Semantic web for the working ontologist: modeling in RDF, RDFS and OWL
The Semantic Web is a web infrastructure for integrating and combining data drawn from diverse sources. The authors' approach to building Semantic Web systems treats the modelling of the Symantic Web like a programming activity.
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Amsterdam [u.a.]
Morgan Kaufmann Publ. [u.a.]
2008
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Zusammenfassung: | The Semantic Web is a web infrastructure for integrating and combining data drawn from diverse sources. The authors' approach to building Semantic Web systems treats the modelling of the Symantic Web like a programming activity. |
Beschreibung: | Includes bibliographical references (p. 317-320) and index |
Beschreibung: | XVII, 330 S. Ill. 24 cm |
ISBN: | 9780123735560 0123735564 |
Internformat
MARC
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020 | |a 9780123735560 |c alk. paper |9 978-0-12-373556-0 | ||
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100 | 1 | |a Allemang, Dean |e Verfasser |0 (DE-588)136636187 |4 aut | |
245 | 1 | 0 | |a Semantic web for the working ontologist |b modeling in RDF, RDFS and OWL |c Dean Allemang ; James Hendler |
264 | 1 | |a Amsterdam [u.a.] |b Morgan Kaufmann Publ. [u.a.] |c 2008 | |
300 | |a XVII, 330 S. |b Ill. |c 24 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Includes bibliographical references (p. 317-320) and index | ||
520 | 3 | |a The Semantic Web is a web infrastructure for integrating and combining data drawn from diverse sources. The authors' approach to building Semantic Web systems treats the modelling of the Symantic Web like a programming activity. | |
650 | 7 | |a Inteligência artificial |2 larpcal | |
650 | 7 | |a Ontologia |2 larpcal | |
650 | 7 | |a Web semântica |2 larpcal | |
650 | 4 | |a Web site development | |
650 | 4 | |a Metadata | |
650 | 4 | |a Semantic Web | |
650 | 0 | 7 | |a Semantic Web |0 (DE-588)4688372-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a OWL |g Informatik |0 (DE-588)4396527-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a RDF |g Informatik |0 (DE-588)4737512-7 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Semantic Web |0 (DE-588)4688372-1 |D s |
689 | 0 | 1 | |a RDF |g Informatik |0 (DE-588)4737512-7 |D s |
689 | 0 | |5 DE-188 | |
689 | 1 | 0 | |a Semantic Web |0 (DE-588)4688372-1 |D s |
689 | 1 | 1 | |a OWL |g Informatik |0 (DE-588)4396527-1 |D s |
689 | 1 | |5 DE-188 | |
700 | 1 | |a Hendler, James A. |e Verfasser |4 aut | |
856 | 4 | 2 | |m Digitalisierung BSBMuenchen |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016577241&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
999 | |a oai:aleph.bib-bvb.de:BVB01-016577241 |
Datensatz im Suchindex
DE-BY-863_location | 1340 1911 |
---|---|
DE-BY-FWS_call_number | 1340/ST 205 A424st 1911/2015:0507 |
DE-BY-FWS_katkey | 346957 |
DE-BY-FWS_media_number | 083101131669 083101091820 |
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adam_text | Contents
Preface
xiii
About the Authors
xvii
CHAPTER
1
CHAPTER
2
CHAPTER
3
What Is the Semantic Web?
What Is a Web?
Smart Web, Dumb Web
Smart Web Applications
A Connected Web Is a Smarter Web
Semantic Data
A Distributed Web of Data
Features of a Semantic Web
What about the Round-Worlders?
To Each Their Own
There s Always One More
Summary
Fundamental Concepts
Semantic Modeling
Modeling for Human Communication
Explanation and Prediction
Mediating Variability
Variation and Classes
Variation and Layers
Expressivity in Modeling
Summary
Fundamental Concepts
RDF—The Basis of the Semantic Web
Distributing Data Across the Web
Merging Data from Multiple Sources
Namespaces, URIs, and Identity
Expressing URIs in Print
Standard Namespaces
Identifiers in the RDF Namespace
Challenge: RDF and Tabular Data
Higher-Order Relationships
Alternatives for Serialization
N-Triples
1
1
2
3
4
5
6
7
9
10
11
12
13
15
17
19
21
22
23
2b
28
29
31
32
3d
3-
40
43
44
45
49
SI
51
VU
viii
Contents
CHAPTER
4
Notation
3
RDF
(N3)
RDF/XML
Blank Nodes
Ordered Information in RDF
Summary-
Fundamental Concepts
Semantic Web Application Architecture
RDF Parser/Serializer
Other Data Sources
—
Converters and Scrapers
RDF Store
RDF Data Standards and Interoperability of
RDF Stores
RDF Query Engines and SPARQL
Comparison to Relational Queries
Application Code
RDF-Backed Web Portals
Data Federation
Summary
Fundamental Concepts
RDF and Inferencing
Inference in the Semantic Web
Virtues of Inference-Based Semantics
Where are the Smarts?
