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Allemang, Dean
[VerfasserIn];
Hendler, James A.
[VerfasserIn]
Semantic web for the working ontologist
: effective modeling in RDFS and OWL
- [2. ed.]
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- Medientyp: E-Book
- Titel: Semantic web for the working ontologist : effective modeling in RDFS and OWL
- Beteiligte: Allemang, Dean [VerfasserIn]; Hendler, James A. [VerfasserIn]
-
Erschienen:
Amsterdam; Heidelberg [u.a.]: Elsevier Science, 2011
Online-Ausg.: [S.l.]: eblib, 2011 - Erschienen in: EBL-Schweitzer
- Ausgabe: 2. ed.
- Sprache: Englisch
- ISBN: 9780123859655
-
RVK-Notation:
ST 252 : Web-Programmierung, allgemein
-
Schlagwörter:
Semantic Web
>
RDF
>
OWL
- Art der Reproduktion: Online-Ausg.
- Hersteller der Reproduktion: [S.l.]: eblib, 2011
- Entstehung:
-
Anmerkungen:
Description based upon print version of record
-
Beschreibung:
Front Cover; Semantic Web for the Working Ontologist; Semantic Web for the Working Ontologist; Copyright; Contents; Preface to the second edition; Preface to the first edition; Acknowledgments; About the authors; Chapter 1 -What is the Semantic Web?; What Is a Web?; Smart Web, Dumb Web; Semantic Data; Summary; Chapter 2 -Semantic modeling; Modeling for Human Communication; Explanation and Prediction; Mediating variability; Expressivity in modeling; Summary; Chapter 3 -RDF-The basis of the Semantic Web; Distributing Data across the Web; Merging Data from Multiple Sources
Namespaces, URIs, and IdentityIdentifiers in the RDF Namespace; Challenge: RDF and Tabular Data; Higher-order Relationships; Alternatives for Serialization; RDF/XML; Blank Nodes; Summary; Chapter 4 -Semantic Web application architecture; RDF Parser/Serializer; RDF Store; Application Code; Data Federation; Summary; Chapter 5 -Querying the Semantic Web-SPARQL; Tell-and-Ask Systems; RDF as a Tell-and-Ask System; SPARQL-Query Language for RDF; Construct Queries in SPARQL; Using Results of CONSTRUCT Queries; SPARQL rules-Using SPARQL as a Rule Language; Advanced Features of SPARQL
Aggregates and Grouping (SPARQL 1.1)Subqueries (SPARQL 1.1); Union; Assignments (SPARQL 1.1); Federating SPARQL Queries; Summary; Chapter 6 -RDF and inferencing; Inference in the Semantic Web; Where Are the Smarts?; When Does Inferencing Happen?; Summary; Chapter 7 -RDF schema; Schema Languages and Their Functions; The RDF Schema Language; RDFS Modeling Combinations and Patterns; Set Union; Challenges; Modeling with Domains and Ranges; Nonmodeling Properties in RDFS; Summary; Chapter 8 -RDFS-Plus; Inverse; Symmetric Properties; Transitivity; Equivalence
Computing Sameness-Functional PropertiesA Few More Constructs; Summary; Chapter 9 -Using RDFS-Plus in the wild; Open Government Data; Data.gov Summary; FOAF; Facebook's Open Graph Protocol; Summary; Chapter 10 -SKOS-managing vocabularies with RDFS-Plus; Simple Knowledge Organization System (SKOS); Semantic Relations in SKOS; Concept Schemes; SKOS Integrity; SKOS in Action; Summary; Chapter 11 -Basic OWL; Restrictions; Challenge Problems; Solution; Solution; Alternative Descriptions of Restrictions; Summary; Chapter 12 -Counting and sets in OWL; Unions and Intersections
Differentiating Multiple IndividualsCardinality; Set Complement; Disjoint Sets; Prerequisites Revisited; Contradictions; Unsatisfiable Classes; Inferring Class Relationships; Reasoning with Individuals and with Classes; Summary; Chapter 13 -Ontologies on the Web-putting it all together; The Good Relations Ontology; Inferencing in the Good Relations Ontology; Composing Files; Summary; Quantities, Units, and Dimensions; Converting Units with QUDT; Dimension Checking in QUDT; Summary; Biological Ontologies; CHEBI as Unambiguous Reference; CHEBI for Complex Search; Summary
Chapter 14 -Good and bad modeling practices
Semantic Web models and technologies provide information in machine-readable languages that enable computers to access the Web more intelligently and perform tasks automatically without the direction of users. These technologies are relatively recent and advancing rapidly, creating a set of unique challenges for those developing applications. Semantic Web for the Working Ontologist is the essential, comprehensive resource on semantic modeling, for practitioners in health care, artificial intelligence, finance, engineering, military intelligence, enterprise architecture, and more. Focused o