRIPLETS ..........................................15 1.4.2 UNCERTAIN FACTS .....................................................................15 1.4.3 FUZZY FACTS ...........................................................................16 1.4.4 RULES .....................................................................................17 1.4.5 SEMANTIC NETWORKS................................................................18 1.4.6 FRAMES ..................................................................................19 1.5 KNOWLEDGE REPRESENTATION LANGUAGES.............................................19 1.5.1 LOGIC-BASED REPRESENTATION LANGUAGES...............................20 1.5.2 FRAME-BASED REPRESENTATION LANGUAGES ..............................27 1.5.3 RULE-BASED REPRESENTATION LANGUAGES.................................29 1.5.4 VISUAL LANGUAGES FOR KNOWLEDGE REPRESENTATION................32 1.5.5 NATURAL LANGUAGES AND KNOWLEDGE REPRESENTATION .............35 1.6 KNOWLEDGE ENGINEERING ...................................................................36 1.7 OPEN KNOWLEDGE BASE CONNECTIVITY (OKBC) .................................39 1.8 THE KNOWLEDGE LEVEL ......................................................................41 2. ONTOLOGIES .............................................................................................45 2.1 BASIC CONCEPTS .................................................................................46 2.1.1 DEFINITIONS ............................................................................46 2.1.2 WHAT DO ONTOLOGIES LOOK LIKE?..........................................48 2.1.3 WHY ONTOLOGIES? ..................................................................50 2.1.4 KEY APPLICATION AREAS..........................................................55 2.1.5 EXAMPLES...................................................................... .........57 2.2 ONTOLOGICAL ENGINEERING................................................................... 58 2.2.1 ONTOLOGY DEVELOPMENT TOOLS...............................................58 2.2.2 ONTOLOGY DEVELOPMENT METHODOLOGIES................................65 2.3 APPLICATIONS......................................................................................69 2.3.1 MAGPIE ..................................................................................69 2.3.2 BRIEFING ASSOCIATE.................................................................70 XIV CONTENTS 2.3.3 QUICKSTEP AND FOXTROT...........................................................71 2.4 ADVANCED TOPICS.............................................................................. 72 2.4.1 METADATA, METAMODELING, AND ONTOLOGIES ............................72 2.4.2 STANDARD UPPER ONTOLOGY .....................................................74 2.4.3 ONTOLOGICAL LEVEL .................................................................76 3. THE SEMANTIC WEB ............................................................................... 79 3.1 RATIONALE........................................................................................... 80 3.2 SEMANTIC WEB LANGUAGES ................................................................ 81 3.2.1 XML AND XML SCHEMA .......................................................81 3.2.2 RDF AND RDF SCHEMA .........................................................84 3.2.3 DAML+OIL .........................................................................87 3.2.4 OWL........................................................................... ..........90 3.2.5 SPARQL........................................................................ .......92 3.3 THE ROLE OF ONTOLOGIES .................................................................... 95 3.4 SEMANTIC MARKUP ............................................................................. 96 3.5 SEMANTIC WEB SERVICES .................................................................. 100 3.6 OPEN ISSUES..................................................................................... 104 3.7 QUOTATIONS ...................................................................................... 107 4. THE MODEL DRIVEN ARCHITECTURE (MDA)........................................... 109 4.1 MODELS AND METAMODELS................................................................. 109 4.2 PLATFORM-INDEPENDENT MODELS ........................................................ 110 4.3 FOUR-LAYER ARCHITECTURE................................................................. 112 4.4 THE META-OBJECT FACILITY ............................................................... 114 4.5 SPECIFIC MDA METAMODELS............................................................ 117 4.5.1 UNIFIED MODELING LANGUAGE...............................................117 4.5.2 COMMON WAREHOUSE METAMODEL (CWM)..........................118 4.5.3 ONTOLOGY DEFINITION METAMODEL.........................................119 4.6 UML PROFILES.................................................................................. 120 4.6.1 EXAMPLES OF UML PROFILES.................................................121 4.7 AN XML FOR SHARING MDA ARTIFACTS ............................................. 123 4.8 THE NEED FOR MODELING SPACES ...................................................... 126 5. MODELING SPACES................................................................................. 