Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL (Google eBook)

Front Cover
Morgan Kaufmann, Apr 9, 2009 - Computers - 352 pages
18 Reviews
The promise of the Semantic Web to provide a universal medium to exchange data information and knowledge has been well publicized. There are many sources too for basic information on the extensions to the WWW that permit content to be expressed in natural language yet used by software agents to easily find, share and integrate information. Until now individuals engaged in creating ontologies-- formal descriptions of the concepts, terms, and relationships within a given knowledge domain-- have had no sources beyond the technical standards documents.

Semantic Web for the Working Ontologist transforms this information into the practical knowledge that programmers and subject domain experts need. Authors Allemang and Hendler begin with solutions to the basic problems, but don’t stop there: they demonstrate how to develop your own solutions to problems of increasing complexity and ensure that your skills will keep pace with the continued evolution of the Semantic Web.

• Provides practical information for all programmers and subject matter experts engaged in modeling data to fit the requirements of the Semantic Web.
• De-emphasizes algorithms and proofs, focusing instead on real-world problems, creative solutions, and highly illustrative examples.
• Presents detailed, ready-to-apply “recipes” for use in many specific situations.
• Shows how to create new recipes from RDF, RDFS, and OWL constructs.
  

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Review: Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL

User Review  - Jim Morris - Goodreads

The first couple chapters are the best introduction to the Semantic Web and Linked Data that I've read. The rest is essential reading for anyone doing this professionally. Read full review

Review: Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL

User Review  - Bill Slawski - Goodreads

This is a good starting point for people interested in learning about the Semantic Web, and covers the major topics in a way that makes you think clearly about them., Read full review

Contents

A FEW MORE CONSTRUCTS
155
SUMMARY
156
Fundamental Concepts
157
Using RDFSPlus in the Wild
159
Semantic Relations in SKOS
163
Meaning of Semantic Relations
165
Special Purpose Inference
166
Published Subject Indicators
168