Asserted Triples versus Inferred Triples
When Does Inferencing Happen?
Inferencing as Glue
Summary
Fundamental Concepts
CHAPTER
6
RDF Schema
Schema Languages and Their Functions
What Does It Mean? Semantics as Inference
The RDF Schema Language
Relationship Propagation through
rdfs:subPropertyOf
Typing Data by Usage—rdfs:domain
and rdfs:range
Combination of Domain and Range with
rdfs:subClassOf
RDFS Modeling Combinations and Patterns
Set Intersection
CHAPTER
5
52
53
54
56
56
57
59
60
61
64
66
66
72
73
75
75
76
77
79
80
82
83
85
87
88
89
90
91
91
93
95
95
98
99
102
102
Contents
CHAPTER
7
Property Intersection
104
Set Union
105
Property Union
106
Property Transfer
106
Challenges
108
Term Reconciliation
108
Instance-Level Data Integration
110
Readable Labels with rdfs:label
110
Data Typing Based on Use
111
Filtering Undefined Data
115
RDFS and Knowledge Discovery
115
Modeling with Domains and Ranges
116
Multiple Domains/Ranges
116
Nonmodeling Properties in RDFS
120
Cross-Referencing Files: rdfs:seeAlso
120
Organizing Vocabularies: rdfs:isDefinedBy
121
Model Documentation: rdfs:comment
121
Summary
121
Fundamental Concepts
122
RDFS-Plus
123
Inverse
124
Challenge: Integrating Data that Do Not Want
to Be Integrated
125
Challenge: Using the Modeling Language to
Extend the Modeling Language
127
Challenge: The Marriage of Shakespeare
129
Symmetric Properties
129
Using OWL to Extend OWL
130
Transitivity
131
Challenge: Relating Parents to Ancestors
132
Challenge: Layers of Relationships
133
Managing Networks of Dependencies
134
Equivalence
139
Equivalent Classes
141
Equivalent Properties
142
Same Individuals
143
Challenge: Merging Data from Different Databases
146
Computing Sameness
—
Functional Properties
149
Functional Properties
150
Inverse Functional Properties
151
Combining Functional and Inverse
Functional Properties
154
Contents
A Few More Constructs 155
Summary 156
Fundamental Concepts 157
CHAPTER
8
Using BDFS-Plus in the Wild
159
SKOS
159
Semantic Relations in
SKOS
Meaning of Semantic Relations
Special Purpose Inference
Published Subject Indicators
SKOS
in Action l68
FOAF l69
People and Agents
170
Names in FOAF 171
Nicknames and Online Names
1*71
Online Persona
172
Groups of People
173
Things People Make and Do
174
Identity in FOAF
175
It s Not What You Know, It s Who You Know
176
Summary
177
Fundamental Concepts
178
CHAPTER
9
Basic OWL
179
Restrictions
179
Example: Questions and Answers
Adding Restrictions
Kinds of Restrictions
Challenge Problems
196
Challenge: Local Restriction of Ranges
196
Challenge: Filtering Data Based on Explicit Type
198
Challenge: Relationship Transfer in
SKOS
202
Relationship Transfer in FOAF
204
Alternative Descriptions of Restrictions
209
Summary
210
Fundamental Concepts
211
CHAPTER
10
Counting and Sets in OWL
213
Unions and Intersections
214
Closing the World
216
Enumerating Sets with owloneOf
216
Differentiating Individuals with
owl:differentFrom
218
Contents
I
xi
Differentiating Multiple Individuals
219
Cardinality
222
Small Cardinality Limits
225
Set Complement
226
Disjoint Sets
228
Prerequisites Revisited
231
No Prerequisites
232
Counting Prerequisites
233
Guarantees of Existence
234
Contradictions
235
Unsatisfiable Classes
237
Propagation of Unsatisfiable Classes
237
Inferring Class Relationships