127 5.1 MODELING THE REAL WORLD ............................................................... 128 5.2 THE REAL WORLD, MODELS, AND METAMODELS .................................... 129 5.3 THE ESSENTIALS OF MODELING SPACES ................................................ 131 5.4 MODELING SPACES ILLUMINATED ......................................................... 134 5.5 A TOUCH OF RDF(S) AND MOF MODELING SPACES ........................... 137 5.6 A TOUCH OF THE SEMANTIC WEB AND MDA TECHNICAL SPACES.................................................................. 139 5.7 INSTEAD OF CONCLUSIONS ................................................................... 141 CONTENTS XV PART II THE MODEL DRIVEN ARCHITECTURE AND ONTOLOGIES 6. SOFTWARE ENGINEERING APPROACHES TO ONTOLOGY DEVELOPMENT........................................................................145 6.1 A BRIEF HISTORY OF ONTOLOGY MODELING ..........................................145 6.1.1 NETWORKED KNOWLEDGE REPRESENTATION AND EXCHANGE USING UML AND RDF.........................................145 6.1.2 EXTENDING THE UNIFIED MODELING LANGUAGE FOR ONTOLOGY DEVELOPMENT .................................................150 6.1.3 THE UNIFIED ONTOLOGY LANGUAGE ........................................155 6.1.4 UML FOR THE SEMANTIC WEB: TRANSFORMATION-BASED APPROACH........................................156 6.1.5 THE AIFB OWL DL METAMODEL.........................................159 6.1.6 THE GOOD OLD AI ODM PROPOSAL ..................................160 6.2 ONTOLOGY DEVELOPMENT TOOLS BASED ON SOFTWARE ENGINEERING TECHNIQUES..................................................160 6.2.1 PROTEGE ................................................................................161 6.2.2 DUET (DAML UML ENHANCED TOOL) ...............................164 6.2.3 AN ONTOLOGY TOOL FOR IBM RATIONAL ROSE UML MODELS.......................................165 6.2.4 VISUAL ONTOLOGY MODELER (VOM) ......................................167 6.3 SUMMARY OF RELATIONS BETWEEN UML AND ONTOLOGIES ..................168 6.3.1 SUMMARY OF APPROACHES AND TOOLS FOR SOFTWARE ENGINEERING-BASED ONTOLOGY DEVELOPMENT ........169 6.3.2 SUMMARY OF DIFFERENCES BETWEEN UML AND ONTOLOGY LANGUAGES ...........................................................169 6.3.3 FUTURE DEVELOPMENT ...........................................................172 7. THE MDA-BASED ONTOLOGY INFRASTRUCTURE.......................................173 7.1 MOTIVATION ......................................................................................173 7.2 OVERVIEW ........................................................................................174 7.3 BRIDGING RDF(S) AND MOF............................................................176 7.4 DESIGN RATIONALE FOR THE ONTOLOGY UML PROFILE............................178 8. THE ONTOLOGY DEFINITION METAMODEL (ODM)...................................181 8.1 ODM METAMODELS ..........................................................................181 8.2 A FEW ISSUES REGARDING THE REVISED JOINT SUBMISSION .................183 8.3 THE RESOURCE DESCRIPTION FRAMEWORK SCHEMA (RDFS) METAMODEL.........................................................................184 8.4 THE WEB ONTOLOGY LANGUAGE (OWL) METAMODEL.........................190 9. THE ONTOLOGY UML PROFILE ...............................................................201 9.1 CLASSES AND INDIVIDUALS IN ONTOLOGIES ............................................201 9.2 PROPERTIES OF ONTOLOGIES .................................................................204 9.3 STATEMENTS.......................................................................................206 9.4 DIFFERENT VERSIONS OF THE ONTOLOGY UML PROFILE...........................207 XVI CONTENTS 10. MAPPINGS OF MDA-BASED LANGUAGES AND ONTOLOGIES .................... 211 10.1 RELATIONS BETWEEN MODELING SPACES.............................................. 211 10.2 TRANSFORMATIONS BETWEEN MODELING SPACES .................................. 214 10.3 EXAMPLE OF AN IMPLEMENTATION: AN XSLT-BASED APPROACH .......... 217 10.3.1 IMPLEMENTATION DETAILS.......................................................218 10.3.2 TRANSFORMATION EXAMPLE ....................................................219 10.3.3 PRACTICAL EXPERIENCE ...........................................................222 10.3.4 DISCUSSION...........................................................................225 PART III APPLICATIONS 11. USING UML TOOLS FOR ONTOLOGY MODELING ....................................... 229 11.1 MAGICDRAW..................................................................................... 230 11.1.1 STARTING WITH MAGICDRAW ...................................................230 11.1.2 THINGS YOU SHOULD KNOW WHEN WORKING WITH UML PROFILES......................................................................232 11.1.3 CREATING A NEW ONTOLOGY ...................................................234 11.1.4 WORKING WITH ONTOLOGY CLASSES.........................................237 11.1.5 WORKING WITH ONTOLOGY PROPERTIES.....................................240 11.1.6 WORKING WITH INDIVIDUALS ...................................................244 11.1.7 WORKING WITH STATEMENTS ...................................................246 11.2 POSEIDON FOR UML.......................................................................... 247 11.2.1 MODELING ONTOLOGY CLASSES IN POSEIDON ............................249 11.2.2 MODELING ONTOLOGY INDIVIDUALS AND STATEMENTS IN POSEIDON .......................................................250 11.3 SHARING UML MODELS BETWEEN UML TOOLS AND PROTEGE USING THE UML BACK END ................................................. 