To Each Their Own
10
Theres Always One More
11
SUMMARY
12
Fundamental Concepts
13
Semantic Modeling
15
MODELING FOR HUMAN COMMUNICATION
17
EXPLANATION AND PREDICTION
19
Mediating Variability
21
Variation and Classes
22
Variation and Layers
23
Expressivity in Modeling
26
SUMMARY
28
Fundamental Concepts
29
RDFThe Basis of the Semantic Web
31
DISTRIBUTING DATA ACROSS THE WEB
32
MERGING DATA FROM MULTIPLE SOURCES
36
NAMESPACES URIs AND IDENTITY
37
Expressing URIs in Print
40
Standard Namespaces
43
IDENTIFIERS IN THE RDF NAMESPACE
44
RDF AND TABULAR DATA
45
HIGHERORDER RELATIONSHIPS
49
ALTERNATIVES FOR SERIALIZATION
51
Notation 3 RDF N3
52
RDFXML
53
BLANK NODES
54
Ordered Information in RDF
56
Fundamental Concepts
57
Semantic Web Application Architecture
59
RDF PARSERSERIALIZER
60
Other Data SourcesConverters and Scrapers
61
RDF STORE
64
RDF Data Standards and Interoperability of RDF Stores
66
Comparison to Relational Queries
72
APPLICATION CODE
73
RDFBacked Web Portals
75
SUMMARY
76
Fundamental Concepts
77
RDF and Inferencing
79
INFERENCE IN THE SEMANTIC WEB
80
Virtues of InferenceBased Semantics
82
WHERE ARE THE SMARTS?
83
Asserted Triples versus Inferred Triples
85
When Does Inferencing Happen?
87
Inferencing as Glue
88
SUMMARY
89
Fundamental Concepts
90
RDF Schema
91
WHAT DOES IT MEAN? SEMANTICS AS INFERENCE
93
THE RDF SCHEMA LANGUAGE
95
domain and rdfsrange
98
subClassOf
99
RDFS MODELING COMBINATIONS AND PATTERNS
102
Property Intersection
104
Set Union
105
Property Union
106
CHALLENGES
108
InstanceLevel Data Integration
110
Data Typing Based on Use
111
Filtering Undefined Data
115
MODELING WITH DOMAINS AND RANGES
116
NONMODELING PROPERTIES IN RDFS
120
rdfsisDefinedBy
121
Fundamental Concepts
122
RDFSPlus
123
INVERSE
124
Integrating Data that Do Not Want to Be Integrated
125
Using the Modeling Language to Extend the Modeling Language
127
The Marriage of Shakespeare
129
Using OWL to Extend OWL
130
TRANSITIVITY
131
Relating Parents to Ancestors
132
Layers of Relationships
133
Managing Networks of Dependencies
134
EQUIVALENCE
139
Equivalent Classes
141
Equivalent Properties
142
Same Individuals
143
Merging Data from Different Databases
146
COMPUTING SAMENESSFUNCTIONAL PROPERTIES
149
Functional Properties
150
Inverse Functional Properties
151
Combining Functional and Inverse Functional Properties
154
FOAF
169
People and Agents
170
Names in FOAF
171
Online Persona
172
Groups of People
173
Things People Make and Do
174
Identity in FOAF
175
Its Not What You Know Its Who You Know
176
SUMMARY
177
Fundamental Concepts
178
Basic OWL
179
Questions and Answers
180
Adding Restrictions
183
Kinds of Restrictions
184
CHALLENGE PROBLEMS
196
Filtering Data Based on Explicit Type
198
Relationship Transfer in SKOS
202
RELATIONSHIP TRANSFER IN FOAF
204
ALTERNATIVE DESCRIPTIONS OF RESTRICTIONS
209
SUMMARY
210
Fundamental Concepts
211
Counting and Sets in OWL
213
UNIONS AND INTERSECTIONS
214
Closing the World
216
differentFrom
218
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
INFERRING CLASS RELATIONSHIPS
238
REASONING WITH INDIVIDUALS AND WITH CLASSES
243
SUMMARY
244
Fundamental Concepts
245
Using OWL in the Wild
247
THE FEDERAL ENTERPRISE ARCHITECTURE REFERENCE MODEL ONTOLOGY
248
REFERENCE MODELS AND COMPOSABILITY
249
SETS VERSUS INDIVIDUALS
251
CONSTRAINTS BETWEEN MODELS
253
OWL AND COMPOSITION
255
imports
256
ADVANTAGES OF THE MODELING APPROACH
257
THE NATIONAL CANCER INSTITUTE ONTOLOGY
258
REQUIREMENTS OF THE NCI ONTOLOGY
259
UPPERLEVEL CLASSES
261
DESCRIBING CLASSES IN THE NCI ONTOLOGY
266
INSTANCELEVEL INFERENCING IN THE NCI ONTOLOGY
267
SUMMARY
269
Fundamental Concepts
270
Good and Bad Modeling Practices
271
Know What You Want
272
Inference Is Key
273
MODELING FOR REUSE
274
Keeping Track of Classes and Individuals
275
Model Testing
277
Exclusivity Antipattern
282
Objectification Antipattern
285
Managing Identifiers for Classes Antipattern
288
Creeping Conceptualization Antipattern
289
SUMMARY
290
Fundamental Concepts
291
OWL Levels and Logic
293
OWL DIALECTS AND MODELING PHILOSOPHY
294
Executable Models
296
OWL FULL VERSUS OWL DL
297
ClassIndividual Separation
298
OWL LITE
299
BEYOND OWL 10
300
Multipart Properties
301
Qualified Cardinality
302
Rules
303
SUMMARY
304
Conclusions
307
Frequently Asked Questions
313
Further Reading
317
Index
321
Copyright

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Page xvii - Dynamics Laboratory. Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a former member of the US Air Force Science Advisory Board, and is a Fellow of the American Association for Artificial Intelligence. He is also the former chief scientist of the Information Systems Office at the US Defence Advanced Research...
Page xvii - Hendler has authored approximately 200 technical papers in the areas of artificial intelligence, Semantic Web, agent-based computing, and high-performance processing. One of the inventors of the Semantic Web, he...
Page 16 - ... have in common as well as the ways in which they differ.
Page 7 - Web at the level of the data rather than at the level of the presentation.
Page xvii - Hendler is also the former chief scientist at the Information Systems Office of the US Defense Advanced Research Projects Agency (DARPA...

About the author (2009)

Dean Allemang is the chief scientist at TopQuadrant, Inc.-the first company in the United States devoted to consulting, training, and products for the Semantic Web. He co-developed (with Professor Hendler) TopQuadrant’s successful Semantic Web training series, which he has been delivering on a regular basis since 2003. He has served as an invited expert on numerous international review boards, including a review of the Digital Enterprise Research Institute-the world’s largest Semantic Web research institute - and the Innovative Medicines Initiative, a collaboration between 10 pharmaceutical companies and the European Commission to set the roadmap for the pharmaceutical industry for the near future.

Jim Hendler is the Tetherless World Senior Constellation Chair at Rensselaer Polytechnic Institute, and has authored over 200 technical papers in the areas of artificial intelligence, Semantic Web, agent-based computing, and web science. One of the early developers of the Semantic Web, he is the Editor-in-Chief emeritus of IEEE Intelligent Systems and is the first computer scientist to serve on the Board of Reviewing Editors for Science. In 2010, he was chosen as one of the 20 most innovative professors in America by Playboy magazine, Hendler currently serves as an "Internet Web Expert" for the U.S. government, providing guidance to the Data.gov project.

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