238
Reasoning with Individuals and with Classes
243
Summary
244
Fundamental Concepts
245
CHAPTER
11
Using OWL in the Wild
247
The Federal Enterprise Architecture Reference
Model Ontology
248
Reference Models and Composability
249
Resolving Ambiguity in the Model: Sets
versus Individuals
251
Constraints between Models
253
OWL and Composition
255
owlOntology
255
owlimports
256
Advantages of the Modeling Approach
257
The National Cancer Institute Ontology
258
Requirements of the NCI Ontology
259
Upper-Level Classes
261
Describing Classes in the NCI Ontology
266
Instance-Level Inferencing in the NCI Ontology
267
Summary
269
Fundamental Concepts
270
CHAPTER
12
Good and Bad Modeling Practices
271
Getting Started
271
Know What You Want
272
Inference Is Key
273
Modeling for Reuse
274
Insightful Names versus Wishful Names
274
xii
I Contents
Keeping Track of Classes and Individuals
275
Model Testing
277
Common Modeling Errors
277
Rampant Classism (Antipattern)
277
Exclusivity (Antipattern)
282
Objectification (Antipattern)
285
Managing Identifiers for Classes (Antipattern)
288
Creeping Conceptualization (Antipattern)
289
Summary
290
Fundamental Concepts
291
CHAPTER
13
OWL Levels and Logic
293
OWL Dialects and Modeling Philosophy
294
Provable Models
294
Executable Models
296
OWL Full versus OWL DL
297
Class/Individual Separation
298
InverseFunctional Datatypes
298
OWL lite
299
Other Subsets of OWL
299
Beyond OWL
1.0
300
Metamodeling
300
Multipart Properties
301
Qualified Cardinality
302
Multiple Inverse Functional Properties
302
Rules
303
Summary
304
Fundamental Concepts
304
CHAPTER
14
Conclusions
307
APPENDIX Frequently Asked Questions
313
Further Reading
317
Index
321
|
adam_txt |
Contents
Preface
xiii
About the Authors
xvii
CHAPTER
1
CHAPTER
2
CHAPTER
3
What Is the Semantic Web?
What Is a Web?
Smart Web, Dumb Web
Smart Web Applications
A Connected Web Is a Smarter Web
Semantic Data
A Distributed Web of Data
Features of a Semantic Web
What about the Round-Worlders?
To Each Their Own
There's Always One More
Summary
Fundamental Concepts
Semantic Modeling
Modeling for Human Communication
Explanation and Prediction
Mediating Variability'
Variation and Classes
Variation and Layers
Expressivity in Modeling
Summary
Fundamental Concepts
RDF—The Basis of the Semantic Web
Distributing Data Across the Web
Merging Data from Multiple Sources
Namespaces, URIs, and Identity
Expressing URIs in Print
Standard Namespaces
Identifiers in the RDF Namespace
Challenge: RDF and Tabular Data
Higher-Order Relationships
Alternatives for Serialization
N-Triples
1
1
2
3
4
5
6
7
9
10
11
12
13
15
17
19
21
22
23
2b
28
29
31
32
3d
3-
40
43
44
45
49
SI
51
VU
viii
Contents
CHAPTER
4
Notation
3
RDF
(N3)
RDF/XML
Blank Nodes
Ordered Information in RDF
Summary-
Fundamental Concepts
Semantic Web Application Architecture
RDF Parser/Serializer
Other Data Sources
—
Converters and Scrapers
RDF Store
RDF Data Standards and Interoperability of
RDF Stores
RDF Query Engines and SPARQL
Comparison to Relational Queries
Application Code
RDF-Backed Web Portals
Data Federation
Summary
Fundamental Concepts
RDF and Inferencing
Inference in the Semantic Web
Virtues of Inference-Based Semantics
Where are the Smarts?
Asserted Triples versus Inferred Triples
When Does Inferencing Happen?