251 12. AN MDA BASED ONTOLOGY PLATFORM: AIR ........................................ 255 12.1 MOTIVATION ...................................................................................... 255 12.2 THE BASIC IDEA ................................................................................ 256 12.3 METAMODEL * THE CONCEPTUAL BUILDING BLOCK OF AIR .................... 258 12.4 THE AIR METADATA REPOSITORY........................................................ 259 12.5 THE AIR WORKBENCH ...................................................................... 262 12.6 THE ROLE OF XML TECHNOLOGIES..................................................... 264 12.7 POSSIBILITIES..................................................................................... 265 13. EXAMPLES OF ONTOLOGY........................................................................ 267 13.1 PETRI NET ONTOLOGY...................................................................... .... 267 13.1.1 ORGANIZATION OF THE PETRI NET ONTOLOGY..............................269 13.1.2 THE CORE PETRI NET ONTOLOGY IN THE ONTOLOGY UML PROFILE .......................................................................272 13.1.3 EXAMPLE OF AN EXTENSION: UPGRADED PETRI NETS..................275 CONTENTS XVII 13.2 EDUCATIONAL ONTOLOGIES...................................................................2 78 13.2.1 CONCEPTUAL SOLUTION............................................................279 13.2.2 MAPPING THE CONCEPTUAL MODEL TO ONTOLOGIES ...................281 REFERENCES.....................................................................................................291 INDEX .............................................................................................................305
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author	Gašević, Dragan Djurić, Dragan Deveǆić, Vladan
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author_facet	Gašević, Dragan Djurić, Dragan Deveǆić, Vladan
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id	DE-604.BV021663970
illustrated	Illustrated
indexdate	2024-12-20T12:38:53Z
institution	BVB
isbn	9783540321804 3540321802
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-014878436
oclc_num	69983380
open_access_boolean
owner	DE-384 DE-739 DE-706 DE-20 DE-91G DE-BY-TUM DE-703 DE-83 DE-29T
owner_facet	DE-384 DE-739 DE-706 DE-20 DE-91G DE-BY-TUM DE-703 DE-83 DE-29T
physical	XVII, 311 S. Ill.
publishDate	2006
publishDateSearch	2006
publishDateSort	2006
publisher	Springer
record_format	marc
spellingShingle	Gašević, Dragan Djurić, Dragan Deveǆić, Vladan Model driven architecture and ontology development Architecture logicielle Logiciels - Développement Ontologieën (informatiewetenschap) gtt Programmatuurtechniek gtt UML (Informatique) Web sémantique Computer software Development Semantic Web Software architecture UML (Computer science) Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd UML (DE-588)4469781-8 gnd RDF Informatik (DE-588)4737512-7 gnd Metamodell (DE-588)4825945-7 gnd Modellgetriebene Entwicklung (DE-588)4832365-2 gnd OWL Informatik (DE-588)4396527-1 gnd
subject_GND	(DE-588)4827894-4 (DE-588)4469781-8 (DE-588)4737512-7 (DE-588)4825945-7 (DE-588)4832365-2 (DE-588)4396527-1
title	Model driven architecture and ontology development
title_auth	Model driven architecture and ontology development
title_exact_search	Model driven architecture and ontology development
title_full	Model driven architecture and ontology development Dragan Gašević ; Dragan Djurić ; Vladan Devedžić
title_fullStr	Model driven architecture and ontology development Dragan Gašević ; Dragan Djurić ; Vladan Devedžić
title_full_unstemmed	Model driven architecture and ontology development Dragan Gašević ; Dragan Djurić ; Vladan Devedžić
title_short	Model driven architecture and ontology development
title_sort	model driven architecture and ontology development
topic	Architecture logicielle Logiciels - Développement Ontologieën (informatiewetenschap) gtt Programmatuurtechniek gtt UML (Informatique) Web sémantique Computer software Development Semantic Web Software architecture UML (Computer science) Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd UML (DE-588)4469781-8 gnd RDF Informatik (DE-588)4737512-7 gnd Metamodell (DE-588)4825945-7 gnd Modellgetriebene Entwicklung (DE-588)4832365-2 gnd OWL Informatik (DE-588)4396527-1 gnd
topic_facet	Architecture logicielle Logiciels - Développement Ontologieën (informatiewetenschap) Programmatuurtechniek UML (Informatique) Web sémantique Computer software Development Semantic Web Software architecture UML (Computer science) Ontologie Wissensverarbeitung UML RDF Informatik Metamodell Modellgetriebene Entwicklung OWL Informatik
url	http://deposit.dnb.de/cgi-bin/dokserv?id=2774826&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014878436&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT gasevicdragan modeldrivenarchitectureandontologydevelopment AT djuricdragan modeldrivenarchitectureandontologydevelopment AT devedžicvladan modeldrivenarchitectureandontologydevelopment

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