Inferencing as Glue
Summary
Fundamental Concepts
CHAPTER
6
RDF Schema
Schema Languages and Their Functions
What Does It Mean? Semantics as Inference
The RDF Schema Language
Relationship Propagation through
rdfs:subPropertyOf
Typing Data by Usage—rdfs:domain
and rdfs:range
Combination of Domain and Range with
rdfs:subClassOf
RDFS Modeling Combinations and Patterns
Set Intersection
CHAPTER
5
52
53
54
56
56
57
59
60
61
64
66
66
72
73
75
75
76
77
79
80
82
83
85
87
88
89
90
91
91
93
95
95
98
99
102
102
Contents
CHAPTER
7
Property Intersection
104
Set Union
105
Property Union
106
Property Transfer
106
Challenges
108
Term Reconciliation
108
Instance-Level Data Integration
110
Readable Labels with rdfs:label
110
Data Typing Based on Use
111
Filtering Undefined Data
115
RDFS and Knowledge Discovery
115
Modeling with Domains and Ranges
116
Multiple Domains/Ranges
116
Nonmodeling Properties in RDFS
120
Cross-Referencing Files: rdfs:seeAlso
120
Organizing Vocabularies: rdfs:isDefinedBy
121
Model Documentation: rdfs:comment
121
Summary
121
Fundamental Concepts
122
RDFS-Plus
123
Inverse
124
Challenge: Integrating Data that Do Not Want
to Be Integrated
125
Challenge: Using the Modeling Language to
Extend the Modeling Language
127
Challenge: The Marriage of Shakespeare
129
Symmetric Properties
129
Using OWL to Extend OWL
130
Transitivity
131
Challenge: Relating Parents to Ancestors
132
Challenge: Layers of Relationships
133
Managing Networks of Dependencies
134
Equivalence
139
Equivalent Classes
141
Equivalent Properties
142
Same Individuals
143
Challenge: Merging Data from Different Databases
146
Computing Sameness
—
Functional Properties
149
Functional Properties
150
Inverse Functional Properties
151
Combining Functional and Inverse
Functional Properties
154
Contents
A Few More Constructs 155
Summary 156
Fundamental Concepts 157
CHAPTER
8
Using BDFS-Plus in the Wild
159
SKOS
159
Semantic Relations in
SKOS
Meaning of Semantic Relations
Special Purpose Inference
Published Subject Indicators
SKOS
in Action l68
FOAF l69
People and Agents
170
Names in FOAF 171
Nicknames and Online Names
1*71
Online Persona
172
Groups of People
173
Things People Make and Do
174
Identity in FOAF
175
It's Not What You Know, It's Who You Know
176
Summary
177
Fundamental Concepts
178
CHAPTER
9
Basic OWL
179
Restrictions
179
Example: Questions and Answers
Adding "Restrictions"
Kinds of Restrictions
Challenge Problems
196
Challenge: Local Restriction of Ranges
196
Challenge: Filtering Data Based on Explicit Type
198
Challenge: Relationship Transfer in
SKOS
202
Relationship Transfer in FOAF
204
Alternative Descriptions of Restrictions
209
Summary
210
Fundamental Concepts
211
CHAPTER
10
Counting and Sets in OWL
213
Unions and Intersections
214
Closing the World
216
Enumerating Sets with owloneOf
216
Differentiating Individuals with
owl:differentFrom
218
Contents
I
xi
Differentiating Multiple Individuals
219
Cardinality
222
Small Cardinality Limits
225
Set Complement
226
Disjoint Sets
228
Prerequisites Revisited
231
No Prerequisites
232
Counting Prerequisites
233
Guarantees of Existence
234
Contradictions
235
Unsatisfiable Classes
237
Propagation of Unsatisfiable Classes
237
Inferring Class Relationships
238
Reasoning with Individuals and with Classes
243
Summary
244
Fundamental Concepts
245
CHAPTER
11
Using OWL in the Wild
247
The Federal Enterprise Architecture Reference
Model Ontology
248
Reference Models and Composability
249
Resolving Ambiguity in the Model: Sets
versus Individuals
251
Constraints between Models
253
OWL and Composition
255
owlOntology
255
owlimports
256
Advantages of the Modeling Approach
257
The National Cancer Institute Ontology
258
Requirements of the NCI Ontology
259
Upper-Level Classes
261
Describing Classes in the NCI Ontology
266
Instance-Level Inferencing in the NCI Ontology
267
Summary
269
Fundamental Concepts
270
CHAPTER
12
Good and Bad Modeling Practices
271
Getting Started
271
Know What You Want
272
Inference Is Key
273
Modeling for Reuse
274
Insightful Names versus Wishful Names
274
xii
I Contents
Keeping Track of Classes and Individuals
275
Model Testing
277
Common Modeling Errors
277
Rampant Classism (Antipattern)
277
Exclusivity (Antipattern)
282
Objectification (Antipattern)
285
Managing Identifiers for Classes (Antipattern)
288
Creeping Conceptualization (Antipattern)
289
Summary
290
Fundamental Concepts
291
CHAPTER
13
OWL Levels and Logic
293
OWL Dialects and Modeling Philosophy
294
Provable Models
294
Executable Models
296
OWL Full versus OWL DL
297
Class/Individual Separation
298
InverseFunctional Datatypes
298
OWL lite
299
Other Subsets of OWL
299
Beyond OWL
1.0
300
Metamodeling
300
Multipart Properties
301
Qualified Cardinality
302
Multiple Inverse Functional Properties
302
Rules
303
Summary
304
Fundamental Concepts
304
CHAPTER
14
Conclusions
307
APPENDIX Frequently Asked Questions
313
Further Reading
317
Index
321 |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author | Allemang, Dean Hendler, James A. |
author_GND | (DE-588)136636187 |
author_facet | Allemang, Dean Hendler, James A. |
author_role | aut aut |
author_sort | Allemang, Dean |
author_variant | d a da j a h ja jah |
building | Verbundindex |
bvnumber | BV023394351 |
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callnumber-raw | TK5105.888 |
callnumber-search | TK5105.888 |
callnumber-sort | TK 45105.888 |
callnumber-subject | TK - Electrical and Nuclear Engineering |
classification_rvk | AN 93100 ST 205 ST 252 |
classification_tum | DAT 616f |
ctrlnum | (OCoLC)184925396 (DE-599)BVBBV023394351 |
dewey-full | 025.04 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 025 - Operations of libraries and archives |
dewey-raw | 025.04 |
dewey-search | 025.04 |
dewey-sort | 225.04 |
dewey-tens | 020 - Library and information sciences |
discipline | Allgemeines Informatik |
discipline_str_mv | Allgemeines Informatik |
format | Book |
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id | DE-604.BV023394351 |
illustrated | Illustrated |
index_date | 2024-07-02T21:21:18Z |
indexdate | 2024-08-01T11:21:33Z |
institution | BVB |
isbn | 9780123735560 0123735564 |
language | English |
lccn | 2007051586 |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016577241 |
oclc_num | 184925396 |
open_access_boolean | |
owner | DE-20 DE-12 DE-355 DE-BY-UBR DE-92 DE-703 DE-863 DE-BY-FWS DE-83 DE-11 DE-525 DE-188 DE-91G DE-BY-TUM |
owner_facet | DE-20 DE-12 DE-355 DE-BY-UBR DE-92 DE-703 DE-863 DE-BY-FWS DE-83 DE-11 DE-525 DE-188 DE-91G DE-BY-TUM |
physical | XVII, 330 S. Ill. 24 cm |
publishDate | 2008 |
publishDateSearch | 2008 |
publishDateSort | 2008 |
publisher | Morgan Kaufmann Publ. [u.a.] |
record_format | marc |
spellingShingle | Allemang, Dean Hendler, James A. Semantic web for the working ontologist modeling in RDF, RDFS and OWL Inteligência artificial larpcal Ontologia larpcal Web semântica larpcal Web site development Metadata Semantic Web Semantic Web (DE-588)4688372-1 gnd OWL Informatik (DE-588)4396527-1 gnd RDF Informatik (DE-588)4737512-7 gnd |
subject_GND | (DE-588)4688372-1 (DE-588)4396527-1 (DE-588)4737512-7 |
title | Semantic web for the working ontologist modeling in RDF, RDFS and OWL |
title_auth | Semantic web for the working ontologist modeling in RDF, RDFS and OWL |
title_exact_search | Semantic web for the working ontologist modeling in RDF, RDFS and OWL |
title_exact_search_txtP | Semantic web for the working ontologist modeling in RDF, RDFS and OWL |
title_full | Semantic web for the working ontologist modeling in RDF, RDFS and OWL Dean Allemang ; James Hendler |
title_fullStr | Semantic web for the working ontologist modeling in RDF, RDFS and OWL Dean Allemang ; James Hendler |
title_full_unstemmed | Semantic web for the working ontologist modeling in RDF, RDFS and OWL Dean Allemang ; James Hendler |
title_short | Semantic web for the working ontologist |
title_sort | semantic web for the working ontologist modeling in rdf rdfs and owl |
title_sub | modeling in RDF, RDFS and OWL |
topic | Inteligência artificial larpcal Ontologia larpcal Web semântica larpcal Web site development Metadata Semantic Web Semantic Web (DE-588)4688372-1 gnd OWL Informatik (DE-588)4396527-1 gnd RDF Informatik (DE-588)4737512-7 gnd |
topic_facet | Inteligência artificial Ontologia Web semântica Web site development Metadata Semantic Web OWL Informatik RDF Informatik |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016577241&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT allemangdean semanticwebfortheworkingontologistmodelinginrdfrdfsandowl AT hendlerjamesa semanticwebfortheworkingontologistmodelinginrdfrdfsandowl |
Inhaltsverzeichnis
Würzburg Teilbibliothek SHL, Raum I.2.11
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1340 ST 205 A424st |
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1911 2015:0507 |
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